Symetra
Posted 67 days agoVerified live 1d ago
Analytics Engineer, AI Enablement (Remote)
Brief overview
Remote
$97k–$161k/yrStated range
23 H-1B approvalsDept. of Labor
3 green cardsCertified filings
SQLPythonData pipelinesStructured data integrationUnstructured data integrationCloud data infrastructureObject storageData lakesDagsterAirflowPrefect
About the company
Symetrasymetra.com
Symetra is a financial service company that provides retirement, employee benefits, group life, and disability insurance.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.23H-1B approved
96%approval rate
5new H-1B hires
3PERM certified
$112,507median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20236
20249
20256
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20241
20253
20261
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20251
Top sponsored roles
Software Engineer IISenior Software Engineer IActuarial Associate IIISenior Analytics EngineerSenior Software Engineer
Sponsored employees from
ChinaIndia
Job description
Summary
Symetra is a national financial services company dedicated to helping people achieve their financial goals. As an Analytics Engineer, you'll help build the data platform for AI products, focusing on creating reliable datasets and integrating various data sources.
Responsibilities
- Build and maintain the pipelines and datasets that feed our AI products
- Help store and serve the data our AI applications need, including documents and other unstructured data
- Solve data integration problems across structured and unstructured sources
- Keep our data clean, reliable, and well-documented for the people and products that depend on it
- Work closely with the software engineers, building our AI products and follow engineering best practices
Skills
- An early-career analytics or data engineer who builds clean, reliable pipelines and datasets
- Strong SQL and Python for data work
- Experience building data pipelines and integrating structured and unstructured data
- Comfortable with cloud data infrastructure
- Use AI coding agents effectively in your day-to-day work, with the judgment to know when to use them and when not to
- Working with documents and unstructured data (object storage, data lakes)
- Preparing data for LLM-powered applications (RAG, embeddings)
- Orchestration with Dagster (or Airflow, Prefect, etc.)
Qualifications
Must Haves
- An early-career analytics or data engineer who builds clean, reliable pipelines and datasets
- Strong SQL and Python for data work
- Experience building data pipelines and integrating structured and unstructured data
- Comfortable with cloud data infrastructure
- Use AI coding agents effectively in your day-to-day work, with the judgment to know when to use them and when not to
Nice to Haves
- Working with documents and unstructured data (object storage, data lakes)
- Preparing data for LLM-powered applications (RAG, embeddings)
- Orchestration with Dagster (or Airflow, Prefect, etc.)
Benefits
- Flexible full-time or hybrid telecommuting arrangements
- Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6%
- Paid time away including vacation and sick time, flex days and ten paid holidays
- Give back to your community and double your impact through our company matching
