1

Insurance Data Engineer Jobs in New Haven, CT (NOW HIRING)

Sr Data Engineer

Shelton, CT · On-site

$119K - $149K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

Woodbridge, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

Oxford, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

Prospect, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

Naugatuck, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

Trumbull, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

Bridgeport, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Engineering

New Haven, CT · On-site

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

next page

Showing results 1-20

Insurance Data Engineer information

See New Haven, CT salary details

$44.8K

$130.5K

$178.5K

How much do insurance data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for insurance data engineer in New Haven, CT is $130,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,300.00 per year, depending on experience, location, and employer.

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 New Haven, CT?

For Insurance Data Engineer jobs in New Haven, CT, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in New Haven, CT look for?

The top searched job categories for Insurance Data Engineer jobs in New Haven, CT are:

What cities near New Haven, CT are hiring for Insurance Data Engineer jobs?

Cities near New Haven, CT with the most Insurance Data Engineer job openings:

Sr Data Engineer

Shelton, CT • On-site


The Subway
Food Services and Drinking Places • 10K+ employees

4.5

Company rating: 4.5 out of 10

Based on 2,061 frontline employees who took The Breakroom Quiz

93rd of 107 rated fast food restaurants

Free food

Recommended by students

Recommended by parents


$119K - $149K/yr

Full-time

Medical, Life, Retirement

Re-posted 26 days ago


Job description

Sr Data Engineer - Shelton, CT
Ready to build what's next with one of the world's most iconic brands?
Why Join Subway?
At Subway, we are not standing still. We are building.
This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.
You will not just do the work. You will shape it.
We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.
If you bring energy, accountability and a bias for action, you will fit right in.
We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.
This is your chance to be part of what's next.
About the Role:
The Sr. Data Engineer will be responsible for the design and development of data pipelines to support System Integrations as well as data pipelines that power our Analytical Platforms. In collaboration with Product Owners and other technical teams, the Sr. Data Engineer will lead significant enterprise-wide work as part of larger cross-functional teams supporting multiple major project initiatives.
A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or Databricks along with other modern cloud-based technologies.
Responsibilities include but not limited to:
  • Design and develop data pipelines and integrations that are performant, scalable and flexible.
  • Work with project teams to deliver system integration pipelines, ensuring a high degree of reliability and resiliency.
  • Work with business users and project teams to provide SME guidance, finalize pipeline requirements and develop level of effort estimates.
  • Develop automated testing and deployments scripts to support integrations and pipelines.
  • Provide database support by coding utilities, responding to user questions, and resolving problems.
  • Create and maintains documentation of the data pipelines including data flow and data lineage documentation.
  • Responsible for tier 3 support and assisting our Operations Team as required to provide a great customer experience for our users.
  • Responsible for overall data quality as it relates to our Enterprise Data Warehouse and associated Data Marts. Provide data analysis as required to troubleshoot data issues.
  • Assist with integration related code reviews and mentorship of junior developers.
  • Implement data governance and master data management principles as part of data pipeline development and delivery.

Skills and Abilities Required
  • Lakehouse Architecture: Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or Snowflake (Iceberg Tables, Horizon Catalog).
  • Medallion Architecture: Proven ability to design Bronze/Silver/Gold layers for curated, analytics-ready data.
  • Streaming or Batch Processing: Experience implementing Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming.
  • Semantic Layer: Experience building and managing semantic models using Databricks AI/BI Genie or Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst to enable consistent, governed metrics for BI and AI consumption.
  • ETL/ELT Orchestration: Building pipelines with Airflow, Databricks Lakeflow, or Snowflake Openflow; familiarity with dbt is a plus.
  • Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.
  • Data Modeling: Dimensional modeling, Data Vault, or schema design for analytical workloads.
  • Performance Tuning: Cluster/warehouse sizing, partitioning, clustering keys, Z-ordering, or query optimization.
  • Governance & Security: Working knowledge of Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, or data quality.
  • CI/CD & DevOps: Git, Databricks Asset Bundles or Snowflake CLI/Schemachange, automated testing, or deployment pipelines.
  • Cloud Ecosystem: AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms.
  • AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use cases.
  • Collaboration: Strong communication skills to partner with Product Owners, Analysts, or cross-functional engineering teams.

What do we offer?
  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More.....

Compensation: The base pay range for this role is $119,200 - 149,000 annually
Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.


What Subway employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom