Senior Data Engineer

🕒 May 12

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $135k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Benchmark Analytics

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51 - 200 employees

Benchmark Analytics® was founded by a group of dedicated professionals with years of experience in law enforcement — along with deep expertise in the power of Data Science, evidence-based research and advanced technology for developing solutions proven to evolve personnel management in modern policing. With Benchmark Management System® (BMS), we close the current knowledge gaps in the marketplace by tracking, organizing and analyzing all data points associated with a police department’s sworn and non-sworn officers. We work with agencies to develop a comprehensive, top-to-bottom police force management system.First Sign® Early Intervention is the only research-based, data science-driven EIS in policing available today. First Sign leverages the world’s largest officer performance database with over 20 million records — developed in collaboration with the University of Chicago to deliver the most effective tool to identify off-track officer behavior. First Sign goes well beyond standard early warning systems by establishing benchmarks that more accurately identify levels of at-risk behavior . . . alerting you to the real need of intervention and officer support.Our Care Action Response Engine® (C.A.R.E) platform helps supervisors develop a deliberate, meaningful plan of action to help officers who have fallen off track get back on track — and out of C.A.R.E. Our mission is to transform police force management through an all-in-one, data management and early intervention system that provides a holistic view of every officer — in police departments of every size.

📋 Description

• Designing, developing, and maintaining scalable data pipelines and ETL/ELT processes • Contributing to the design and implementation of a greenfield data platform • Operating in a hybrid greenfield and brownfield environment • Leading development discussions and defining engineering patterns and standards • Assessing and analyzing legacy data processes • Collaborating with cross-functional teams • Improving data pipeline performance, observability, and reliability • Supporting documentation efforts for scalability and platform adoption • Providing technical mentorship and guidance to junior engineers • Acting as a technical SME in internal and client-facing discussions

🎯 Requirements

• Bachelor’s degree in STEM field or equivalent experience • 6+ years of experience building production-grade data systems • Strong experience building ETL/ELT pipelines • Experience with cloud-based architectures (AWS preferred) • Strong SQL and data modeling skills • Strong Python engineering skills • Experience with Docker and orchestration frameworks (Airflow or equivalent) • Experience modernizing or migrating legacy systems • Proven ability to troubleshoot complex data issues • Sufficient understanding of DevOps practices (CI/CD, IaC)

🏖️ Benefits

• Unlimited Paid Time Off. • Ability to work in a fully remote environment. • Summer Half-Day Fridays. • Freed-Up Fridays during Spring, Fall, and Winter months. • Medical, dental, and vision plan offerings along with 401(k). • Employer-paid Short-Term Disability, Long-Term Disability, and Life Insurance. • Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident Insurance.