Data Engineer - Analytics

US-IL-Bloomington

Job ID:  2024-38588
Type:  Regular Full Time
# of Openings:  3
Category:  Research and Data Analytics
Bloomington, IL

Overview

We are not just offering a job but a meaningful career! Come join our passionate team!
As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.
We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!
This is a "Hybrid" position, which means selected candidates will be assigned to a facility and will spend some time working both in office and from their home.
Office Locations:
Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; Tempe Arizona
*****Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity****
Responsibilities

P&C Actuarial and Underwriting Modeling is at the forefront of developing cutting-edge predictive models by harnessing emerging technologies and capabilities. Our focus is on creating innovative solutions that leverage the power of data. We are actively building robust data capabilities to empower our machine learning teams in constructing high-quality and efficient datasets. This enables us to accelerate the delivery of predictive models to the market.
Your contributions to our team are invaluable as we strive to enable data-driven decision-making in the cloud. You will play a crucial role in exploring new and groundbreaking services, as well as devising creative solutions. Our aim is to establish a single, seamless data retrieval ML platform, providing a streamlined experience for our data scientists.
As a member of P&C Actuarial and Underwriting Modeling, you will find yourself continually challenged and empowered to grow professionally. We strongly believe in fostering the development of each engineer to their fullest potential. Our supportive environment and focus on personal growth will enable you to excel in your role and make a significant impact on our team's success.
Qualifications

Required Skills:
Possess a strong engineering background with a keen interest in data.
Hands-on experience with AWS, demonstrating proficiency in leveraging its services.
Proficiency in object-oriented and/or functional programming languages such as Python, Java/Scala, and Terraform.
Experience working with big data technologies such as Spark and Hadoop.
Familiarity with various file formats, including csv, parquet, json, xml, and avro.
Understanding of testing strategies and frameworks.
Hands-on experience building CI/CD pipelines, preferably with GitLab.
Preferred Skills:
Understanding of machine learning lifecycle, and including the role of data at each stage.
Experience working with AWS SageMaker, Glue, EMR, Athena, RDS, Redshift, Lambdas, and IAM.
Prior exposure to property & casualty insurance data, providing you with domain knowledge.
*****Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity****
Please see job description

PI255458211

NO H1b Candidate required Job Description: Data Engineer Responsibilities<ul><li>Design, build, and maintain scalable, reliable data pipelines and systems to support data ingestion, transformation, and storage.</li><li>Develop and optimize ETL (Extract, Transform, Load) processes to handle large datasets efficiently.</li><li>Collaborate with data scientists, analysts, and software engineers to implement robust data solutions.</li><li>Implement and manage databases, data warehouses, and data lakes (e.g., Redshift, Snowflake, BigQuery).</li><li>Create and maintain data architecture documentation and workflows.</li><li>Monitor and troubleshoot performance and data-related issues.</li><li>Ensure data quality and governance by implementing validation mechanisms and compliance standards.</li><li>Work with cloud-based platforms (AWS, Azure, GCP) for data processing and storage.</li><li>Drive continuous improvement in data engineering practices and processes.</li></ul>QualificationsRequired Skills<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).</li><li>3+ years of experience as a Data Engineer or in a similar role.</li><li>Strong experience with SQL and relational databases.</li><li>Proficiency in programming languages such as Python, Java, or Scala.</li><li>Experience building and optimizing ETL pipelines and workflows.</li><li>Familiarity with big data technologies like Hadoop, Spark, or Kafka.</li><li>Knowledge of cloud-based data services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).</li><li>Strong understanding of data modeling, data warehousing, and data lakes.</li><li>Hands-on experience with data visualization tools (e.g., Tableau, Power BI).</li></ul>Preferred Skills<ul><li>Experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Familiarity with real-time data processing.</li><li>Experience with CI/CD pipelines for data engineering.</li><li>Knowledge of data governance and compliance (e.g., GDPR, CCPA).</li><li>Certification in cloud technologies like AWS Certified Data Analytics, Azure Data Engineer, or GCP Data Engineer.</li></ul>

