Data Engineer

* Warehouse Architecture & Modeling: Design, build, and extend the core Data Warehouse (e.g., Snowflake, BigQuery, Redshift). Responsible for the physical and logical data design, ensuring the warehouse is optimized for both high-volume data ingestion and rapid analytical querying * Scalability & Performance: Proactively manage the evolution of data schemas. As features are added to the backend/CRM, the warehouse architecture will be extended to accommodate new data points while maintaining historical integrity and system performance * Infrastructure Selection: Evaluate and implement the right tools for our modern data stack (e.g., selecting the right compute tiers or storage solutions) to ensure the warehouse can grow 10x without a complete rebuild * Pipeline Modeling: Design, build, and optimize scalable ETL/ELT pipelines to move data from various sources into the data warehouse * Pipeline Monitoring: Monitor pipeline health and data integrity, alerting the team to discrepancies before they reach the reporting layer * Perform other related duties of which the above are representative Benefits -------- * Flexible work models * Paid time off * Paid parental and family leave * Health care benefits * Global wellness resources * Employee assistance programs * Rotation programs * Mentor relationships * Learning and development opportunities * Retirement benefits * Employee bonuses * Stock grants & employee stock purchase plans * Background in database administration and performance tuning * Strong programming skills in Python or Scala for data orchestration (e.g., Airflow, dbt) * Expertise in SQL and data warehousing (e.g., Snowflake, BigQuery, or PostgreSQL) * Experience with API integrations and managing unstructured vs. structured data * All employment is contingent upon the successful clearance of a background check and drug test * Bachelor’s degree in Computer Science, Data Engineering, or Mathematics with 3+ years of experience in database engineering, or High School diploma with 7+ years of experience in database engineering * Must be a U.S. Person (U.S. Citizen, or U.S. Permanent Resident) due to clients under U.S. federal contracts * Master’s degree in Computer Science, Data Engineering, or Mathematics * Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) * Experience modernizing pipelines to reduce technical debt and improve reliability * Strong written and verbal communication skills and comfort operating independently in ambiguous problem spaces * Experience building a database from the ground up * Lift equipment, up to 15 lbs. for the setup of demonstration and testing * NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US