Data Engineer, Motorola Solutions

• 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
• Expertise in SQL and data warehousing (e.g., Snowflake, BigQuery, or PostgreSQL)
• Strong programming skills in Python or Scala for data orchestration (e.g., Airflow, dbt)
• Experience with API integrations and managing unstructured vs. structured data
• Background in database administration and performance tuning
• Must be a U.S. Person (U.S. Citizen, or U.S. Permanent Resident) due to clients under U.S. federal contracts
• All employment is contingent upon the successful clearance of a background check and drug test
• 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

Desirable

• 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