Sr. Data Engineer

Goodwin

Maryland

On-site

USD 150,000 - 160,000

Full time

4 days ago

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Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan

Paid time off

Job summary

Goodwin’s Global Operations Team is seeking a Senior Data Engineer to advance our data platforms and foster a data-driven culture across IT and business units. You will guide modernization efforts, ensure scalable, secure data solutions, and collaborate with senior leaders to drive strategic insights.

Ideal candidates will have 5+ years in data engineering or database architecture, strong SQL, Python, and cloud experience (Snowflake), plus a hands-on approach to ETL/ELT pipelines and data

Qualifications

Bachelor’s degree in Computer Science or a related field is preferred.
Five or more years of experience in a senior data engineering or database architecture role.
Industry-recognised database or cloud platform certifications are a plus.
Experience working with cloud-based data platforms and services, such as Snowflake data cloud.
Advanced SQL development and modelling skills, including associated tools.
Strong experience designing, building, and maintaining data integration and ETL/ELT pipelines to support creation of data warehouse and analytical data models.
Working knowledge of Python for data engineering and automation.
Proven experience with relational database management systems and related data technologies.
Experience integrating with APIs and working with structured and semi-structured data formats such as (e.g. JSON and XML).
Experience using Git or similar tools for source control and version management.
Experience working in an Agile development environment.
Experience with database performance monitoring and tuning.
Familiarity with AI and large language model technologies.
Ability to work independently and collaborate effectively in team environments
Excellent organisational, customer service, and problem-solving skills.

Responsibilities

Manage, evaluate, and enhance our existing data platforms, identifying opportunities to leverage emerging technologies and cloud-based solutions.
Contribute to standards and procedures for data governance, integration, quality management, and lifecycle management.
Collaboration: Evaluate, enhance, and modernize the Firm’s data platforms with cloud solutions to improve scalability, accessibility, and security.
Contribute to establishing standardized procedures for data management, governance, integration, quality management, and lifecycle management.

Skills

SQL development

Data modeling

Data integration pipelines

Python for data engineering

APIs & data formats (JSON/XML)

Git version control

Agile development

Cloud data platforms

Data governance

Performance tuning

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake data cloud

Git

ETL/ELT tools

Job description

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.

The role of Senior Data Engineer is essential for the successful modernization of our data platforms and practices. The Senior Data Engineer will collaborate with IT teams, business units, and senior management to drive change and foster a data‑driven culture. They will provide expert guidance, informed research, and support, ensuring successful implementation and stakeholder engagement throughout the lifecycle of data projects.

What You Will Do

Manage, evaluate, and enhance our existing data platforms, identifying opportunities to leverage emerging technologies and cloud‑based solutions. By modernizing our data infrastructure, we can improve scalability, accessibility, turnaround times, and security, paving the way for advanced analytics and driving data‑based insights.
Contribute to the establishment of standards and procedures for data governance, integration, quality management, and lifecycle management. By optimizing these processes, we will ensure data consistency, accuracy, and timeliness, enabling reliable decision‑making across the organization.
Collaboration:
Evaluate, enhance, and modernize the Firm’s data platforms, including exploring emerging technologies and cloud‑based solutions to improve scalability, accessibility, and security.
Contribute to establishing and optimizing standardized procedures for data management, data governance, data integration, quality management, and lifecycle management to ensure data consistency, accuracy, and timeliness.
Collaborate with cross‑functional teams, business units, and senior management to drive data‑driven initiatives, foster a data‑driven culture, and ensure alignment with organizational goals.
Monitor and optimize enterprise data platforms and data engineering processes, identify areas for improvement, and drive innovation to enhance data processing efficiency, data quality, and overall system performance.

Who You Are

Bachelor’s degree in Computer Science or a related field is preferred.
Five or more years of experience in a senior data engineering or database architecture role.
Industry‑recognised database or cloud platform certifications are a plus.
Experience working with cloud‑based data platforms and services, such as Snowflake data cloud.
Advanced SQL development and modelling skills, including associated tools.
Strong experience designing, building, and maintaining data integration and ETL/ELT pipelines to support creation of data warehouse and analytical data models.
Working knowledge of Python for data engineering and automation.
Proven experience with relational database management systems and related data technologies.
Experience integrating with APIs and working with structured and semi‑structured data formats such as (e.g. JSON and XML).
Experience using Git or similar tools for source control and version management.
Experience working in an Agile development environment.
Experience with database performance monitoring and tuning.
Familiarity with AI and large language model technologies.
Ability to work independently and collaborate effectively in team environments
Excellent organisational, customer service, and problem‑solving skills.

Preferred (Great To Have, But Not Necessary)

Experience with common law firm application databases such as Aderant Expert, Foundation, iManage.
Experience with Finance, ERP, and Financial Reporting.
Experience with third‑party database monitoring and diagnostics tools.

Benefits And More

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