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Senior Data Engineer

Eames Consulting United State
Remote
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AI Summary

Build and scale modern, AI-enabled data systems. Design scalable Python services and modern cloud-based data architectures. Work closely with product and engineering teams to solve meaningful, real-world problems.

Key Highlights
Building and shipping data products, APIs, and intelligent workflows
Designing scalable Python services and modern cloud-based data architectures
Working closely with product and engineering teams
Key Responsibilities
Building and shipping data products, APIs, and intelligent workflows
Designing scalable Python services and modern cloud-based data architectures
Developing batch and streaming pipelines across structured and unstructured data
Using AI tools to accelerate development, testing, and debugging
Owning performance, reliability, and system quality end-to-end
Working closely with product and engineering teams to solve meaningful, real-world problems
Technical Skills Required
Python Amazon Web Services SQL
Benefits & Perks
Real ownership and impact
Strong engineering culture
Fully remote work

Job Description


Senior Data Engineer

Location: Remote (EST)


I’m working with a high-caliber, product-focused engineering team that’s hiring a Senior Data Engineer to help build and scale modern, AI-enabled data systems.

This is not a traditional data role. The team operates in small, fast-moving squads where engineers own problems end-to-end and ship real products, not just pipelines.

They’re deeply invested in using AI across the development lifecycle to move faster and build better systems, but still expect strong engineering fundamentals and ownership over what goes into production.


What you’d be doing

  • Building and shipping data products, APIs, and intelligent workflows used in real customer-facing systems
  • Designing scalable Python services and modern cloud-based data architectures
  • Developing batch and streaming pipelines across structured and unstructured data
  • Using AI tools to accelerate development, testing, and debugging
  • Owning performance, reliability, and system quality end-to-end
  • Working closely with product and engineering teams to solve meaningful, real-world problems


What they’re looking for

  • Strong software engineering fundamentals with a focus on building production systems
  • Experience with Python, modern data platforms, and distributed data processing
  • Experience with batch and streaming architectures
  • Familiarity with Snowflake and AWS (or similar cloud environments)
  • Someone who takes ownership and is comfortable working in fast-moving environments
  • A builder mindset, able to take ambiguous problems and turn them into working systems
  • Interest in AI and how it can improve how software is built and operated


Tech stack (not exhaustive)

Python, Snowflake, AWS, Terraform, PostgreSQL, Docker, dbt


Why this role is interesting

  • Real ownership and impact, not siloed work
  • Strong engineering culture with a focus on building, not bureaucracy
  • AI is actually embedded in how the team works, not just a buzzword
  • Modern stack and real product exposure
  • Fully remote across EST


If you’re interested in learning more, apply here or feel free to reach out directly lediana.domi@eamesconsulting.com


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