Senior Data Engineer for Indeed ID82269

AgileEngine

• $110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in Data Engineering roles
  • Hands-on experience with SQL, Python, Spark, and Scala
  • Experience with workflow orchestration tools like dbt, Airflow, and Dagster
  • Proficiency in AWS, GCP, and Snowflake technologies
  • Strong attention to detail with skills in data auditing and validation
  • Ability to communicate technical concepts to non-technical audiences
  • Upper-intermediate English level

Responsibilities

  • Develop and implement data tooling for cost attribution and financial modeling
  • Build and maintain data pipelines for cost transparency and optimization
  • Support committed use discount modeling
  • Enhance the long-term maintainability of ELT/ETL data pipelines
  • Collaborate with product, engineering, analyst, and finance stakeholders for data-driven decisions

Benefits

  • Accelerate your professional journey with mentorship and personalized growth plans
  • Competitive compensation with budgets for education and fitness
  • Engage in exciting projects with Fortune 500 clients
  • Flexible work schedule options including remote work
Full Job Description
Job Description
ABOUT THE ROLE

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

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.

MUST HAVES

- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;

- 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.

PERKS AND BENEFITS

- 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.

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