Data Engineer

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 plusFamiliarity with ETL/ELT tools such as dbt, Airflow or similar transformation /orchestration frameworksFamiliarity with AI/LLM technologies as applied to data engineering.#LI-NC1Benefits and MoreAt Goodwin, you will discover your next career opportunity with a rewarding compensation package and comprehensive benefits, including:Health, dental, and vision insuranceLife and disability insuranceRetirement & Savings PlanEmergency back-up child and adult carePaid vacation, sick time off, and holidaysProfessional development and career advancement opportunitiesEmployee recognition and reward programsEmployee wellness and assistance programsEmployee discounts and perksThis position is eligible for overtime: NoThe 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 - $149,900SummaryLocation: Boston; Washington DCType: Full time