Senior Data Engineer — Cloud Ingestion & Pipelines (Remote)

Bluelight Consulting, Llc; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Mentorship and growth programs

Competitive USD-based compensation

Projects with Fortune 500 clients

Flexible work hours and work-from-home

Job summary

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will enable product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.

Responsibilities include developing datasets, pipelines, and tooling that provide cost transparency, surface optimization opportunities, and support discount modeling and management.

Qualifications

• 4+ years as a Data Engineer or similar role.
• Hands-on SQL, Python, Spark and Scala.
• Experience with workflow tools: dbt, Airflow, Dagster.
• Proficiency with AWS, GCP and Snowflake data platforms.
• Experience with end-to-end ELT/ETL design and data modeling.
• Familiar with CI/CD, Infrastructure as Code (Terraform) and REST APIs.
• Strong data auditing and validation capabilities.

Responsibilities

• Develop datasets and tooling for cost attribution and financial modeling.
• Build data pipelines to surface cost transparency and optimization opportunities.

Skills

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ETL/ELT design

CI/CD

Terraform

REST APIs

Tools

dbt

Airflow

Dagster

Terraform

Snowflake

AWS Glue/Aurora/Athena

Go

Datadog API

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 modelling 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.

NICE TO HAVES

• Experience with FinOps teams or cost optimisation 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.