About the role

We are looking for a Senior Data Engineer to design and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency. The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making.

What you will do

  • Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
  • Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
  • Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
  • Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.
  • Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).
  • Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.
  • Ensure data quality, validation, and auditability across end-to-end data workflows.

Must haves

  • 4+ years of experience in Data Engineering roles.
  • Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments.
  • Strong SQL and Python.
  • Experience with orchestration tools such as dbt, Airflow, or Dagster.
  • AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora.
  • Experience with Snowflake.
  • Strong data modeling and large-scale data processing experience.
  • Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations.
  • Demonstrated ability to optimize data pipelines for performance and cost.
  • Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.
  • Upper-intermediate English level.

Nice to haves

  • Scala experience.
  • FinOps Foundation Certification (Practitioner or Engineer).
  • Experience with cloud cost optimization, tagging strategies, or cost monitoring.
  • Experience with AWS and GCP. Experience with Datadog.
  • Background in data platform or shared infrastructure engineering.

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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If something doesn’t work or you have questions regarding your application process, drop us a line.

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