SENIOR DATA ENGINEER $120,000 - $160,000 + BENEFITS GREATER PHOENIX AREA (ONSITE 5 DAYS A WEEK) COMPANY OVERVIEWJoin an innovative investment firm that’s combining traditional financial research with cutting-edge machine learning to enhance decision-making. They're a dynamic team passionate about technology, data, and driving success through smart analytics. THE ROLEAs a Data Engineer, you’ll be at the forefront of managing and optimizing the firm’s data architecture to support its machine learning pipelines and financial analysis. You’ll take ownership of building and optimizing ETL pipelines, integrating new data sets, and ensuring high performance for both on-premise and cloud systems. In this high-impact, hands-on role, you’ll also partner on machine learning projects and ensure best practices in data governance and security. ROLE RESPONSIBILITIES<ul><li>Database Management: Oversee database architecture, permissions, and security, ensuring systems are optimized and secure.</li><li>ETL Pipelines: Build and optimize ETL pipelines, integrating new data sets to support machine learning initiatives.</li><li>dbt & SQLmesh: Migrate existing processes to dbt and/or SQLmesh to modernize and streamline data transformations.</li><li>Change Data Capture (CDC): Implement and optimize CDC for high-priority tasks.</li><li>Data Governance: Ensure adherence to best practices in data governance and secure data access management.</li><li>Collaboration on ML Projects: Partner with other firms and internal teams on machine learning initiatives, adapting projects as needed.</li></ul> SKILLS & EXPERIENCE<ul><li>3+ years of hands-on experience with Python and PostgreSQL.</li><li>Expertise in building and optimizing ETL pipelines.</li><li>Strong understanding of database architecture, performance tuning, and security best practices.</li><li>Proficiency with dbt, SQLmesh, or similar data transformation tools.</li><li>Experience with Change Data Capture (CDC) and/or NoSQL databases like Cassandra is a plus.</li><li>A background in finance or economics is a bonus but not required.</li></ul> BENEFITS<ul><li>Competitive Salary: $130,000 - $160,000 base + comprehensive benefits package.</li><li>Professional Growth: Opportunities for advancement and participation in cutting-edge projects.</li><li>Collaborative Team: Join a passionate, innovation-driven environment.</li></ul> If you're ready to leverage your technical expertise in Python and PostgreSQL while contributing to machine learning advancements, we’d love to hear from you!

Position- Data Engineer /Data tester (either jr. Data Tester or Jr. Data engineer both will work Azure exp is must to have) Duration-Contract w2 Location- Tempe, AZ JD Minimum Qualifications- Education & Prior Job Experience <ul> <li> Bachelor's degree in Computer Science, Information Systems, Engineering, Technology, or related field or equivalent experience/training </li> <li> 2 years of relevant system development experience </li> <li> 2 years of experience working with automated testing, testable requirements, and continuous integration </li> <li> 2 years of experience working in an Agile environment </li> </ul> Preferred Qualifications- Education & Prior Job Experience <ul> <li> 5 years of relevant system development experience </li> <li> 5 years of experience working in an Agile environment </li> <li> Airline industry experience </li> </ul> Skills, Licenses & Certifications <ul> <li> Knowledge of systems flows, engineering documentation, tools, and architecture concepts </li> <li> Understanding of business systems and industry requirements, and full technical knowledge of systems analysis </li> <li> Understands automated testing, testable requirements, and continuous integration Knowledge of relational databases, SQL, HTML, Java Script, C#, and Python preferred </li> <li> Ability to work closely with developers and quality assurance teams to create doman models, sequence diagrams, use case diagrams, and operation contracts </li> <li> Experience with application administration, systems support, or development preferred </li> <li> Experience managing user stories within an Agile software development process </li> <li> Experience defining unstructured situations in terms of results and establishing a plan to reach them </li> <li> Ability to adapt to unexpected events, new facts, and rapidly changing circumstances </li> <li> Ability to thrive in a sense-of-urgency environment and leverage best practices, with a can-do attitude </li> <li> Proficient in MS Office applications </li> <li> Proficient in technical documentation </li> </ul> Regards, Pallavi Verma Sr. Technical Recruiter | Syntricate Technologies Inc. Direct : 781-552-4333 | Fax: 781-649-0786 Email : pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com We're hiring! connect with us on LinkedIn nd visit our Jobs Portal Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .

