Data Engineer
- Los Angeles, United States
- Mid Level
- 3+ years
- Bachelor's degree
- Posted
Skills
Required
- database
- Data Engineering / Mathematics
- programming
- Python / Scala
- data orchestration
- Airflow
- SQL
- data warehousing
- Snowflake / BigQuery / PostgreSQL
- API integrations
- database engineering
- non-relational databases / data stores
- object storage
- document or key-value stores
- graph databases
Preferred
- Data Warehouse
- extending the warehouse architecture
- database administration
- performance tuning
Join Silvus Technologies as a Data Engineer, where you will design, build, and extend our core Data Warehouse, optimize data schemas for scalability and performance, and implement the right tools for our modern data stack. You will also design and optimize scalable ETL/ELT pipelines, monitor pipeline health and data integrity, and perform other related duties. Enjoy flexible work models, paid time off, health care benefits, and more.
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
Responsibilities
- Design, build, and extend the core Data Warehouse, ensuring optimization for high-volume data ingestion and rapid analytical querying.
- Proactively manage the evolution of data schemas, extending the warehouse architecture to accommodate new data points while maintaining historical integrity.
- Evaluate and implement the right tools for the modern data stack, ensuring the warehouse can grow 10x without a complete rebuild.
- Background in database administration and performance tuning
Requirements
- 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
Pay
USD 110,000 - 150,000
jobapplier