Data Engineer
At a glance
Mid-level Data Engineering role at Goodwinprocter. Boston · full-time.
Goodwinprocter states pay in the role description below.
dataroles summary, based on the employer's posting.
What you'll do
- Build and check pipelines and data models that move information from source systems into warehouses and analytics platforms
- Keep ETL/ELT workflows accurate and timely, fixing data quality problems when they occur
- Work with data engineers and product owners to add governance checks, recoverable jobs, error handling and monitoring
- Document pipeline designs, schemas and working processes so teammates can use them
- Join sprint planning, stand-ups and retrospectives, and track every code change in Git
What you bring
- At least two years in data engineering or a related technical position
- Strong SQL skills across joins, aggregations, CTEs and window functions, plus Python for engineering or automation work
- Hands-on use of a cloud data platform and understanding of fact tables, dimensions and schema design
- Experience with Git or a comparable source-control system
Who this fits
This mid-level role suits someone who can work independently while partnering with data engineers and business stakeholders. A computer science degree or a related qualification is preferred. The position is based in Boston; overtime is not available.
From the employer
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.
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
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