Senior Data Engineer ID82269

AgileEngine; Rio de Janeiro; À distance; BRL 489 000 - 761 000; Plein temps

Avantages offerts par ce poste

Professional growth

USD-based compensation

Exciting projects

Flextime

Résumé du poste

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 teams to drive data-driven decisions and cost transparency.

Join a people-first culture with opportunities for growth and exposure to Fortune 500 brands and cutting-edge analytics. This role offers flexible work arrangements and USD-based compensation.

Qualifications

• 4+ years of Data Engineering experience.
• Proficient in SQL, Python, Spark and Scala.
• Experience with orchestration tools dbt, Airflow and Dagster.
• Hands-on with AWS, GCP and Snowflake.
• End-to-end ELT/ETL pipelines design and data modeling.
• CI/CD, IaC and REST API programming.
• Strong attention to detail and data auditing.
• Ability to explain complex concepts to non-technical audiences.
• Upper-intermediate English.

Responsabilités

• Develop tooling and datasets for telemetry-driven cost attribution and financial modeling.
• Build data pipelines that surface cost transparency and optimization opportunities and support discount modeling.

Connaissances

Data Eng experience

SQL

Python

Spark

Scala

ELT/ETL pipelines

Data modeling

CI/CD

REST API

Upper-intermediate English

Outils

dbt

Airflow

Dagster

AWS

GCP

Snowflake

Terraform

Description du poste

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.