*Data Engineer - Fortune 500 Utility Client* *6 Month Contract-to-Hire* *Downtown Houston, TX (Hybrid)* *$65-70/Hour on W2. * *Cannot Work C2C or 1099.* *Cannot Provide Sponsorship.* _*Business Objective: *_ Our client is scaling their analytics organization and creating specialized verticals based on business unit. They need a senior-level Data Engineer to join the group that does Analytics Enablement for these verticals who will build data sets from unstructured sources to solve business problems. Ideally, this individual will have at least 5 years' experience in a data-related role, be an expert with SQL, and have familiarity with Big Query, Google Cloud, and Python. _*To be successful in this role you will:*_ * Collaborate with business stakeholders to understand their needs and translate them into actionable insights and data-driven solutions. * Perform data analysis tasks, including data cleaning, data transformation, and data visualization, to uncover meaningful patterns and trends in large datasets. * Partner with data engineering to develop and maintain data pipelines and workflows, ensuring efficient and accurate data extraction, transformation, and loading (ETL) processes. * Apply statistical analysis techniques and machine learning algorithms to identify correlations, predict outcomes, and optimize business processes. * Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data integrity and consistency. * Conduct exploratory data analysis to discover insights and provide recommendations for improving business performance and decision-making. * Collaborate with data engineers and data scientists to identify opportunities for automation and optimization of data processes and workflows. * Monitor data quality and proactively identify and resolve data discrepancies or anomalies. * Participate in cross-functional teams to support data-related projects, providing expertise and guidance on data analysis, data management, and data visualization. * Work on business case development, project value proposition, and help with workload prioritization. * Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization. * Constant, initiative-taking pursuit of learning systems, organizational structure, processes, data sets, techniques, etc. * Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion. * Is required to review and recommend solutions to issues that involve a number of alternatives which may not be clearly defined. * Serve as a project lead or task force member on projects and/or issues having a significant impact on functional and strategic goals. * Provide guidance and training to others in the use of innovative technologies, theories, concepts, and techniques. * Operate with limited supervision, guidance, and direction from leadership and senior staff. _*Top skills:*_ * Requires a bachelors degree from an accredited college or university in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field. * Requires a minimum of five (5) years of related experience. * Strong proficiency in Data visualization software like PowerBI, Tableau, and Looker. * Strong proficiency in Cloud Computing Platforms such as GCP, Azure, and AWS. * Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google Big Query. * Strong proficiency in SQL for data querying and manipulation. * Strong in programming languages such as Python and R for data analysis and scripting. * Understanding of data modeling concepts and experience with data modeling tools. * Experience working with machine learning, statistical techniques, and algorithms. * Proficiency in ETL processes, data warehousing, and database management systems. * Excellent problem-solving and analytical skills, with diligence. * Experience interacting with employees of all levels to present technical data in a non-technical manner. * Effective communication skills, with the ability to translate complex data concepts into understandable insights for non-technical stakeholders. _*A bonus to have:*_ * Project management experience. * Utility experience. * Experience with data governance. _*Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.*_ Job Type: Contract Pay: From $65.00 per hour Expected hours: 40 per week Benefits: * Dental insurance * Health insurance * Vision insurance Schedule: * 8 hour shift * Day shift * Monday to Friday Ability to Commute: * Houston, TX 77002 (Required) Ability to Relocate: * Houston, TX 77002: Relocate before starting work (Required) Work Location: Hybrid remote in Houston, TX 77002

