Senior Data Engineer
About The Position
Benchmark Analytics is dedicated to making a difference in law enforcement agencies across the U.S. by transforming policing with a preventative-based early intervention system. This system analyzes officer performance data using data science and machine learning to identify potentially problematic behavior. In partnership with the University of Chicago, they have developed the world's largest multi-jurisdictional officer performance database and the only research-driven, evidence-based early intervention system in policing. Benchmark Analytics also provides a fully integrated, cloud-based Software-as-a-Service (SaaS) platform designed to simplify essential policing workflows, serving as a single-source solution for operational needs and driving efficiency with advanced analytics and insights. The company offers a comprehensive, all-in-one solution that advances police force management through state-of-the-art technology and market-leading data and analytics. The role involves actively evolving the data platform from legacy ETL systems to a modern, cloud-native architecture built on Python, Kubernetes, and AI-assisted and agentic workflows. This position will be critical in this transformation.
Requirements
- Bachelor’s degree in STEM field or equivalent experience
- 6+ years of experience building production-grade data systems, with demonstrated ownership of system design or major platform components
- Strong experience building ETL/ELT pipelines across structured and unstructured data
- 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)
- Ability to manage multiple priorities in a fast-paced environment
- Experience designing scalable data solutions in production
- Experience handling large data volumes and schema evolution
- Proficiency in SQL and relational/analytical databases
- Proficiency in Python (and/or Java, Shell)
- Experience with AWS ecosystem (S3, Lambda, SQS/SNS)
- Familiarity with Spark/EMR preferred
- Experience with Docker and Kubernetes
- Strong data modeling knowledge (relational and NoSQL)
- Technologies: SQL, Python, AWS, Postgres, Spark/EMR, Git, Docker, Kubernetes, Django, DynamoDB
Nice To Haves
- Experience building or contributing to a greenfield data platform
- Experience migrating away from legacy ETL tools
- Experience integrating LLM or agent-based systems into data workflows (e.g., tool-calling, retrieval, automation)
- Experience working in regulated environments (e.g., GovCloud, HIPAA)
Responsibilities
- Designing, developing, and maintaining scalable, fault-tolerant data pipelines and ETL/ELT processes across a modern stack
- Contributing to the design and implementation of a greenfield data platform leveraging Python, Kubernetes, and AWS services
- Operating in a hybrid greenfield and brownfield environment: building new capabilities while maintaining legacy systems
- Leading development discussions and defining engineering patterns and standards
- Assessing and analyzing legacy data processes and driving modernization efforts
- Collaborating with cross-functional teams to ensure delivery of clean, reliable, and production-ready data
- Improving data pipeline performance, observability, and reliability
- Designing and integrating AI-assisted or agentic workflows to improve data processing and system interaction
- 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
Benefits
- Competitive salary and benefits package
- Unlimited Paid Time Off
- Fully remote environment (must be based in the U.S. and willing to work in Central Time Zone)
- Summer Half-Day Fridays
- Freed-Up Fridays during Spring, Fall, and Winter months
- Medical, dental, and vision plan offerings
- 401(k)
- Employer-paid Short-Term Disability
- Employer-paid Long-Term Disability
- Employer-paid Life Insurance
- Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident Insurance
- Satisfaction from being part of a solution that has real impact
- Diverse workforce and inclusive environment
- Empowered culture that encourages creativity and professional growth
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What This Job Offers
Job Type
Full-time
Career Level
Senior
