APPLYDJINN
Vacancy catalog
AgileEngine
Open role>14 days

Senior Data Engineer

AgileEngineArgentina; Colombia; Guatemala; United States
Work model
Remote
Experience
4+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
14 tags

Technology context

14

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSPythonGCPdbtSparkAPITerraformSnowflakeRESTCI/CDScalaSQLAirflow

Full listing

Role description

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