Senior Data Engineer

Posted Yesterday
Hiring Remotely in USA
Remote
130K-140K Annually
Senior level
Cloud • Hardware • Security • Software
The Role
Design and build large-scale data migration systems, map heterogeneous legacy sources into the platform, ensure end-to-end data correctness, create repeatable tooling, support analytics and BI, optimize performance and storage, debug production data issues, and collaborate with Product, Implementation, and Ops for agency onboarding.
Summary Generated by Built In

Apply today to join Coreforce, where your Engineering expertise makes a real impact.  

Join Our Team as a Senior Data Engineer 

Company: Coreforce
Location: Remote
Job Type: Full-time
Salary: Based on Experience

Company Overview:
Coreforce is an innovative technology company providing public safety organizations a comprehensive technology suite from dispatch to the courtroom. Coreforce delivers integrated technology designed to support public safety entities, regardless of organizational size. Our products - body cameras, in-car videos, mobile routers, and digital evidence systems- help public safety officers and first responders save lives, strengthen community trust, and enhance accountability.

Senior Data Engineer - Build Your Career with Purpose

Join Coreforce and use your engineering skills to support innovative technology that strengthens communities.

Why You’ll Love Working Here:

  • 15 PTO days + floating holiday.
  • Competitive benefits: medical, dental, vision, 401(k). We provide 401(k) matching per the terms of the 401(k) plan.   
  • Annual bonus.
  • Tuition reimbursement.
  • Career growth in a fast-growing, mission-driven company.
  • Collaborative, purpose-driven culture.


Responsibilities:

  • Design and build the migration system that moves customer data from internal and external legacy systems into our platform—millions of rows per conversion.
  • Map heterogeneous source data—legacy CAD/RMS exports, third-party databases, flat files—into our data model.
  • Own migration correctness end to end—validation, reconciliation, and reporting that proves nothing was lost or corrupted.
  • Build tooling that makes conversions repeatable, auditable, and progressively more automated.
  • Contribute to analytics and business intelligence—modeled datasets, reporting, and dashboards that agencies depend on.
  • Optimize query performance and storage costs across large, growing datasets.
  • Debug and resolve data issues in production systems that operate 24/7/365.
  • Collaborate with Product, Implementation, and Operations teams to deliver on agency onboarding commitments.
Qualifications
  • 4+ years of software or data engineering experience
  • High-volume ETL or data migration in production—you've moved millions of rows between systems that couldn't afford to lose one
  • Strong SQL and data modeling—schema design, mapping between disparate schemas, query optimization
  • Programming proficiency in Python, Go, or a similar language
  • Experience extracting from operational databases—relational and document stores— without disrupting production workloads
  • Rigor around data correctness—validation, reconciliation, idempotent re-runs, audit trails
  • Comfort with mature codebases—you can navigate, improve, and ship in systems you didn't build
  • Production debugging skills—you've been paged off-hours and fixed forward
  • AWS experience in production environments
  • AI/LLM fluency—you actively use AI tools to accelerate your work and generate production-ready code

Technology

  • Data stores: MySQL, MongoDB, Redis
  • Migration & pipelines: Go, Python, high-volume ETL
  • Analytics: SQL-based reporting, Grafana dashboards
  • Infrastructure: AWS ECS, Terraform

Preferred Qualifications

  • Legacy system conversions—CAD/RMS, ERP, EHR, or similar vendor-to-vendor data migrations
  • Streaming and event-driven systems (Kafka, Kinesis, or similar)
  • Modern data stack tooling (dbt, Airflow, Dagster, or warehouse platforms)
  • BI and observability tooling (Grafana or similar)
  • Multi-tenant SaaS architecture patterns
  • Public safety, healthcare, or government/compliance-heavy domainCJIS, FedRAMP, or SOC 2 environments

Coreforce is an equal opportunity employer committed to diversity and inclusion.

Skills Required

  • 4+ years of software or data engineering experience
  • High-volume ETL or data migration in production (millions of rows, zero-loss)
  • Strong SQL and data modeling, schema design, query optimization
  • Programming proficiency in Python, Go, or similar
  • Experience extracting from operational databases (relational and document stores) without disrupting production
  • Rigor around data correctness: validation, reconciliation, idempotent re-runs, audit trails
  • Comfort navigating and improving mature codebases
  • Production debugging skills and on-call incident response experience
  • AWS experience in production environments (AWS ECS referenced)
  • AI/LLM fluency and use of AI tools to generate production-ready code
  • Familiarity with MySQL, MongoDB, Redis and Grafana dashboards
  • Experience with Terraform for infrastructure
  • Legacy system conversion experience (CAD/RMS, ERP, EHR or similar)
  • Streaming/event-driven systems knowledge (Kafka, Kinesis, or similar)
  • Modern data stack tooling (dbt, Airflow, Dagster, or warehouse platforms)
  • BI and observability tooling experience (Grafana or similar)
  • Multi-tenant SaaS architecture patterns
  • Domain experience: public safety, healthcare, or compliance-heavy environments (CJIS, FedRAMP, SOC 2)
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The Company
200 Employees
Year Founded: 2001

What We Do

Coreforce is a mission-critical public-safety technology company that equips law enforcement, first responders, and corrections with integrated hardware and cloud software. Its unified, cloud-native platform delivers body-worn and in-car cameras, digital evidence management, CAD/RMS, situational awareness, and jail management tools to improve accountability, operational efficiency, and public trust across agencies nationwide.

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