Senior Data Engineer - Etl (Python, Bigquery) | Remote

Bluelight Consulting, Llc; Rosario; Hybrid; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Projects with Fortune 500 clients

Flextime

Job summary

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will enable stakeholders to make data-driven decisions and trust the data, while ensuring end-to-end ELT/ETL integrity.

The role emphasizes hands-on development with SQL, Python, Spark, Scala, and modern orchestration tools, plus AWS, GCP, and Snowflake experience. Remote-friendly with flextime and opportunities to work from home or office.

Qualifications

• 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 end-to-end ELT/ETL pipelines, data modeling, and schema maturity.
• Exposure to CI/CD, Infrastructure as Code (Terraform), and REST API programming.
• Strong data auditing, validation skills, and ability to explain technical concepts to non-technical audiences.

Responsibilities

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

Skills

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

REST API

Terraform

Tools

Glue

Aurora

Athena

Datadog

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.

Data Engineer

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.

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.