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# Data Engineer

- **Company:** Motorola Solutions, Inc.
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Salary:** $110,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, BigQuery, Computer Programming, Databases, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Stores, Data Warehousing, Graph Database, Python (Programming Language), PostgreSQL, Performance Tuning, SQL Databases, Data Ingestion, Snowflake, Technical Debt, Backend, Core Data, Information Technology, Non-relational Database, Data Pipelines, Api Management, Amazon Redshift
- **Published:** October 27, 2026
- **Apply:** https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Los-Angeles-CA/Data-Engineer_R69924

## About the Role

* 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.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES

 * 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., * 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.
 * All employment is contingent upon the successful clearance of a background check and drug test.

## Description

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "Keeping Our Heroes Connected"?, Silvus is seeking a Data Engineer who will report to the Director of Operations on the Business Intelligence team., The Data Engineer is responsible for designing, building, and maintaining the organization's modern data warehouse and scalable data pipelines that support business intelligence and analytics. This role ensures data architecture is optimized for performance, scalability, and reliability by evolving data models, monitoring pipeline health, and implementing infrastructure that supports long-term business growth., * 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.