Sr Staff Data Engineer - GE07DE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Enterprise Data Services department's IT team supporting Global specialty is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. We are looking for a talented professional with a proven track record of engineering the ELT development and integration using Snowflake. Our ideal candidate will leverage deep technical expertise and problem-solving skills to deliver invest , maintenance and enhancement projects within the Data & Analytics Value stream.
This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT; Charlotte, NC; Chicago, IL; Frisco, TX; Columbus, OH, Danbury, CT, Alpharetta, GA) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship.

This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Role Description:

The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing. Responsibilities will also include technical delivery review, resolution of architecture issues in AWS Snowflake platform.

Responsibilities:

Demonstrate expertise in Snowflake's cloud native architecture and Microsoft SQL server technology.
Ability to create, troubleshoot, enhance complex code in Snowflake and SQL server.
Experience in building data pipelines(ELT) with Snowflake cloud data platform using AWS compute (EC2) and storage layers (S3).
Experience in building the Snowflake SQL Datawarehouse using the Virtual warehouses based on best practices.
Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration.
Implement and leverage Materialized views, Data Sharing, Clone Feature and Performed Dynamic data Masking.
Have a solid understanding of delivery methodology(SDLC) and lead teams in the implementation of the solution according to the design/architecture.
Hands on experience with Snow SQL, Stored Procedures, UDF's using JavaScript, SnowPipe and other snowflake utilities.
Experience in Data migration from RDMS to snowflake cloud Datawarehouse.
Experience in data security and data access controls and design.
Solution the data loading and unloading activities to/from Snowflake.
Experience working with Data Lakes loading disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data.
Experience in building data pipelines using Talend and automation of data ingestion including change data capture (CDC).
Integration of data pipelines with source control repository and build CI/CD pipeline and DevOps.
Experience in Performance Tuning of Talend / SQL Agent Jobs to reduce the CPU time/load timing.
Deeper Knowledge on SnowFlake License model and their continuous data protection life cycle.
Architect reusable Talend components such as Audit and reconciliation of jobs.
Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design.
Support and quickly respond to Production issues and requirements clarifications.
Coordinate as needed between multiple disciplines such as, Architects, Business Analysts, Scrum Masters, and Developers to get technical clarity leading to design, develop and implementation of business solution.
Oversight of quality and completeness of detailed technical specifications, solution designs, and code reviews as well as adherence to the non-functional requirements.
Experience in delivering technical solutions in an iterative, agile environment (Scrum/Kanban)
Participate as active agile team member to help drive feature refinement, user story completion, code review, etc.
Identify, document, and communicate technical risks, issues and alternative technical solutions discovered during project.
Collaboration with a high-performing, forward-focused team, Release train engineer, Product Owner(s) and Business stakeholders.
Ability to work on innovative and new projects with a "fail-fast" approach to provide optimal solutions that bring the most value to the business.
Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs.
Qualifications & Key Skills:    Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
5+ years in Snowflake in AWS and Talend Data Integrator.
7+ years of hands-on experience in Datawarehouse and Data Integration(ELT/ETL)
7+ years of Proficiency in ETL with Microsoft Business Intelligence (SSIS, SSRS) and other tools.
2+ years of hands-on experience with Data Visualization (preferably Tableau).
Strong background and problem-solving skills with Enterprise Data warehouse , ETL/ELT development, Database Replication, metadata management and data quality.
Hands-on experience in all phases of SDLC developing ETL solutions using T-SQL code, Stored Procedures, SSIS.
Strong data warehouse applications knowledge in preferably in financial/insurance domain is required.
Knowledge of version control tools , CI/CD pipeline and DevOps tools like GitHub , Jenkins nexus and uDeploy.
Knowledge of Data Profiling, Data Modeling and Database design is key to this role.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$132,400 - $198,600

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Director, Data Engineer (Hybrid)
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is seeking a Director of Data Engineering within Global Specialty Data Science & Analytics to lead a team of Data Engineers to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions, as well as business intelligence assets and other analytic work across a wide range of strategic initiatives.

As a Director of Data Engineering, you will lead a team through the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge of emerging technologies. We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting-edge and forward-focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data delivery.

This role will have a Hybrid work arrangement, with the expectation of working in an office location (Charlotte NC, Chicago IL, Columbus OH or Hartford CT) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Responsibilities:

Actively lead and develop a team of data engineers to deliver and maintain reusable and sustainable data assets and production pipelines that assist the functional business units in meeting their strategic objectives.

Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities.

