1

Insurance Data Engineer Jobs in Minnesota (NOW HIRING)

Senior Data Engineer

Excelsior, MN

$118K - $161K/yr

... data analytics systems. * Proficiency in programming languages like Python. * Proficiency ... We offer two high quality, low deductible health insurance plans to choose from and pay 100% of the ...

Senior Data Engineer

Excelsior, MN · On-site

$125K - $140K/yr

... data analytics systems. * Proficiency in programming languages like Python. * Proficiency ... We offer two high quality, low deductible health insurance plans to choose from and pay 100% of the ...

Genesis10 is currently seeking a Data Engineer II for a Hybrid position with a Leading Consumer ... Voluntary Term Life Insurance * 401K * Sick Pay (for applicable states/municipalities) * Commuter ...

Databricks Data Engineer

Minneapolis, MN · On-site

$68K - $111K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... Airflow Kubernetes /Snowflake AI/ML (model deployments) Preferred Skill and Experience Data ...

$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 ...

next page

Showing results 1-20

Insurance Data Engineer information

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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:

Senior Data Engineer

Sagiliti

Excelsior, MN

$118K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Salary: 125,000-140,000 per year

We cannot consider any candidates who are not US citizens or green card holders/DACA recipients



AtSagiliti, we are a diverse team of sustainability stewards that turn utility data into environmental action that positively impacts people, planet and profit on behalf of our clients. From Fortune 500 companies to affordable housing developers, Sagiliti helps our clients lower their carbon footprint and save money. A short video about Sagiliti: https://vimeo.com/720402911

Our employees describe our culture as flexible, inclusive, caring, innovative, and impactful. We have a wide range of backgrounds but share a common desire to solve problems and exceed client expectations while working to address environmental issues. Sagiliti was named a 2022, 2023, and 2024 Star Tribune Top Workplace National Standard Setter. Top Workplaces recognizes the most progressive companies in Minnesota based on employee opinions measuring engagement, organizational health and satisfaction.

We are looking for a leader with heavy data experience who can shape our tech strategies for growth and transformation. An experienced professional to define the data repositories and structures to build new products on all of the data we accumulate and envision new products and strategies in data sets. This person will play a key role in Sagiliti's growth, expanding our service offerings supporting our clients in achieving resource efficiency that encourages both profitability and corporate responsibility.


We have a strong preference towards candidates located in Minnesota, but will only consider candidates in MN, TX, CO, IA, or FL.


What you'll
be responsible for:

  • Leads enterprise data architecture, external integration, modeling, aggregation, transformation, analytics, and governance
  • Provides input to the product roadmap, ensuring alignment of our product data strategy to business strategy
  • Helps define and drive new products based on existing or new data sets
  • Supports technology mentoring to staff and may act as a team lead
  • Migrates legacy systems to new models for growth


What you'll need to have:

  • A minimum of 7 years of experience in a technical field such as a developer, programmer, or technical business analyst
  • Extensive hands on experience with Python
  • Extensive hands on experience with SQL
  • Experience with disparate and diverse data schemas, mapping, normalization and transformation of databases, data modeling, and database development standards.
  • Experience with technologies like DBT, Melano, Airflow, ADF, Databricks and other relevant tools.
  • Experience with tools and ecosystems to process and manage data warehouseon Azure.
  • Excellent problem-solving and analytical skills.
  • Excellent listening, interpersonal, communication and problem-solving skills.
  • Experience with data governance and security best practices.
  • Proficiency in database technologies (i.e. PostgreSQL, Azure ADSL Gen2).
  • Proficiency implementing and managing data warehouses and data analytics systems.
  • Proficiency in programming languages like Python.
  • Proficiency implementing machine learning models, especially data tagging and labeling.
  • Experience working with cloud infrastructure services with Microsoft Azure is preferred but not required.
  • Experienced leveraging APIs to push and pull data from various data systems and platforms.
  • Team leader experience a plus

Benefits: Sagiliti offers a range of benefits to full time employees to promote wellness and balance. We offer two high quality, low deductible health insurance plans to choose from and pay 100% of the premium for you and your dependents. We also offer a 401k plan, dental, vision, life, and short-term disability insurance. Along with tremendous flexibility, we provide 15 days of PTO, 9 holidays, volunteer PTO, paid time off for other important reasons, company sponsored wellness activities, and professional development assistance.


EQUAL OPPORTUNITY EMPLOYER/ Sagiliti is an equal opportunity employer and does not discriminate against any employee or job applicant on the basis of race, color, creed, religion, national origin, ancestry, sex, sexual orientation, gender identity or expression, disability, age, marital status, genetics, status with regard to public assistance, veteran status, familial status or any other characteristic protected by federal, state or local laws.