Senior Data Engineer

About the role

This is a hybrid role based in Denver, Colorado with the expectation to be in the office at least 3 days a week for collaboration and connection.

Responsibilities

• Design, build, and maintain production-grade data pipelines and ELT workflows at scale.
• Develop and own a Snowflake-based data warehouse using dbt best practices (models, tests, documentation, incremental strategies).
• Partner with analytics and business stakeholders to translate requirements into well-modeled, reliable datasets.
• Write and optimize complex SQL for large analytical datasets, ensuring performance and accuracy.
• Apply strong software engineering practices to data work, including version control, testing, and CI/CD.
• Integrate data from third-party SaaS platforms such as CRM, product analytics, and finance systems.
• Produce clear technical documentation, including pipeline designs and data flow diagrams.
• Take end-to-end ownership of data solutions, ensuring quality, performance, and long-term maintainability.

Requirements

• 5+ years of experience designing, building, and operating production-grade data platforms, including scalable data pipelines and cloud data warehouses.
• 2+ years of production experience using dbt to build scalable, well-tested data warehouse solutions.
• Strong SQL expertise, including complex analytical queries, performance optimization, and working with large datasets.
• Hands-on experience with Snowflake (or similar cloud data warehouses) in a production analytics environment.
• Strong proficiency in Python (or another object-oriented language) applied to data engineering, including writing maintainable, tested code.
• Solid data engineering and software engineering fundamentals, including data modeling, version control (Git), testing, documentation, and collaboration with cross-functional stakeholders.

Qualifications

• Advanced Snowflake expertise, including performance tuning, query profiling, and warehouse optimization (nice-to-have).
• Experience with dimensional and enterprise data modeling methodologies (e.g., Kimball, Inmon) (nice-to-have).
• Experience owning analytics solutions for business domains such as Finance, Sales, or Marketing (nice-to-have).
• Advanced Python experience and/or multiple production dbt implementations with mature practices (testing, CI/CD, multi-environment deployments) (nice-to-have).

Skills

• Must have 5+ years of experience designing, building, and operating production-grade data platforms, including scalable data pipelines and cloud data warehouses.
• Must have 2+ years of production experience using dbt to build scalable, well-tested data warehouse solutions.
• Must have strong SQL expertise, including complex analytical queries, performance optimization, and working with large datasets.
• Must have hands-on experience with Snowflake (or similar cloud data warehouses) in a production analytics environment.
• Must have strong proficiency in Python (or another object-oriented language) applied to data engineering, including writing maintainable, tested code.
• Must have solid data engineering and software engineering fundamentals, including data modeling, version control (Git), testing, documentation, and collaboration with cross-functional stakeholders.

Benefits

• Pay Transparency for Colorado Applicants: The base salary range for this role is $140,000 to $180,000. Final compensation will be determined based on experience, skills, education, and other relevant qualifications.
• The role is also eligible to participate in a company bonus plan.
• In addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) with company match, and incentive and recognition programs.

Pay

The base salary range for this role is $140,000 to $180,000. Final compensation will be determined based on experience, skills, education, and other relevant qualifications.

Schedule

This is a hybrid role based in Denver, Colorado with the expectation to be in the office at least 3 days a week for collaboration and connection.