Develop the design and vision for data pipelines and testing frameworks, both batch and real-time to meet business needs while balancing maintainability, reliability, security, and scalability.

Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions.

Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices.

Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture.

Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset.

Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.).

Qualifications:

8+ years of relevant experience recommended.

Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related discipline.

Experience in managing Data Engineering teams in an Agile environment.

Expertise in Python and SQL.

Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON.

Expertise in ETL concerning metadata management and data validation.

Expertise in Unix and Git.

Expertise in Automation tools (Autosys, Cron, Airflow, etc.).

Experience with AWS Services (i.e. S3, EMR, etc.) a plus.

Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus.

Able to communicate effectively with both technical and non-technical teams.

Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.

Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques.

Compensation:

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$148,720 - $223,080

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

#J-18808-Ljbffr

The Hartford Director, Data Engineer (Hybrid) Hartford, Connecticut We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking a Director of Data Engineering within Global Specialty Data Science & Analytics to lead a team of Data Engineers to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions, as well as business intelligence assets and other analytic work across a wide range of strategic initiatives.
As a Director of Data Engineering, you will lead a team through the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge of emerging technologies. We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data delivery.
This role will have a Hybrid work arrangement, with the expectation of working in an office location (Charlotte NC, Chicago IL, Columbus OH or Hartford CT) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Responsibilities: Actively lead and develop a team of data engineers to deliver and maintain reusable and sustainable data assets and production pipelines that assist the functional business units in meeting their strategic objectives.
Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities.
Develop the design and vision for data pipelines and testing frameworks, both batch and real-time to meet business needs while balancing maintainability, reliability, security, and scalability.
Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions.
Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices.
Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture.
Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset.
Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.).
Qualifications: 8+ years of relevant experience recommended.
Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related discipline.
Experience in managing Data Engineering teams in an Agile environment.
Expertise in Python and SQL.
Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON.
Expertise in ETL concerning metadata management and data validation.
Expertise in Unix and Git.
Expertise in Automation tools (Autosys, Cron, Airflow, etc.).
Experience with AWS Services (i.e. S3, EMR, etc.) a plus.
Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus.
Able to communicate effectively with both technical and non-technical teams.
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques.
Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$148,720 - $223,080
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Human achievement is at the heart of what we do.
We believe that with the right encouragement and support, people are capable of achieving amazing things.
We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.
Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.
We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.

