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Data Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Talener
Full Time position
Listed on 2026-04-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 50 - 55 USD Hourly USD 50.00 55.00 HOUR
Job Description & How to Apply Below

Location: Boston, MA (Hybrid - 1-2 days onsite)

Compensation: $50-55/hr Contract-to-Hire

We are partnering with a well‑established, financially stable organization in the insurance space that is undergoing a major data transformation initiative. The team is in the process of migrating to a modern cloud‑based data warehouse and is seeking a Data/Software Engineer to support this high‑impact effort.

This is a contract‑to‑hire opportunity, beginning with a 3‑month contract and converting to a full‑time role.

What You’ll Be Working On
  • Support the migration to a new Snowflake‑based data warehouse (target go‑live: September)
  • Assist in building and maintaining modern data pipelines and warehouse architecture
  • Work with ETL tools to extract and transform data from various systems
  • Support and optimize data workflows using SQL‑based transformations
  • Collaborate with a small, agile team across data and legacy systems
  • Contribute to ongoing data infrastructure improvements and reporting capabilities
Key Responsibilities
  • Develop and maintain ETL pipelines using tools like Fivetran and DBT
  • Write and optimize SQL queries for data transformation and analysis
  • Support Snowflake data warehouse performance, structure, and integrations
  • Partner with internal stakeholders to ensure data reliability and accessibility
Required Qualifications
  • 1-2 years of professional experience (or strong internship/co‑op experience)
  • Hands‑on experience with Snowflake
  • Strong SQL skills (critical requirement)
  • Experience working with ETL/data pipeline concepts
Preferred Qualifications
  • Experience with Fivetran and/or DBT
  • Exposure to Python (or willingness to learn)
  • Familiarity with Power BI or similar BI tools
  • Small, collaborative team (4 members) with a mix of senior and junior engineers
  • Exposure to both legacy systems and modern data architecture
  • Opportunity to make a direct impact on a high‑visibility data migration project
Additional Notes
  • Open to recent graduates (May grads welcome) with strong internship or co‑op experience
  • Ideal candidates may come from programs with strong data/engineering focus
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