The Role
Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, financial modeling, and cost transparency. Develop scalable ELT/ETL architectures, data models, schemas, workflow orchestration, and validation processes across AWS, GCP, and Snowflake. Collaborate with product, engineering, analytics, and finance stakeholders to enable trusted, data-driven decisions. Support CI/CD, infrastructure as code, REST API integrations, and committed-use discount modeling.
Summary Generated by Built In
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.
Skills Required
- 4+ years of experience in data engineering roles
- Hands-on experience with SQL, Python, Spark, and Scala
- Hands-on experience with dbt, Airflow, and Dagster
- Hands-on experience with AWS Glue, Aurora, Athena, GCP, and Snowflake
- Experience architecting and enhancing maintainable end-to-end ELT/ETL pipelines, including data modeling and schema maturity
- Exposure to CI/CD development processes, Terraform, and REST API programming
- Strong attention to detail, analytical skills, data auditing, and end-to-end validation skills
- Ability to explain technical concepts to non-technical audiences
- Upper-intermediate English level
- Experience with FinOps teams or cost optimization duties
- FinOps Practitioner or FinOps Engineer certification
- Experience with Datadog API endpoints
- Experience with Go
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