#J-18808-Ljbffr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The IoT Lab engages with customers of The Hartford to deploy a wide array of sensor technologies that seek to better characterize and mitigate risk. Some examples of sensor technologies that the IoT Lab utilizes are devices that detect the presence of water leaks, wearable technologies that characterize the movement of warehouse and factory workers, and automotive telematics devices to characterize driver behaviors on the road. The Data Engineering role for the IoT Lab specializes in all stages of the data delivery process from the devices deployed to customers. The individual makes informed decisions about ingestion solutions, data transformation, and data storage that make the data resilient and more powerful to internal consumers. The individual will work with a small team of engineers focused on creating a robust marketplace of IoT and Telematics data for the enterprise. The individual is expected to have a wide set of skills from both data engineering, and software engineering more generally. The individual should have experience working with a wide range of data formats, and storage solutions. Data ingestion and delivery require the individual to also have experience in web development, specifically with RESTful web services. Responsibilities <ul><li>Work with a team of engineers to make decisions about data delivery and solve problems related to data when needed.</li><li>Communicate with data vendors to design and implement data collection methods.</li><li>Develop autonomous data collection processes in a cloud environment.</li><li>Design data lake tables that provide data in an understandable format within the context of the larger business.</li><li>Work with Data Scientists to understand the ways they consume data and design data lakes and APIs to support their models and processes.</li><li>Write documentation to support development and provide information to downstream consumers of data.</li><li>Contribute to the development of internal web applications and APIs to serve data and model the IoT Lab's processes.</li></ul> Qualifications: <ul><li>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</li><li>Bachelors degree in Computer Science, Software Engineering, or equivalent and 3 years of relevant experience.</li><li>Python programming (3+ years)</li><li>Experience with Database and Data Lake systems</li><li>PostgreSQL, MySQL, Oracle, Dremio, Athena, etc.</li><li>Experience writing SQL queries</li><li>Specific Services: Lambda, Glue, S3, RDS</li><li>Experience with Web/API Development</li><li>RESTful web services</li></ul> Nice to have skills: <ul><li>Experience with AWS cloud development is a plus</li><li>Experience with Tableau is a plus</li><li>GraphQL is a plus</li><li>Flask framework is a plus</li><li>Knowledge of CI/CD pipeline deployment is a plus</li><li>Experience with Javascript and React Frontend Web Development is a plus</li></ul> Competencies <ul><li>Critical thinking skills for designing solutions to complex and sometimes ambiguous problems.</li><li>High attention to detail and forethought of issues when designing solutions</li><li>Team mindset, collaborative approach to developing solutions</li><li>Effective communication both internally and externally with vendors</li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $97,600 - $146,400 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Enterprise Data Services department's IT team supporting Global specialty is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. We are looking for a talented professional with a proven track record of engineering the ELT development and integration using Snowflake. Our ideal candidate will leverage deep technical expertise and problem-solving skills to deliver invest , maintenance and enhancement projects within the Data & Analytics Value stream. This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT; Charlotte, NC; Chicago, IL; Frisco, TX; Columbus, OH, Danbury, CT, Alpharetta, GA) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Role Description: The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing. Responsibilities will also include technical delivery review, resolution of architecture issues in AWS Snowflake platform. Responsibilities: <ul> <li>Demonstrate expertise in Snowflake's cloud native architecture and Microsoft SQL server technology. </li><li>Ability to create, troubleshoot, enhance complex code in Snowflake and SQL server. </li><li>Experience in building data pipelines(ELT) with Snowflake cloud data platform using AWS compute (EC2) and storage layers (S3). </li><li>Experience in building the Snowflake SQL Datawarehouse using the Virtual warehouses based on best practices. </li><li>Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. </li><li>Implement and leverage Materialized views, Data Sharing, Clone Feature and Performed Dynamic data Masking. </li><li>Have a solid understanding of delivery methodology(SDLC) and lead teams in the implementation of the solution according to the design/architecture. </li><li>Hands on experience with Snow SQL, Stored Procedures, UDF's using JavaScript, SnowPipe and other snowflake utilities. </li> <li>Experience in Data migration from RDMS to snowflake cloud Datawarehouse. </li><li>Experience in data security and data access controls and design. </li> <li>Solution the data loading and unloading activities to/from Snowflake. </li><li>Experience working with Data Lakes loading disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data. </li><li>Experience in building data pipelines using Talend and automation of data ingestion including change data capture (CDC). </li><li>Integration of data pipelines with source control repository and build CI/CD pipeline and DevOps. </li><li>Experience in Performance Tuning of Talend / SQL Agent Jobs to reduce the CPU time/load timing. </li><li>Deeper Knowledge on SnowFlake License model and their continuous data protection life cycle. </li><li>Architect reusable Talend components such as Audit and reconciliation of jobs. </li> <li>Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design. </li><li>Support and quickly respond to Production issues and requirements clarifications. </li><li>Coordinate as needed between multiple disciplines such as, Architects, Business Analysts, Scrum Masters, and Developers to get technical clarity leading to design, develop and implementation of business solution. </li><li>Oversight of quality and completeness of detailed technical specifications, solution designs, and code reviews as well as adherence to the non-functional requirements. </li><li>Experience in delivering technical solutions in an iterative, agile environment (Scrum/Kanban) </li><li>Participate as active agile team member to help drive feature refinement, user story completion, code review, etc. </li><li>Identify, document, and communicate technical risks, issues and alternative technical solutions discovered during project. </li><li>Collaboration with a high-performing, forward-focused team, Release train engineer, Product Owner(s) and Business stakeholders. </li><li>Ability to work on innovative and new projects with a "fail-fast" approach to provide optimal solutions that bring the most value to the business. </li><li>Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs. </li></ul>Qualifications & Key Skills: <ul> <li>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. </li><li>5+ years in Snowflake in AWS and Talend Data Integrator. </li><li>7+ years of hands-on experience in Datawarehouse and Data Integration(ELT/ETL) </li><li>7+ years of Proficiency in ETL with Microsoft Business Intelligence (SSIS, SSRS) and other tools. </li><li>2+ years of hands-on experience with Data Visualization (preferably Tableau). </li><li>Strong background and problem-solving skills with Enterprise Data warehouse , ETL/ELT development, Database Replication, metadata management and data quality. </li><li>Hands-on experience in all phases of SDLC developing ETL solutions using T-SQL code, Stored Procedures, SSIS. </li><li>Strong data warehouse applications knowledge in preferably in financial/insurance domain is required. </li><li>Knowledge of version control tools , CI/CD pipeline and DevOps tools like GitHub , Jenkins nexus and uDeploy. </li><li>Knowledge of Data Profiling, Data Modeling and Database design is key to this role. </li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $132,400 - $198,600 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The IoT Lab engages with customers of The Hartford to deploy a wide array of sensor technologies that seek to better characterize and mitigate risk. Some examples of sensor technologies that the IoT Lab utilizes are devices that detect the presence of water leaks, wearable technologies that characterize the movement of warehouse and factory workers, and automotive telematics devices to characterize driver behaviors on the road. The Data Engineering role for the IoT Lab specializes in all stages of the data delivery process from the devices deployed to customers. The individual makes informed decisions about ingestion solutions, data transformation, and data storage that make the data resilient and more powerful to internal consumers. The individual will work with a small team of engineers focused on creating a robust marketplace of IoT and Telematics data for the enterprise. The individual is expected to have a wide set of skills from both data engineering, and software engineering more generally. The individual should have experience working with a wide range of data formats, and storage solutions. Data ingestion and delivery require the individual to also have experience in web development, specifically with RESTful web services. Responsibilities <ul> <li>Work with a team of engineers to make decisions about data delivery and solve problems related to data when needed. </li><li>Communicate with data vendors to design and implement data collection methods. </li><li>Develop autonomous data collection processes in a cloud environment. </li><li>Design data lake tables that provide data in an understandable format within the context of the larger business. </li><li>Work with Data Scientists to understand the ways they consume data and design data lakes and APIs to support their models and processes. </li><li>Write documentation to support development and provide information to downstream consumers of data. </li><li>Contribute to the development of internal web applications and APIs to serve data and model the IoT Lab's processes. </li></ul>Qualifications: <ul> <li>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. </li><li>Bachelors degree in Computer Science, Software Engineering, or equivalent and 3 years of relevant experience. </li><li>Python programming (3+ years) </li><li>Experience with Database and Data Lake systems </li><li>PostgreSQL, MySQL, Oracle, Dremio, Athena, etc. </li><li>Experience writing SQL queries </li><li>Specific Services: Lambda, Glue, S3, RDS </li><li>Experience with Web/API Development </li><li>RESTful web services </li></ul>Nice to have skills: <ul> <li>Experience with AWS cloud development is a plus </li><li>Experience with Tableau is a plus </li><li>GraphQL is a plus </li><li>Flask framework is a plus </li><li>Knowledge of CI/CD pipeline deployment is a plus </li><li>Experience with Javascript and React Frontend Web Development is a plus </li></ul>Competencies <ul> <li>Critical thinking skills for designing solutions to complex and sometimes ambiguous problems. </li><li>High attention to detail and forethought of issues when designing solutions </li><li>Team mindset, collaborative approach to developing solutions </li><li>Effective communication both internally and externally with vendors </li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $97,600 - $146,400 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Sr Data Engineer - GE07BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Hartford Fire Insurance Company in Hartford, CT, has the following opening for an Sr. Data Engineer.

