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.
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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
Skills Required
- 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
- Hands-on experience with at least one cloud data platform, such as Snowflake, Databricks, BigQuery, or Redshift
- Understanding of data modeling concepts, including fact tables, dimension tables, and schema design
- Experience using Git or similar source-control tools
- Strong problem-solving skills and attention to data accuracy and detail
- Ability to work independently and collaboratively across teams
- Bachelor’s degree in Computer Science or a related field
- Exposure to law firm application databases such as Aderant Expert, Foundation, or iManage
- Familiarity with ETL/ELT tools such as dbt, Airflow, or similar frameworks
- Familiarity with AI/LLM technologies applied to data engineering
Goodwin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goodwin and has not been reviewed or approved by Goodwin.
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Fair & Transparent Compensation — Associate pay is described as meeting BigLaw market levels with a lockstep structure. Feedback suggests many employees perceive compensation as fair for their roles, with stronger sentiment in attorney tracks.
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Strong & Reliable Incentives — Bonuses are reported to match major BigLaw scales, with additional payments in some years and clear links to hours and standing. Feedback suggests this consistency reinforces confidence in performance-based rewards.
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Healthcare Strength — The benefits package is characterized as comprehensive, including medical, dental, vision, HSA/FSA options, and access to services like One Medical. Wellness and mental-health resources are highlighted within a broad well-being approach.
Goodwin Insights
What We Do
We are in the business of building authentic, long-term relationships with our clients, who are some of the world’s most successful and innovative investors, entrepreneurs and disruptors at the convergence of and within the life sciences, private equity, real estate, technology, and financial industries. To learn more, visit us at www.goodwinlaw.com and follow us on Twitter at @goodwinlaw and Instagram at @join_goodwin. Office locations - Boston, New York, Washington, D.C., San Francisco, Silicon Valley, Los Angeles, Santa Monica, London, Cambridge, Paris, Luxembourg, Frankfurt, Hong Kong, Munich and Philadelphia *Attorney Advertising


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