Lead Data Engineer

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Direct message the job poster from Selby Jennings

Role Summary

We're looking for a seasoned engineer to lead the design, build, and optimization of data-centric applications and services. You'll own end-to-end delivery from solution design through deployment while mentoring a small team, elevating engineering practices, and ensuring our systems are scalable, reliable, and performant. The ideal candidate brings strong Oracle database expertise, hands-on Python/Spark experience, and a practical Dev Ops mindset (CI/CD, containers, cloud).

• Technical Leadership & Delivery: Drive solution design, work planning, and execution across the full SDLC; ensure high-quality releases and measurable outcomes.
• Oracle Engineering: Design robust schemas and write efficient SQL/PL/SQL; implement indexes/partitioning; manage performance tuning and query optimization.
• Performance & Reliability: Diagnose bottlenecks across application, database, and data pipelines; instrument, benchmark, and optimize for throughput and latency.
• Data Engineering: Build scalable transformations using Python (pandas) and Spark/PySpark; develop resilient ETL/ELT workflows and data quality checks.
• Application Development: Create maintainable Python services, libraries, and automation scripts; enforce clean architecture, testing, and code review practices.
• CI/CD & Dev Ops: Implement build/test/deploy pipelines (e.g., Jenkins/Git Hub Actions); manage containerized workloads (Docker/Kubernetes) and infrastructure-as-code where appropriate.
• Mentorship &
  
  Collaboration:
  
  Coach junior engineers, set standards, and foster a culture of craftsmanship, accountability, and continuous improvement.
• Documentation & Governance: Maintain clear technical documentation, design records, and runbooks; contribute to data modeling conventions and development guidelines.

• Experience: 5+ years in software/data engineering with demonstrable impact in production environments.
• Oracle & SQL Mastery: Advanced SQL/PL/SQL, schema design, indexing strategies, partitioning, query tuning, and database observability.
• Python & Spark: Strong Python (including pandas) and practical Spark/PySpark for batch/stream processing and data transformation.
• Data Modeling: Ability to design logical and physical models (3NF, dimensional/star schema), define entities/relationships, and optimize for analytics or OLTP.
• CI/CD & Containers: Hands-on with modern pipelines and container orchestration (e.g., Jenkins/Git Hub Actions, Docker, Kubernetes).
• Performance Engineering: Systematic approach to profiling, benchmarking, and optimization across app/data layers.
• Communication & Leadership: Clear written/verbal communication; proven collaboration and mentorship of junior team members.

• Cloud Expertise: Experience with AWS/Azure/GCP services (e.g., object storage, managed databases, compute, IAM/networking basics).
• Certifications (nice to have): Oracle Database, Python, Kubernetes/CKA/CKAD, or CI/CD tooling.
• Ways of Working: Familiarity with Agile/Scrum, trunk-based development, and test automation.
• Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Travel: Occasional-primarily for team or stakeholder workshops.

Locations:

• Saint Petersburg, FL
• Denver, CO
• Memphis, TN
• Southfield, MI

Please note that this firm is not able to sponsor now or in the future.

Mid-Senior level

Full-time

Information Technology

Referrals increase your chances of interviewing at Selby Jennings by 2x

Apply BELOW