Data Ops Engineer Intern

SageSure Insurance Managers LLC

Jersey City (NJ)

On-site

USD 28,000 - 41,000

Full time

8 days ago

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Job summary

SageSure Insurance Managers LLC in Jersey City, NJ is offering a DataOps Engineer Intern position in our Rising Pioneer Program for a 10-week timeframe. You’ll update and validate data queries, compare results, and support documentation to improve actuarial data workflows.

The role is ideal for a student pursuing CS, data science, statistics or actuarial science, with SQL experience and exposure to R or Python, strong analytical skills, and the ability to communicate with both technical and

Qualifications

  • Coursework or project experience using SQL.
  • Exposure to R or Python or another data analysis tool.
  • Strong analytical, problem-solving, and reasoning skills.

Responsibilities

  • Learn how actuarial data is gathered, prepared, validated, and used to support business decisions.
  • Assist with rewriting, updating, and testing existing SQL queries as data sources and platforms evolve.
  • Compare results from updated queries to prior outputs and help identify differences in counts, premiums, exposures, losses, or other key measures.
  • Support basic data quality checks, including missing values, duplicate records, unexpected results, and changes over time.
  • Document data sources, business rules, query logic, and recurring processes in a clear and organized way.
  • Partner with actuaries, data scientists, and data professionals on ad hoc projects and process improvements.
  • Receive coaching, mentoring, and feedback while building practical technical and business communication skills.

Skills

SQL
R
Python
Data analysis
Communication
Teamwork

Education

Undergraduate or graduate degree in a quantitative field (CS/Data Science/Statistics/Actuarial Science/Math/IS/Engineering)

Job description

Overview:

If you’re looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a DataOps Engineer Intern to join our Rising Pioneer Program and support the Product Development team. Over the course of this 10-week program, interns will gain hands‑on experience, learn from knowledgeable professionals, and contribute to projects that support real business needs.

In this role, you will help update and validate data queries, compare results between legacy and updated processes, and assist with documentation that makes actuarial data workflows easier to understand and maintain.

This internship is a good fit for a student interested in data, analytics, insurance, or technology who is eager to learn, detail-oriented, and comfortable working with business and technical partners.

What you’d be doing:
  • Learn how actuarial data is gathered, prepared, validated, and used to support business decisions.
  • Assist with rewriting, updating, and testing existing SQL queries as data sources and platforms evolve.
  • Compare results from updated queries to prior outputs and help identify differences in counts, premiums, exposures, losses, or other key measures.
  • Support basic data quality checks, including missing values, duplicate records, unexpected results, and changes over time.
  • Document data sources, business rules, query logic, and recurring processes in a clear and organized way.
  • Partner with actuaries, data scientists, and data professionals on ad hoc projects and process improvements.
  • Receive coaching, mentoring, and feedback while building practical technical and business communication skills.
We’re looking for someone who has:
  • Currently enrolled in an undergraduate or graduate degree program in Computer Science, Data Science, Statistics, Actuarial Science, Mathematics, Information Systems, Engineering, or a related quantitative field.
  • An anticipated graduation date in 2027 or 2028.
  • Coursework or project experience using SQL.
  • Exposure to R, Python, or another data analysis tool.
  • Strong analytical, problem‑solving, and reasoning skills.
  • Strong attention to detail and a willingness to ask questions when results do not look right.
  • Ability to communicate clearly with technical and non-technical partners.
  • Ability to work independently and as part of a team.
  • Authorization to work in the United States.
Highly preferred candidates also have:
  • Prior internship, class project, or work experience involving data, analytics, reporting, or databases.
  • GPA of 3.0 or higher.
  • Familiarity with relational databases or data quality concepts.
  • Interest in property and casualty insurance, actuarial analytics, finance, risk analytics, or data operations.
  • Exposure to Git, cloud data platforms, or modern data warehouse environments.
About SageSure:

Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.

We have more than 1,000 employees in a distributed workforce environment across 12 offices—Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.

SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.

Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets.

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