Senior Data Engineer

Senior Data Engineer Hot Job Quick Apply Overview Salary Range $130,000.00 - $140,000.00 Salary/year Position Type Full Time Quick Apply Description 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