Data Engineer

Job Description

Join the Legal Tech Revolution at Litera

Are you ready to shape the future of how law is practiced? At Litera, we’re on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We’ve been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world’s largest law firms as our clients. If you’re passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that’s elevating the craft of law.

As part of our strategic growth and commitment to fostering collaboration and operational excellence, we are transitioning to a hybrid working model across North America. We are establishing offices in Austin, Boston, Chicago, Denver, New York City, Philadelphia, New Jersey, Raleigh, and Toronto to serve as key operational hubs, and we are actively seeking talented individuals to join our team in this exciting new phase.

This position is located in our Denver, CO office. Candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week. This hybrid approach enables us to build a collaborative and innovative work environment while maintaining the flexibility that supports both productivity and work-life balance.

Overview: As a Data Engineer at Litera, you will be part of a dynamic team that is passionate about driving innovation in the legal technology space. You will have the opportunity to work with cutting-edge tools and collaborate with industry experts to deliver solutions that make a real difference in the legal profession. 

Key Responsibilities: 

• Design, implement, and optimize cloud-based data warehouse solutions to enhance and expand our internal data and product offerings. 

• Collaborate with Litera Data Architects to design and implement backend data structures and query components in relational and non-relational data management systems. 

• Take ownership of application data schema design and implementation, ensuring scalability and performance. 

• Recommend appropriate data environments, structures, tools, development techniques, data security, and methodologies to meet project requirements. 

• Participate effectively and collaboratively in a fast-paced environment with globally located teams working in different time zones. 

• Write and document clean, maintainable, and extensible code with a minimum number of defects. 

• Collaborate with cross-functional teams (PM, Dev, QA, DevOps) to complete tasks and ensure seamless integration of data solutions. 

Qualifications: 

• Bachelor's degree in computer science, IT, a related field, or equivalent work experience. 

• 8+ years of hands-on experience in data engineering, database design, and implementing and maintaining full-scale data warehouse solutions. 

• Demonstrated experience working in Snowflake, SQL Server, dbt, Azure Data Factory and Rivery or similar modern ETL tools. Deep expertise in Snowflake (performance tuning, security, etc.) is desired.  

• Expert understanding of data structures and data