Data Engineer

goodwinprocter; Boston (MA); On-site; USD 93,000 - 140,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Life and disability insurance

Retirement & Savings Plan

Paid vacation, sick time off, and holi

Employee discounts and perks

Job summary

Goodwin Procter seeks a data engineer to build and maintain data pipelines and models across source systems, warehouses, and analytics platforms. You will ensure data accuracy, timeliness, and reliability while collaborating with engineers and product owners on governance.

You will work within the Global Operations Team to implement testable code, proper error handling, and rerunnable jobs with monitoring. 2+ years in data engineering and strong SQL are required.

Qualifications

• Bachelor's degree in CS or related field preferred.
• 2+ years in data engineering or related role.
• Strong SQL skills with complex queries.
• Experience with Python for data engineering tasks.

Responsibilities

• Build, test, and maintain data pipelines and data models across source systems, warehouses, and analytics platforms.
• Support ETL/ELT processes ensuring data accuracy, timeliness, and reliability; troubleshoot data quality issues.
• Collaborate with data engineers and product owners to implement data governance practices and monitor rerunnable jobs.
• Contribute to documentation of data pipelines, schemas, and processes for team knowledge-sharing.
• Participate in Agile ceremonies and use Git for all code changes.

Skills

SQL

Python

Cloud data platforms

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

dbt

Airflow

Git

Job description

Join Goodwin's Global Operations Team, and make a real impact on a global scale. At Goodwin, we work with some of the world's most successful and innovative investors, entrepreneurs and disruptors in the life sciences, private equity, real estate, technology and financial industries, and where they converge. As part of the Global Operations Team - all business professionals at the firm - you'll collaborate with colleagues from varied backgrounds and experiences, fostering an environment where cross-functional learning, networking, and collaboration are at the core of what we do.

Here, we're not just supporting a law firm; we're partnering with attorneys and clients to deliver cutting-edge solutions in high-stakes litigation and dispute resolution, world-class regulatory compliance and advisory services, and complex transactions. Our commitment to integrity, ingenuity, agility, and ambition drives us, and we're proud to have been recognised as the "Best Business Team" by The American Lawyer.

This is your opportunity to grow professionally in a dynamic, global environment, surrounded by forward-thinking peers.

What You Will Do:

• Build, test, and maintain data pipelines and data models using orchestration and transformation tools to move and transform data across source systems, warehouses, and analytics platforms.
• Support the development and maintenance of ETL/ELT processes, ensuring data is accurate, timely, and reliable; troubleshoot and resolve data quality issues as they arise.
• Collaborate with data engineers and product owners to implement data governance practices: testable code, proper error handling, and rerunnable jobs with monitoring/observability in place.
• Contribute to documentation of data pipelines, schemas, and processes to support team knowledge-sharing.
• Participate in Agile ceremonies (sprint planning, stand-ups, retros) and use Git for all code changes.

Who You Are:

• Bachelor's degree in Computer Science or a related field is preferred.
• 2+ years of experience in a data engineering or related technical role.
• Strong SQL skills, including joins, aggregations, CTEs, and window functions.
• Experience with Python for data engineering, scripting, or automation tasks.
• Hands-on experience with at least one cloud data platform (e.g., Snowflake, Databricks, BigQuery, or Redshift).
• Understanding of core data modeling concepts (fact tables, dimension tables, schema design).
• Experience using Git or similar tools for source control.
• Strong problem-solving skills and attention to data accuracy and detail.
• Ability to work both independently and collaboratively across teams.
• Exposure to law firm application databases such as Aderant Expert, Foundation, or iManage a plus
• Familiarity with ETL/ELT tools such as dbt, Airflow or similar transformation /orchestration frameworks
• Familiarity with AI/LLM technologies as applied to data engineering.

Benefits and More

• Health, dental, and vision insurance
• Life and disability insurance
• Retirement & Savings Plan
• Emergency back-up child and adult care
• Paid vacation, sick time off, and holidays
• Professional development and career advancement opportunities
• Employee recognition and reward programs
• Employee wellness and assistance programs
• Employee discounts and perks

This position is eligible for overtime: No

The target salary range for this position varies by location and is commensurate with relevant experience: Boston $92,900 - $139,500 | Los Angeles $99,900 - $149,900 | New York $99,900 - $149,900 | Orange County $99,900 - $149,900 | Philadelphia $92,900 - $139,500 | San Diego $99,900 - $149,900 | San Francisco $106,800 - $160,300 | Santa Monica $99,900 - $149,900

#LI-NC1