*Associate Data Scientist* *Indianapolis, IN* *6 month reoccurring contract* *Pay: $36.43/hr.* As the Associate Data Engineer, you will collaborate with partners and external stakeholders to collect and process data related to various issues and subjects, aiming to create data-driven solutions for complex business challenges. Responsibilities: * Extracts and processes data from the organization's databases to enhance program development, optimize marketing techniques, and refine business strategies. * Evaluates the accuracy and effectiveness of new data sources and data collection methods. * Standardizes operational procedures, reviews code, analyzes and interprets datasets, and collaborates with Git for version control. * Conducts data analysis to support evaluations and exploratory data analysis (EDA). * Independently performs exploratory data analysis to comprehend the organization's data. * Interprets results from various sources using techniques ranging from simple data aggregation to complex data mining. * Collaborates with data engineers/architects to establish and maintain data pipelines. * Works with data scientists to deploy solutions. * Maintains and debugs Azure cloud infrastructure. * Implements process changes through integrating new processes with existing ones and communicates changes to impacted Business Systems teams. * Develops meaningful data visualizations to communicate findings to the target audience. * Establishes contracts for procuring technical business solutions. * Proficient in: SQL, Python, and R. Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Informatics, or related fields. * 1 - 1.5 years of educational, internship, or professional experience in statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). * Proficient in Python, SQL, and R. * Azure Data Bricks is preferred * Working knowledge of data manipulation and insights extraction from large datasets. * Understanding of machine learning, visualization, and storytelling. * Ability to research and document findings. Job Types: Full-time, Contract Pay: $36.43 per hour Benefits: * Dental insurance * Health insurance * Vision insurance Experience level: * 1 year * 2 years * Under 1 year Schedule: * 8 hour shift * Monday to Friday Education: * Bachelor's (Required) Experience: * Data engineering: 1 year (Preferred) Work Location: In person

Fortune 2 IT ClientSenior Data EngineerExtended contract Location: Austin, TX (Preferred), or Remote (CDT Time Zone) Our Fortune 2 IT client is the largest online retailer and technology provider in the US, which is now focusing on revolutionizing the grocery shopping experience. We are seeking a talented and motivated Data Engineer to join our team, working on a high-priority/visibility product. In this role, you will play a pivotal part in optimizing and consolidating existing pipelines and contributing to the enhancement of our systems and processes. Requirements: <ul><li>7+ years of experience with design, implementation and management of data processing systems dealing with large data sets.</li><li>Proficiency in Python</li><li>Hands-on experience and advanced knowledge of SQL.</li><li>Knowledge of data management fundamentals and data storage principles.</li><li>Knowledge of distributed systems as it pertains to data storage and cloud computing</li><li>Experience working with Open-Source Big Data tools (Hadoop, Spark, Hive, Presto and etc.)</li></ul> Preferred Qualifications:<ul><li>Experience in working and delivering end-to-end projects independently.</li><li>Relevant experience in one of the following areas: Data engineering, database engineering, business intelligence, or business analytics.</li><li>Experience working with AWS Big Data Technologies (AWS Glue, EMR, Athena, Ec2, Redshift and S3 etc.)</li><li>Experience working with Oracle, PostgreSQL, SQL Server or MySQL.</li><li>Experience working with visualization tools such as Tableau and Power BI.</li><li>Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy</li><li>Experience providing technical leadership and mentoring other engineers for best practices on data engineering</li><li>Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations</li></ul> EducationBachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)

*Data Engineer - Fortune 500 Utility Client* *6 Month Contract-to-Hire* *Downtown Houston, TX (Hybrid)* *$65-70/Hour on W2. * *Cannot Work C2C or 1099.* *Cannot Provide Sponsorship.* _*Business Objective: *_ Our client is scaling their analytics organization and creating specialized verticals based on business unit. They need a senior-level Data Engineer to join the group that does Analytics Enablement for these verticals who will build data sets from unstructured sources to solve business problems. Ideally, this individual will have at least 5 years' experience in a data-related role, be an expert with SQL, and have familiarity with Big Query, Google Cloud, and Python. _*To be successful in this role you will:*_
* Collaborate with business stakeholders to understand their needs and translate them into actionable insights and data-driven solutions.
* Perform data analysis tasks, including data cleaning, data transformation, and data visualization, to uncover meaningful patterns and trends in large datasets.
* Partner with data engineering to develop and maintain data pipelines and workflows, ensuring efficient and accurate data extraction, transformation, and loading (ETL) processes.
* Apply statistical analysis techniques and machine learning algorithms to identify correlations, predict outcomes, and optimize business processes.
* Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data integrity and consistency.
* Conduct exploratory data analysis to discover insights and provide recommendations for improving business performance and decision-making.
* Collaborate with data engineers and data scientists to identify opportunities for automation and optimization of data processes and workflows.
* Monitor data quality and proactively identify and resolve data discrepancies or anomalies.
* Participate in cross-functional teams to support data-related projects, providing expertise and guidance on data analysis, data management, and data visualization.
* Work on business case development, project value proposition, and help with workload prioritization.
* Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.
* Constant, initiative-taking pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
* Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion.
* Is required to review and recommend solutions to issues that involve a number of alternatives which may not be clearly defined.
* Serve as a project lead or task force member on projects and/or issues having a significant impact on functional and strategic goals.
* Provide guidance and training to others in the use of innovative technologies, theories, concepts, and techniques.
* Operate with limited supervision, guidance, and direction from leadership and senior staff. _*Top skills:*_
* Requires a bachelor’s degree from an accredited college or university in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field.
* Requires a minimum of five (5) years of related experience.
* Strong proficiency in Data visualization software like PowerBI, Tableau, and Looker.
* Strong proficiency in Cloud Computing Platforms such as GCP, Azure, and AWS.
* Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google Big Query.
* Strong proficiency in SQL for data querying and manipulation.
* Strong in programming languages such as Python and R for data analysis and scripting.
* Understanding of data modeling concepts and experience with data modeling tools.
* Experience working with machine learning, statistical techniques, and algorithms.
* Proficiency in ETL processes, data warehousing, and database management systems.
* Excellent problem-solving and analytical skills, with diligence.
* Experience interacting with employees of all levels to present technical data in a non-technical manner.
* Effective communication skills, with the ability to translate complex data concepts into understandable insights for non-technical stakeholders. _*A bonus to have:*_
* Project management experience.
* Utility experience.
* Experience with data governance. _*Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.*_ Job Type: Contract Pay: From $65.00 per hour Expected hours: 40 per week Benefits:
* Dental insurance
* Health insurance
* Vision insurance
Schedule:
* 8 hour shift
* Day shift
* Monday to Friday Ability to Commute:
* Houston, TX 77002 (Required) Ability to Relocate:
* Houston, TX 77002: Relocate before starting work (Required) Work Location: Hybrid remote in Houston, TX 77002 #J-18808-Ljbffr

