Data Engineer - Global Operations & Analytics

Goodwin Procter Boston; Boston (MA); Sur place; USD 93 000 - 140 000; Plein temps

Avantages offerts par ce poste

Health, dental, and vision insurance

Life and disability insurance

Retirement & Savings Plan

Paid vacation, sick time off, and holi

Professional development and career

Employee discounts and perks

Employee wellness and assistance

Employee recognition and reward

Résumé du poste

Goodwin Procter Boston is seeking a Data Engineer to join the GO Team, helping power analytics and decision-making across the firm and its clients. You will build robust data pipelines, collaborate with data scientists and product owners, and support data modernization efforts.

The role emphasizes SQL and Python skills, cloud platforms like Snowflake or BigQuery, and governance practices, with opportunities to advance in a globally connected, merit‑driven environment.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 2+ years in data engineering or related role.
• Strong SQL and Python experience.
• Experience with cloud data platforms (Snowflake/Databricks/BigQuery/Redshift).

Responsabilités

• Build, test, and maintain data pipelines and data models.
• Support ETL/ELT processes ensuring data accuracy and timeliness.
• Collaborate on data governance and reusable, testable code.
• Document pipelines, schemas, and processes for knowledge sharing.

Connaissances

SQL

Python

Data pipelines

Data governance

Git

Agile methodology

Problem solving

Formation

Bachelor's degree in Computer Science or a related field

Outils

dbt

Airflow

Snowflake

Databricks

BigQuery

Redshift

Description du poste

Goodwin Procter Boston is seeking a Data Engineer to join the GO Team, helping power analytics and decision-making across the firm and its clients. You will build robust data pipelines, collaborate with data scientists and product owners, and support data modernization efforts.

The role emphasizes SQL and Python skills, cloud platforms like Snowflake or BigQuery, and governance practices, with opportunities to advance in a globally connected, merit‑driven environment.