About the role

We are looking for a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling.

The mandatory requirements are 4+ years in Data Engineering, strong SQL, Python, Spark, and Scala skills, experience with dbt, Airflow, Dagster, AWS, GCP, and Snowflake, plus ELT/ETL, CI/CD, Terraform, and REST APIs. FinOps experience, Datadog, Go, and certification are a plus.

Must haves

  • 4+ years of experience in Data Engineering roles.
  • Hands-on experience with SQL, Python, Spark, and Scala.
  • Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
  • Hands-on experience with AWS (Glue, Aurora, Athena), GCP, and Snowflake.
  • Experience architecting and enhancing the long-term maintainability of end-to-end ELT/ETL data pipelines, including data modeling and schema maturity.
  • Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.
  • Strong attention to detail, analytical skill, and comprehensive data auditing and end-to-end validation skills.
  • Ability to explain technical concepts to non-technical audiences.
  • Upper-intermediate English level.

Nice to haves

  • Experience with FinOps teams or cost optimization job duties.
  • FinOps Practitioner or FinOps Engineer certification.
  • Experience with Datadog API endpoints.
  • Experience with Go.

What you will do

  • Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.
  • Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management.

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?

Want more details? See full FAQ

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

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