Data Engineer

Litera has been at the forefront of legal technology innovation for over 25 years, crafting legal software to amplify impact and maximize efficiency. Developed by the best legal minds in the industry, our comprehensive suite of integrated legal tools is both powerful and user-friendly and simplifies the way modern firms manage core legal workflows, secure collaboration, and organize firm knowledge and experience. Every day, we help more than 2.3 million legal professionals focus on their craft. Litera: Less busy work, more of your life’s work.

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

• 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 solution s .
  
• 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 architecture principles.
  
• Proficiency in SQL and Python for data manipulation, transformation , and automation.
  
• Demonstrated proficiency in data integration utilizing APIs, including designing, developing, and maint ain ing connections . Skilled in troubleshooting and optimizing API performance to enhance data accuracy and efficiency.
  
• Experience with Snowflake Cortex, or other AI assisted data/software tools is a plus.
  

• The company culture : We emphasize helping each other grow, doing the right thing always, and being part of a journey to amplify impact, creating an exciting and fulfilling work environment
  
• Commitment to Employees : Our people commitment is based on what employees love most about being part of the team, focusing on tools that matter to the difference-makers in the legal world and amplifying their impact
  
• Global, Dynamic, and Diverse Team : Our is a global company with ambitious goals and unlimited opportunities, offering a dynamic and diverse work environment where employees can grow, listen, empathize, and problem-solve together
  
• Comprehensive Benefits Package: Experience peace of mind with our health insurance, retirement savings plans, generous paid time off, and a supportive work-life balance. We invest in your well-being and future, ensuring a rewarding career journey.
  
• Career Growth and Development : We provide career paths and opportunities for professional development, allowing employees to progress through various technical and leadership roles
  

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.