Summary of Duties: Create and optimize data models for infrastructure and workflow. Design and develop predictive models for the group benefit line of business. Utilize latest data technologies to develop data assets that support organizational decision making via prototyping, data discovery, and profiling. Leverage data mining and business intelligence tools to analyze large amounts of data identifying relationships and patterns within the data. Partner with various parts of the organization to build a working knowledge of the organization, business, processes, and its customers. Collaborate with a high-performing, forward-focused team of product owners and business stakeholders. Solve a range of multi-dimensional technical and business questions through data analysis. Work independently and act as a resource for colleagues with less experience. Utilize expertise of data pipelines and implementation of data science/machine learning models to design and develop data pipelines for predictive model development. Architect data solutions for complex data problems. Telecommuting available.

Qualifications: Position requires a Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Electronic Engineering, Management Information Systems, Data Analytics, Applied Mathematics, or Business Analytics; plus 2 years of experience in the job offered or in a related occupation. Position requires 2 years of experience in the following: Pyspark; Python; Power BI; and Azure Tools (Azure SQL, Azure Databricks, Azure Data Factory) or equivalent AWS tools.

Employer will also accept alternate combination of education and experience: Bachelor's degree (or foreign equivalent) in an accepted field and 5 years of progressive, post baccalaureate experience in the job offered or in a related occupation. Position requires 2 years of experience in the following: Pyspark; Python; Power BI; and Azure Tools (Azure SQL, Azure Databricks, Azure Data Factory) or equivalent AWS tools.

Salary Range: $145,538 to $170,040 per year.

Contact: Apply online at https://thehartford.wd5.myworkdayjobs.com/Careers_Restricted/job/Hartford-CT/Sr-Data-Engineer_R2419052

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$145,538 - $170,040

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

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