Forward Deployed Data Engineer
About The Position
Mecka AI is building the data infrastructure layer for robotics and embodied AI. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality. The Role We are hiring a Forward Deployed Data Engineer to operate on the frontier with customers: analyze messy, real-world data, turn it into beautiful, reliable datasets , and own the technical relationship end-to-end. This is a senior, high-trust role with significant autonomy. You’ll combine data engineering, analytics, and product judgment to deliver outcomes customers can ship on.
Requirements
- 7+ years in data engineering and/or backend engineering (or equivalent impact).
- Strong experience with large data systems, pipelines, and analytical workflows.
- Strong SQL proficiency and comfort across multiple database/storage paradigms.
- Excellent engineering judgment and debugging ability in production systems.
- You can translate ambiguous requirements into crisp dataset specs and execution plans.
Nice To Haves
- You’ve owned high-stakes customer deliveries with autonomy and trust.
- You have strong product instincts and care about polish: “would I trust this dataset?”
Responsibilities
- Own the end-to-end delivery of customer datasets: requirements → validation → iteration → final handoff.
- Be the technical point of contact: communicate clearly, set expectations, and close loops.
- Turn customer needs into durable internal improvements (tooling, pipelines, standards).
- Build and debug data pipelines across ingestion, transformation, QA, and export.
- Work across storage and database types (SQL + NoSQL + object storage) and choose the right tool for the job.
- Create reliable dataset “contracts”: schemas, versioning, provenance, and reproducible builds.
- Analyze data distributions, identify gaps, and recommend what to collect/fix next.
- Build quality checks and acceptance criteria (coverage, consistency, integrity, edge cases).
- Deliver datasets that are clean, documented, and usable by research and engineering teams immediately.
Benefits
- High autonomy, high trust, and direct impact on customer success and revenue.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
