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Insurance Data Engineer Jobs in Minnesota (NOW HIRING)

Icario

$119K - $143K/yr

We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology ... Optional FSA, HSA, Pet insurance, Disability, Vision, and more * Equal paternity and maternity ...

Thrivent

Staff Engineer

Minneapolis, MN · On-site

$173K/yr

Ensure that data pipelines are scalable, reliable, and performant, and that they adhere to data ... vision insurance; health savings account; flexible spending account; 401k; pension; life and ...

Thrivent Financial

Staff Engineer

Minneapolis, MN · On-site +1

$173K/yr

Ensure that data pipelines are scalable, reliable, and performant, and that they adhere to data ... vision insurance; health savings account; flexible spending account; 401k; pension; life and ...

Thrivent Financial

Senior Engineer

Minneapolis, MN · On-site +1

$157K/yr

Use data to measure progress; * Promote and expand on the use of the CI/CD pipeline to improve the ... vision insurance; health savings account; flexible spending account; 401k; pension; life and ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Minnesota

Insurance Data Engineer information

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Minnesota?

For Insurance Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Minnesota look for?

The top searched job categories for Insurance Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Insurance Data Engineer jobs?

Cities in Minnesota with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Senior Engineer

Tata Consultancy Service Limited

Minnesota City, MN • On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Data Engineer / Architect for RMN Identity Spine
Must Have Technical/Functional Skills
Senior data engineering talent to support the extension of its existing first-party customer ID spine into an
identity spine for Retail Media Network use cases. This role will work across customer identity,
ad network IDs, partner IDs, clean room integrations, exposure logs, audience activation and measurement
use cases.
Roles & Responsibilities
• Design and build data pipelines and models connecting first-party customer IDs with ad ecosystem identifiers.
• Support integrations with partner IDs and platforms such as Google, Meta, LiveRamp, UID2, clean rooms and third-party data providers.
• Build identity linkage layers for audience activation, personalization, direct partner matching and measurement.
• Ingest and structure exposure logs for campaign measurement, attribution and incrementality use cases.
• Apply consent, privacy, governance and data minimization rules across identity workflows.
• Partner with BBY product, data, privacy, engineering, media and decision science teams.
• Experience with customer identity, CDP, MDM, CRM, audience or identity graph use cases.
• Familiarity with ad tech identifiers, media platform IDs, hashed emails, clean room matching or partner identity resolution.
• Strong data engineering experience on GCP, especially BigQuery.
• Advanced SQL and data modeling.
• Experience building data assets for activation, measurement or attribution.
• Ability to operate independently with senior stakeholders.
Generic Managerial Skills, If any
• LiveRamp, UID2, Google PAIR, Meta, Google Ads / DV360 / CM360, clean rooms.
• Snowflake, AWS Clean Rooms, Epsilon, Acxiom or similar data partnerships.
Retail media, ecommerce, media measurement or MTA experience.
Education
B.Tech or 4-year college / university degree with a relevant post-graduate qualification from premier institution
TCS Employee Benefits Summary
• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110000 - 130000 a year
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