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# Lead Data Engineer

- **Company:** State Farm Insurance
- **Location:** Bloomington, IN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,592.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Unit Testing, Cloud Computing, Configuration Management, Cyber Security, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Visualization, IBM DB2, Linux, Amazon DynamoDB, Eclipse (Software), Github, Integrated Development Environments, JQuery, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, Oracle Databases, Oracle (Applications), Server Administration, Amazon Simple Notification Service (SNS), Software Engineering, Scripting, Data Storage Technologies, ReactJS, Apache Spark, Software Security, AWS Lambda, Gitlab, AngularJS, Information Technology, AWS Glue, Data Analytics, Data Management, Functional Programming, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Software Version Control, Data Pipelines, Docker, Jenkins, Amazon Redshift, Programming Languages
- **Published:** August 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-data-engineer-bloomington-il--46f45719-7d68-4c36-8b76-569b07c03683

## About the Role

Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Information Systems Security, or a closely related field of study, plus 5 years of experience in the job offered, or as a Software Developer, Associate - Projects, or similar technical architectural position. Specific experience must include: gaining enterprise data domain knowledge, including rating, underwriting, and/or claims, rapidly; working with programming languages, including Java, Python, Spark, Terraform, Angular 7, React JS, JavaScript, and jQuery; working with AWS services, including (AWS Glue, Lambda, SQS, SNS, Cloud Watch, S3, Event Bridge, RDS, EC2); working with various databases, including AWS Redshift, S3, AWS DynamoDB, DB2, Postgres, Oracle, MS SQL, and MongoDB; developing solutions on AWS Redshift and S3; working with version control, including GitHub, GitLab, Jenkins, Docker, IDE like PyCharm, STS, eclipse, vs code); learning and adopting new technologies and languages; and
using critical thinking skills to challenge current thinking and applying the right technology to solve problems. Option for hybrid work environment, allowing work from home with required travel to local office at least once per quarter. Required to live within 180 miles of local office and within the United States. Salary: $150,592/yr., AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Notification Service (SNS), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), AngularJS, Applications Security, Architectural Services, Best Practices, Cloud Computing, Coaching, Computer Science, Computer Security, Computer Systems, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, Data Analysis, Data Management, Data Science, Data Storage, Data Visualization, Database Extract Transform and Load (ETL), Docker, Eclipse IDE, Emerging Technology, Environmental Work, GitHub, Health Plan, Healthcare, IBM DB2, IDE (Integrated Development Environment), Identify Issues, Java, Jenkins, Linux Operating System, Mentoring, Microsoft SQL Server, MongoDB, Oracle Database, PostgreSQL, Problem Solving Skills, Product Design, Product Development, Programming Languages, Public Cloud, Python Programming/Scripting Language, React.js, Retirement Planning, Simple Queue Service (SQS), Software Administration,
Software Development, Software Engineering, Source Code/Configuration Management (SCM), Technical Leadership, Testing, Underwriting, Unit Test, Willing to Travel, Work From Home, jQuery

## Description

State Farm (Bloomington, IL) seeks a Lead Data Engineer to help migrate, build, and service Analytics environments with a particular concentration on cloud based environments as well as other emerging technologies and capabilities. Specific duties include: apply skills, tools, security processes, applications, environments and programming language(s) to complete complex assignments; apply advanced engineering practices to design data solutions using industry-adopted languages and frameworks; diagnose and resolve complex problems/issues; maintain advanced understanding in software engineering topics, including classes, functions, security, containers, version control, CI/CD, and unit tests; maintain advanced understanding in programming, and database and data storage functionality and apply that understanding to build reusable data solutions; maintain advanced understanding in compute environments, including but not limited to Linux, Public Cloud, and containers; maintain advanced
understanding in data engineering topics, including ETL (Extract, Transform, Load), data integration, reusable data pipelines, data management, data analytics, data visualization, and data science; maintain advanced business domain expertise for data sources and applies in recommendations, designs, and execution of data solutions; apply advanced understanding regarding data and technology trends/changes, best practices, and processes to complete assignments and influence the direction of product solutions; apply advanced understanding of product design, data design and movement and test to ensure quality outcomes; leverage an advanced understanding of the State Farm organizational structure to navigate the organization; provide mentorship, technical guidance, training, and may delegate work to others; possibly take on several simultaneous work stories or focus on a single complex story; understand, support, and help define the vision and direction for the product development; and possibly
have membership and engage with technical groups in the organization; leverage inner source best practices to encourage code discoverability and collaboration across the enterprise. Option for hybrid work environment, allowing work from home with required travel to local office at least once per quarter. Required to live within 180 miles of local office and within the United States.


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