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AgileEngine

Senior Data Engineer ID82269

AgileEngine Siuna, North Caribbean Coast, Nicaragua

Software Development · 1,001-5,000 employees

Oct 06
Remote data-engineer Mid (2-5 yrs) Full-time Nicaragua
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About the role

Develop and implement data pipelines and tooling for cost attribution, performance-informed financial modeling, and data transparency. Maintain data infrastructure to support optimization opportunities and committed use discount management.

What they look for

SQL Python Spark Scala Dbt Airflow Dagster AWS GCP Snowflake ETL ELT Terraform REST API Data modeling CI/CD

Requirements

Requires 4+ years of experience in Data Engineering with proficiency in SQL, Python, Spark, and Scala. Candidates must have hands-on experience with workflow orchestration tools, cloud platforms like AWS/GCP, and CI/CD processes.

Benefits

Professional growth Mentorship TechTalks Personalized growth roadmaps Competitive compensation Education budget Fitness budget Team activities Flextime Work from home

Full description

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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