remote
Forward Deployed Data Solution Engineer - accelerant
Software Engineer
Lead end‑to‑end data solution delivery, building scalable pipelines and ML models on AWS, while collaborating closely with clients to translate business needs into robust, production‑ready data services.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end data pipelines and ML models on AWS, ensuring high performance and reliability.
- Collaborate with cross‑functional teams and clients to gather requirements, translate them into technical specifications, and deliver actionable insights.
- Implement CI/CD workflows using Docker and Kubernetes to automate testing, deployment, and monitoring of data services.
- Optimize SQL queries and data storage solutions for large datasets, ensuring efficient data retrieval and processing.
- Provide technical mentorship and code reviews to junior engineers, fostering best practices in data engineering and software development.
Requirements
- 5+ years of experience in data engineering, with a strong background in Python, SQL, and AWS services (S3, Redshift, Glue, SageMaker).
- Proven track record of building and deploying production‑grade ML models and data pipelines.
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
- Strong collaboration skills and a client‑focused mindset.
Skills
pythonsqlawsmachine learningdockerkubernetes