Senior Data Engineer ID82269

AgileEngine; Metropolitana; Hybrid; COP 284,783,000 - 411,353,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Data Engineer to design and implement data pipelines for cost attribution and financial modeling. You will enable product, engineering, analyst, and finance teams to make data-driven decisions by surfacing cost transparency and optimization opportunities.

The role emphasizes end-to-end ELT/ETL pipeline improvements, data modeling, and audit-ready datasets. You will work with cloud data platforms and modern orchestration tools in a collaborative, fast-paced

Qualifications

• 4+ years in data engineering roles
• Hands-on with SQL, Python, Spark, Scala
• Experience with dbt, Airflow, Dagster
• AWS (Glue, Aurora, Athena), GCP, Snowflake
• End-to-end ELT/ETL pipelines, data modeling
• CI/CD, Terraform, REST API programming
• Strong data auditing, validation, and attention to detail
• Able to explain concepts to non-technical audiences
• Upper-intermediate English

Responsibilities

• Develop tooling and datasets for cost attribution and financial modeling.
• Build and maintain data pipelines that provide cost transparency and optimize usage.

Skills

Data engineering

SQL

Python

Spark

Scala

Airflow

dbt

Dagster

AWS

GCP

Snowflake

ELT/ETL pipelines

CI/CD

Terraform

REST APIs

Data modeling

Data auditing

End-to-end validation

English (upper-intermediate)

Tools

Go

Job 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.