About Carvana... If you like disrupting the norm and are looking for a company revolutionizing an industry then you will LOVE what Carvana has done for the car buying experience. Buying a car the old fashioned way sucks and we are working hard to make it NOT suck. At Carvana, our customers can hop online to... <ul><li>Search and browse our inventory of over 20,000 vehicles that we own and certify.</li><li>Narrow down search results using highly intelligent filtering tools/components.</li><li>View vehicle details, Carfax reports, and 360 rotating studio images for every vehicle.</li><li>Secure financing in minutes using Carvana's in-house service or their own bank.</li><li>Interact with GUI components to easily customize loan length, down payment, and monthly payment.</li><li>Generate, upload, and eSign all documents online (no ink necessary).</li><li>Schedule front door delivery or pick up at one of our vending machines.</li><li>Trade-in their existing vehicle or just sell it to Carvana (no purchase necessary).</li></ul> We've been changing the game since 2013, and we're not taking our foot off the gas now. Here are a few of our stories! THIS IS A 100% ON-SITE POSITION (Monday through Friday). About the team and position In today's world, data is king and this is the team with all the data. If you're excited about understanding complex data sets from disparate sources, this is the team for you. Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users' lives better. Our Data Engineering team is the bouncer of Carvana's data - and we have no qualms about tossing out the riff-raff. Our team partners with various internal stakeholders - from marketing to data science to engineering - to help Carvana become a strong, data-driven company. What you'll be doing As a Lead Data Engineer, you will play a pivotal role in bridging the gap between our system infrastructure and data strategy. You'll have the opportunity to learn, innovate, and grow alongside a highly skilled and supportive team on projects that will help shape Carvana's future. Your responsibilities will include: <ul><li>Using cutting-edge technologies such as Python, Databricks, and Cloud platforms to build robust data pipelines that transform raw data into meaningful and actionable insights.</li><li>Managing and transforming structured and semi-structured data across multiple data platforms including SQL Server, AWS S3, Databricks Delta Tables, and Snowflake.</li><li>Developing a deep understanding of data flows in our systems to contribute to problem-solving, ensure data integrity, and optimize the performance of data stores and ETL processes.</li><li>Architecting, designing, and prototyping data solutions to support business strategies and deliver significant business value.</li><li>Engaging with cross-functional project teams involving data scientists, product engineers, and analysts to achieve common objectives.</li><li>Working closely with Product and Analytics leaders to define business intelligence needs and translate them into technical requirements.</li><li>Orchestrate and implement efficient processes and tasks for integrating large, diverse datasets from various sources.</li></ul> What you should have <ul><li>Extensive experience with SQL and at least one programming language such as Python, R, or Scala for data processing tasks</li><li>A solid understanding of data integration concepts, data modeling, business intelligence, data warehousing, big data handling techniques, and cloud-based data solutions.</li><li>Enthusiasm for performance tuning, process optimization, and continuous improvement (who doesn't love efficiency!).</li><li>A forward-thinking mindset with the ability to anticipate how future company evolution may impact today's processes.</li><li>Intellectual curiosity and eagerness to learn new subject areas/technologies. Unafraid of diving into unknown territories with a strong desire to grow through challenging work and exposure to new technologies.</li><li>Self starter and a commitment to staying updated with industry best practices and emerging technologies.</li><li>Excellent cross team communication skills</li></ul> What we'd love you to have (Nice-to-haves) <ul><li>Proficiency in working with Snowflake Data Warehouse is a definite plus. Your experience with this cloud-based platform will be invaluable for our data management and analytics strategies.</li><li>Familiarity with data visualization tools like Tableau or Sigma.</li><li>Experience working in Agile/Scrum/Kanban Jira environments.</li><li>Skilled in AI, Chat GPT, Copilot tools, and prompt engineering techniques to understand complex development processes and facilitate innovative problem-solving strategies.</li></ul> What we'll offer in return... <ul><li>Full-Time Salary Position with a competitive salary.</li><li>Medical, Dental, and Vision benefits.</li><li>401K with company match.</li><li>A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.</li><li>A great wellness program to keep you healthy and happy both physically and mentally.</li><li>Access to opportunities to expand your skill set and share your knowledge with others across the organization.</li><li>A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development.</li></ul> Legal Stuff... Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

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Data Engineer Jobs in Tempe, AZ

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