Data Engineer

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

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. As part of a growing data function, the Data Engineer will help build, maintain, and improve the data pipelines and platforms that power the Firm’s analytics and reporting. This role works closely with senior data engineers and business stakeholders to support the Firm’s ongoing data modernization efforts.

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.

#LI-NC1 Benefits and More

At Goodwin, you will discover your next career opportunity with a rewarding compensation package and comprehensive benefits, including:

• 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

Professional career paths at Goodwin offer you more – and less – than you might expect. You’ll find less hierarchy and more meritocracy. You’ll have more chances to work across departments and offices, and fewer roadblocks to getting the job done. We believe people are happiest when they’re not limited by a ‘that’s how we’ve always done it’ approach, so we encourage a more imaginative and collaborative working environment.

Our Global Operations Team – what we call our GO Team – brings a level of professionalism, enthusiasm and commitment to work each and every day.

Goodwin embraces responsible and ethical use of AI in the Hiring Process.