Data Engineer

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 #J-18808-Ljbffr