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Insurance Data Engineer Jobs in New York (NOW HIRING)

Lead Sales Engineer (Remote)

Brooklyn, NY ยท On-site +1

$160K - $180K/yr

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Experience selling into regulated industries - financial services, pharma, energy, insurance * Data ...

Lead Sales Engineer (Remote)

Brooklyn, NY ยท Remote

$160K - $180K/yr

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Experience selling into regulated industries - financial services, pharma, energy, insurance * Data ...

Data Engineer

New York, NY ยท On-site

$180K - $250K/yr

THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This ... insurance for employee and dependents * Flexible PTO policy including company wide Winter Break ...

Data Engineer

Jersey City, NJ ยท On-site

$55 - $60/hr

Data Governance. Qualification And Education: * Bachelor's degree in Computer Science, Engineering ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Data Engineer

Paramus, NJ ยท On-site

$169K - $175K/yr

Position Purpose: The Data Engineer is responsible for designing, building, and maintaining ... insurance, savings accounts, tuition reimbursement, paid volunteering and more. In addition ...

Lead Sales Engineer (Remote)

Brooklyn, NY ยท On-site

$160K - $180K/yr

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Experience selling into regulated industries - financial services, pharma, energy, insurance * Data ...

Data Modeler

Manhattan, NY ยท On-site

$110K - $125K/yr

... insurance data domains, experience with Erwin Data Modeler, and familiarity with industry data standards such as ACORD. You'll collaborate closely with data engineers, analysts, and business ...

Data Engineer

Paramus, NJ ยท On-site

$169K - $175K/yr

Position Purpose: The Data Engineer is responsible for designing, building, and maintaining ... insurance, savings accounts, tuition reimbursement, paid volunteering and more. In addition ...

Data Engineer

Paramus, NJ ยท On-site

$169K - $175K/yr

Position Purpose: The Data Engineer is responsible for designing, building, and maintaining ... insurance, savings accounts, tuition reimbursement, paid volunteering and more. In addition ...

Data Modeler

Manhattan, NY ยท On-site

$110K - $125K/yr

... insurance data domains, experience with Erwin Data Modeler, and familiarity with industry data standards such as ACORD. You'll collaborate closely with data engineers, analysts, and business ...

Data Engineer

New York, NY ยท On-site +1

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal ... insurance and disability, paid time off, paid holidays, family planning benefits and various ...

Data Engineer

New York, NY ยท On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and ... Health, dental, and vision insurance - day 1! * 401(k) savings and investment plan options with 4% ...

Data Engineer

New York, NY ยท On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and ... Health, dental, and vision insurance - day 1! * 401(k) savings and investment plan options with 4% ...

Data Engineer

New York, NY ยท On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program ...

Data Engineer

New York, NY ยท On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program ...

Scientific Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Uncountable is seeking recent graduates interested in a career in data engineering to help manage ... Insurance 401K with Employer Contribution 17 days PTO annually What's next? Learn more about ...

Showing results 41-60

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.

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.

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

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

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

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

What cities in New York are hiring for Insurance Data Engineer jobs?

Cities in New York with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Lead Sales Engineer (Remote)

Soda Data

Brooklyn, NY โ€ข On-site, Remote

$160K - $180K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Job description

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals and to bring up the SEs behind you. Direct line to the CRO, Director of Customer Engineering, and product team - no layers.
Who this is this for
Sales Engineers who've already done the job well and want more than another quota to support. You've owned the technical win on enterprise deals, and you're already the person junior SEs come to after a demo went sideways.
If you want a big-company SE org with an enablement team, this isn't it. If you want the hardest deals and the machine that makes everyone else better at them, this is it.
What you'll do
  • Own the technical win on our largest enterprise deals - first technical call through architecture review, security review, PoC, and closed-won
  • Scope PoCs against the customer's stated success criteria, and hold the scope so evaluations actually finish
  • Own technical and security responses on RFPs, including SOC 2 and infosec questions from regulated buyers
  • Ramp new US SEs - their onboarding, their first demos, and the call on when they're ready to go solo
  • Coach demos and run technical deal reviews. Tell people what didn't land and why
  • Build the reusable stuff - demo environments, PoC templates, competitive positioning

Hiring process
  1. Phone screen interview - 15 minute call with a founder
  2. Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
  3. Deep dive interview - one deal you won, one you lost, and scoping a PoC from a short scenario
  4. Culture fit with the team

What you might not love
  • Priorities move. Expansion phase, a lot of work, not a lot of process.
  • No enablement team. If the PoC template doesn't exist, you write it.

Requirements
Must have
  • 6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K+ ACV, multiple stakeholders, three-month-plus cycles
  • You've developed other SEs - onboarding, demo coaching, or mentoring. Tell us who you brought up and what you actually did
  • Fluent in Python and SQL - you can read, write, and debug both in front of a customer
  • Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a CDO in the same conversation
  • You give feedback that lands - specific, about the work and not the person. You'd rather have the awkward conversation this week than the same one in three months
  • Builder mentality, humble, high-horsepower - you write docs without being asked, you'd rather automate a task than repeat it, and you'd rather learn what you're missing than bluff it
  • Based in the US

Nice to have
  • Experience selling data quality, governance, or observability tools
  • Experience selling into regulated industries - financial services, pharma, energy, insurance
  • Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
  • Interest in growing into a management track

Benefits
  • Base salary: $160,000-$180,000
  • Equity - everyone full-time at Soda is a shareholder
  • Location: Remote (US-based)
  • Benefits: PTO, 401k, medical insurance