Senior Data EngineerRemote (Louisville, KY)W2 Contract to Hire/Permanent Compensation: ~$120k Our client seeks a skilled Senior Data Engineer to join the Application Health Scorecard team, pivotal in driving capacity-related initiatives to reduce technology debt across critical applications and infrastructure. By developing scorecards and dashboards, you will prioritize and manage tech debt based off consumption while collaborating closely with engineering groups spanning enterprise wide. You will optimize data querying, modeling, and ETL/ELT processes, ensuring data integrity and scalability. Your contributions will enhance operational efficiency and decision-making, supporting strategic goals through advanced analytics and future AI-driven solutions. Responsibilities:<ul><li>Develop and maintain Application Health Scorecards to prioritize critical applications based on tech debt.</li><li>Collaborate with cross-functional teams to gather tech debt data and insights.</li><li>Utilize SQL extensively for querying, data modeling, and performance optimization.</li><li>Implement ETL/ELT processes and ensure data quality and integrity.</li><li>Manage databases and data warehouses, optimizing for performance and scalability.</li><li>Work on stored procedures and scripts to automate data processes.</li></ul> Required Skills:<ul><li>Strong proficiency in SQL (Intermediate to Advanced level).</li><li>Proficiency in Python for data manipulation and automation tasks.</li><li>Experience with cloud platforms, preferably Azure; familiarity with AWS or Google Cloud is acceptable.</li><li>Solid understanding of ETL/ELT processes and data warehousing principles.</li><li>Ability to manage databases effectively, ensuring data availability and security.</li><li>Curious and strategically driven aptitude.</li></ul> Nice to Have:<ul><li>Experience with data visualization tools such as Tableau, Power BI, Qlik, or Looker.</li><li>Knowledge of AI engineering, including practical applications for data staging and cleansing.</li><li>Familiarity with ML algorithms for predictive analytics and trend analysis.</li></ul>

Data Engineer Brooksource Jobs

Data Engineer
July 24, 2024

Associate Data Engineer
July 17, 2024

Senior Data Engineer
July 14, 2024

Senior Data Engineer
July 8, 2024

Data Engineer
July 6, 2024

Data Engineer
July 2, 2024

Senior Data Engineer
June 28, 2024

Quick filters

Top companies

Data Engineer Brooksource Jobs

Data EngineerJuly 24, 2024

Associate Data EngineerJuly 17, 2024

Senior Data EngineerJuly 14, 2024

Senior Data EngineerJuly 8, 2024

Data EngineerJuly 6, 2024

Data EngineerJuly 2, 2024

Senior Data EngineerJune 28, 2024