Data Engineer (FinOps) ID56348

Department: Engineering
Specialization: Data Engineer
Experience: Senior
Technologies: Python SQL
Client: Indeed
Technical flow: Data Engineer Python
Engineering technical flow: Data Engineer Python
Non-engineering technical flow: none
  • What you will do

  • Design, develop, and implement tooling and datasets for telemetry-driven cost attribution and financial modeling;
  • Build and maintain scalable data pipelines and automation frameworks for cost transparency and optimization;
  • Develop systems to identify cost-saving opportunities and support discount modeling and management;
  • Ensure data accuracy and reliability through validation, auditing, and observability;
  • Collaborate with Product, Engineering, Finance, and Analytics stakeholders;
  • Improve scalability, performance, and reliability of ELT and ETL pipelines;
  • Support and enhance CI/CD processes and infrastructure automation.
  • Must haves

  • 4+ years of experience in FinOps, Cloud Engineering, or Data Engineering;
  • Strong experience with SQL and Python;
  • Experience with workflow orchestration tools such as dbt, Airflow, or Dagster;
  • Experience designing and maintaining ELT/ETL pipelines;
  • Strong background in data modeling and schema design;
  • Experience with AWS services and Snowflake;
  • Familiarity with CI/CD pipelines and Infrastructure as Code such as Terraform;
  • Experience building and consuming REST APIs;
  • Hands-on experience with cloud platforms such as AWS or GCP and observability tools like Datadog;
  • Strong analytical skills with focus on data auditing and validation;
  • FinOps certification;
  • Upper-intermediate English level.
  • Nice to haves

  • Experience with Scala;
  • Experience with large-scale datasets and distributed systems;
  • Understanding of cloud cost optimization strategies;
  • Experience in data-driven and cross-functional environments.

As a Data Engineer (FinOps), you will build and scale data solutions that drive cost transparency and performance optimization across cloud environments. Leveraging SQL, Python, and modern orchestration tools, you’ll develop pipelines, datasets, and automation frameworks that enable accurate cost attribution and informed financial decision-making. This role offers strong cross-functional impact, working with Product, Engineering, and Finance to uncover cost-saving opportunities and shape scalable, data-driven FinOps practices.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Your AgileEngine journey starts here

1

2 min

Tell us about yourself

2

2 sec

Confirm requirements

3

30 - 60 min

Pass a short test

4

5 min

Record a short video

→ Introduce yourself on a video, instead of waiting for an interview

5

Live interview

Ace the technical interview with our team

→ Schedule a call yourself right away after your video is reviewed

6

Live interview

Final interview with your team

→ Get to know the team you will be working with

7

Get an offer

As quick as possible

Our geography

UTC-5
WASHINGTON DC USA
UTC-5
MIAMI USA
UTC-6
MEXICOMexico
UTC-5
ColombiaColombia
UTC-3
BrazilBrazil
UTC-3
ArgentinaArgentina
UTC+2
UkraineEurope
UTC+1
PolandEurope
UTC+0
PortugalPortugal
UTC+5:30
IndiaIndia

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