Senior Data Engineer

Where You’ll Work Hybrid: This role is based in Denver, Colorado and expects you to be in office at least 3 days a week for collaboration and connection. Why this Role Matters We’re looking for a Senior Data Engineer to help design, build, and operate a scalable analytics data platform that supports key business domains. You’ll work closely with analytics, engineering, and business stakeholders while owning data solutions end‑to‑end — from design through production. What You’ll Deliver 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. What You’ll Bring 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. Nice‑To‑Haves Advanced Snowflake expertise, including performance tuning, query profiling, and warehouse optimization. Experience with dimensional and enterprise data modeling methodologies (e.g., Kimball, Inmon). Experience owning analytics solutions for business domains such as Finance, Sales, or Marketing. Advanced Python experience and/or multiple production dbt implementations with mature practices (testing, CI/CD, multi‑environment deployments). What You’ll Experience Team culture with a focus on mutual support and impactful problem solving. Global collaboration across complex, meaningful projects. Opportunities for growth and development at the intersection of legal expertise and cutting‑edge AI. Impact at scale. Pay Transparency Base salary range: $140,000–$180,000. Salary determined by experience, skills, education, and other qualifying factors. Eligible for a company bonus plan. Additional compensation includes a 401(k) with company match, medical, dental, vision coverage, and incentive programs. Benefits Comprehensive benefits package covering medical, dental, vision, 401(k) with match, and incentive and recognition programs. Benefits subject to eligibility requirements. Equal Opportunity Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr Dormont Manufacturing Company