Senior Data Engineer

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.

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