About the role

We are looking for a Senior Data Engineer to own ingestion, pipeline orchestration, and the Single Source of Truth architecture for new product modules. You will build containerized data pipelines on AWS, integrate directly with AI APIs, and manage the data lifecycle from extraction through user acceptance testing. This role requires strong autonomy, since it operates without dedicated QA support during the initial build phase.

What you will do

  • Construct the core ingestion pipelines to pull high-volume metrics from the YouTube Data API, YouTube Creator API, Google Trends, and Later Social into the AWS S3/Glue/Athena SSoT.
  • Write and maintain containerized Python workers (RQ/Celery with Redis) on EKS to handle data processing.
  • Work directly with the Bedrock LLM layer and internal SDKs to ensure data flows seamlessly into the AI orchestration/scoring layer.
  • Extend existing Python SDKs (e.g., gads-audience-insights) to cover new services like the ContentCreatorInsightsService.
  • Own the User Acceptance Testing (UAT) for the data layer, ensuring high quality and catching edge cases without relying on a dedicated QA team.
  • Work alongside Kepler's internal DevOps/platform teams for CI/CD (GitHub Actions, ArgoCD) and IaC (Terraform), adapting quickly to their internal standards.

Must haves

  • 5+ years of heavy Data Engineering or Backend experience focused heavily on data pipelines and infrastructure.
  • Expert-level Python skills, specifically in building containerized microservices and workers (ECS/EKS).
  • Deep experience with AWS data infrastructure, specifically S3, AWS Glue, and Amazon Athena.
  • Proven, hands-on experience integrating AI APIs (specifically AWS Bedrock, Claude, or Gemini) and handling external data firehoses.
  • High comfort level working in a Mac/Linux terminal environment (Bash, Makefiles).
  • Strong communication and interview skills; you must be able to confidently defend your technical choices and pass a rigorous, high-bar technical interview.
  • Extreme pragmatism and patience when dealing with cross-team dependencies (like waiting on client DevOps for access/provisioning).
  • Proficiency with AI-assisted development tools and agentic coding workflows to accelerate engineering productivity.
  • Upper-intermediate English level.

Nice to haves

  • Experience with Auth0 and openfga for ReBAC/RBAC implementation.
  • Worked on marketing specific pipelines, building audiences, providing metrics and sourcing data for Analytics/BI.

Perks

  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location

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Hiring process timeline

We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.

lightning-iconA quick note

After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.

1

Tell us about yourself

Submit a short application form.

2

Pass a quick test

Pass a 30’- 60’ test.

3

Record a short video

Introduce yourself on video to fast-track your application process.

4

Meet our team

Once you pass the video review, grab a spot on our calendar for a technical interview.

5

Get an offer

Welcome to AgileEngine!

FAQ

Have any questions?

What is the work format and schedule?

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.

What level of English is required?

We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.

Does AgileEngine provide work equipment?

It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.

What opportunities for professional growth do you offer?

We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:

  • An annual learning and development budget
  • Internal workshops, tech talks, and mentorship programs
  • Opportunities to switch projects or grow into new roles over time

What does a typical team look like, and what tools do you use?

Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.

For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.

Need help?

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