Senior Data Engineer - Remote, Databricks & Data Governance

Arionkoder; Quilmes; Hybrid; ARS 185,357,000 - 247,142,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will collaborate with product, engineering, analyst, and finance stakeholders to deliver reliable data and data-driven insights.

Join a people-first culture and work on modern tech with SQL, Python, Spark, and Scala, along with dbt, Airflow, Dagster, and cloud data platforms like AWS, GCP, and Snowflake. Flextime and competitive USD-based compensation await.

Qualifications

• 4+ years of experience in Data Engineering roles.

Responsibilities

• Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling.
• Build and maintain data pipelines and tooling that provide cost transparency and surface optimization opportunities.

Skills

Data engineering

SQL

Python

Spark

Scala

ELT/ETL

Data modeling

Data auditing

Explain concepts

Tools

dbt

Airflow

Dagster

AWS

Glue

Aurora

Athena

GCP

Snowflake

Terraform

REST 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 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, with options for working from home or in the office.

We look forward to hearing from you and exploring how your expertise can help us continue delivering high-impact data solutions.