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Goodwin Procter LLP

Data Engineer

Goodwin Procter LLP
Boston, MA $93k - $140k/yr Full time Posted 4d ago
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Job Description

Goodwin Procter LLP is hiring a Data Engineer to help modernize the firm’s data foundation. This onsite role in Boston, MA focuses on building and improving data pipelines and platforms that support analytics and reporting, working closely with senior data engineers and business stakeholders.

You will deliver reliable, well-governed ETL/ELT workflows and data models, with a strong emphasis on data quality, documentation, and Agile execution using Git-based development practices.

What you’ll 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 while troubleshooting data quality issues as they arise.
  • Collaborate with data engineers and product owners to implement data governance practices, including testable code, proper error handling, and rerunnable jobs with monitoring and observability in place.
  • Contribute to documentation of data pipelines, schemas, and processes to support knowledge-sharing across the team.
  • Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives, and use Git for all code changes.

What you bring

  • 2+ years of experience in data engineering or a 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 such as Snowflake, Databricks, BigQuery, or Redshift.
  • Understanding of core data modeling concepts, including fact tables, dimension tables, and 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 is a plus.
  • Familiarity with ETL/ELT tools such as dbt, Airflow, or similar transformation and orchestration frameworks.
  • Familiarity with AI/LLM technologies as applied to data engineering.
  • Bachelor’s degree in Computer Science or a related field is preferred.

Tools you’ll work with

  • SQL, Python, Snowflake, Databricks, BigQuery, Redshift
  • Git, ETL/ELT, dbt, Airflow

Compensation and benefits

Target salary range (Boston): USD 92,900 - 139,500 per year. Salary varies by location and experience.

  • 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

Overtime eligibility: No

Location salary ranges: 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.

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