Sr Data Solutions Engineer

We’re looking for a hands-on Senior Data Engineer to take a leading role in architecting, designing, building, and evolving our AWS-based data platform. This is not a maintenance role-you’ll have meaningful technical ownership and influence over how data is architected, processed, and delivered across our systems and product suite.

You’ll tackle large-scale, complex data challenges while driving architectural decisions, establishing engineering best practices, and designing solutions for scalability, reliability, performance, and cost efficiency. As a senior member of the team, you’ll collaborate across engineering and product, provide technical guidance and mentorship, and help shape the evolution of our platform toward a more modern, scalable, and intelligent data architecture., Analyze large, and complex, data sets

Design, develop and coordinate the generation of Data Pipelines

Work collaboratively with team to plan and solve complex problems

Design for, or optimize existing pipelines, for performance and cost

Expert Python & SQL Developer

Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)

Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)

Strong Automation Experience

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)

Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)

Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases

Experience with Automotive Data / Industry

Experience with Agile / Scrum

qualifications:

Required Experience (Must Have)

• Expert Python & SQL Developer

• Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)

• Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)

• Strong Automation Experience

• Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)

• Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

• Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

• Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)

• Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)

• Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases

• Experience with Automotive Data / Industry

• Experience with Agile / Scrum

skills:

AWS-based,data platform,intelligent data,reliability,architecting,architecture,maintenance,mentorship,scalability,designing solutions,cost efficiency