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AgileEngine

Senior Data Engineer for Indeed ID82269

Posted 3 days ago
2-5 years experience
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AI Summary

Develop and maintain data pipelines and tooling for cost attribution, performance-informed financial modeling, and optimization. Enable stakeholders to make data-driven decisions by ensuring data trust and transparency.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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
- 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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