[Hiring] Senior Data Engineer @Benchmark Solutions LLC

Role Description

We are actively evolving our data platform from legacy ETL systems to a modern, cloud-native architecture built on Python, Kubernetes, and AI-assisted and agentic workflows. This role will play a critical part in that transformation.

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

Qualifications

• 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

Requirements

• 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)

Benefits

• A competitive salary and benefits package.
• Unlimited Paid Time Off.
• Ability to work in a 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 to promote productivity and dedicated heads-down work time.
• 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.
• The satisfaction that comes with being part of a solution that has real impact in the world.
• A diverse workforce and inclusive environment that embraces unique contributions and experiences.
• An empowered culture that encourages creativity and professional growth.