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Data Engineer

Los Angeles, CA

Pay
$110,000–150,000/year — pay source
Lift equipment, up to 15 lbs. for the setup of demonstration and testing. COMPENSATION: $110,000 - $150,000 / annually #silvuscareers
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Motorola

What you’ll work on

Full posting
  • Design and extend the core data warehouse (e.g., Snowflake, BigQuery, Redshift)

  • Build and optimize scalable ETL/ELT pipelines from various sources

  • Evolve data schemas as new backend/CRM features are added

  • Monitor pipeline health and data integrity, alerting before reporting issues

  • Select tools and storage so the warehouse can grow without a full rebuild

From the employer’s posting
Design, build, and extend the core Data Warehouse (e.g., Snowflake, BigQuery, Redshift)
Design, build, and optimize scalable ETL/ELT pipelines to move data from various sources into the data warehouse
As features are added to the backend/CRM, the warehouse architecture will be extended to accommodate new data points
Monitor pipeline health and data integrity, alerting the team to discrepancies before they reach the reporting layer
Evaluate and implement the right tools for our modern data stack

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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).
  • Experience with API integrations and managing unstructured vs.
  • 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).
Qualification wording
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).
Experience with API integrations and managing unstructured vs. structured data.
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).
Education & alternatives
REQUIRED QUALIFICATIONS - 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).
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).
Basic Requirements - 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.

Tools in this posting

  • Python
  • Scala
  • SQL
  • BigQuery
  • dbt
  • PostgreSQL
  • Redshift
  • Snowflake
  • Airflow
Source — Tool mentions in context
- 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.
- 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).
ROLE AND RESPONSIBILITIES - 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.

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 26, 2026 · 2 days ago
Recorded sightings
10
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department Overview

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications – on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.


Job 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”?


THE OPPORTUNITY 


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.


This position is 100% onsite, Monday through Friday, at Silvus Technologies’ headquarters in the heart of vibrant West Los Angeles, CA.


The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

 

ROLE AND RESPONSIBILITIES

  • 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.

REQUIRED QUALIFICATIONS

  • 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.

 

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS

  • Lift equipment, up to 15 lbs. for the setup of demonstration and testing. 

 

COMPENSATION: $110,000 - $150,000 / annually


#silvuscareers


Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.


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.


Basic Requirements

  • 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.


Travel Requirements

None


Relocation Provided

None


Position Type

Experienced


Referral Payment Plan

Yes

Our U.S. Benefits include:

  • Incentive Bonus Plans

  • Medical, Dental, Vision benefits

  • 401K with Company Match

  • 10 Paid Holidays

  • Generous Paid Time Off Packages

  • Employee Stock Purchase Plan

  • Paid Parental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Lift equipment, up to 15 lbs. for the setup of demonstration and testing. COMPENSATION: $110,000 - $150,000 / annually #silvuscareers
Location & working pattern

Los Angeles, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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.
More source context
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. 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. Basic Requirements

More relevant text appears in the full description.

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