Data Engineer Analyst: Aws Data Lakes & Spark Pipelines

Blend; Ciudad de Mendoza; Hybrid; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Professional growth

Competitive 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 design resilient pipelines in Python, leverage Medallion architecture concepts, and work with open storage formats across cloud platforms to empower product, analytics, and finance teams with trustworthy data.

Qualifications

• 4+ years in Data Engineering roles.
• Proficient in SQL, Python, Spark, and Scala.
• Experience with data pipelines and analytics.
• Familiar with Databricks / PySpark.

Responsibilities

• Develop tooling and datasets for cost attribution and financial modeling.
• Build data pipelines and tooling for cost transparency, surface optimization opportunities and support discounted modeling.
• Provide data-informed insights to product, engineering, analyst and finance stakeholders.
• Maintain end-to-end ELT/ETL pipelines and data modeling.

Skills

SQL

Python

Spark

Scala

Databricks

PySpark

Tools

dbt

Airflow

Dagster

AWS Glue

Aurora

Athena

Snowflake

GCP

Job description

The Role: Builds performant data processing pipelines, manages relational databases, and constructs cloud-portable data lake environments using modern open storage formats and embedded analytical

engines.

Responsibilities: Pipeline Design: Construct resilient data processing pipelines in Python using Medallion

architecture principles (Bronze/Silver/Gold) to transform raw data into analytics-ready assets.

Open Storage Management: Standardize data storage using open formats including Parquet,

Apache Iceberg, and Delta Lake to ensure cross-cloud compatibility.

Embedded Analytics: Leverage DuckDB integrated with Python for fast, lightweight, and

performant localized data processing within ETL workflows.

Database Operations: Architect and optimize production PostgreSQL schemas while utilizing

SQLite for embedded or lightweight localized storage needs.

Distributed Compute: Scale heavy ETL, data transformation, and analytics workloads using

Databricks or Apache Spark

Requirements:

Advanced SQL proficiency with deep PostgreSQL expertise and working knowledge of SQLite.

Hands‑on experience building robust analytical pipelines using Python and DuckDB.

Mastery of open table and storage formats (Parquet, Apache Iceberg, Delta Lake).

Proven track record designing data lakes using the Medallion data processing architecture.

Familiarity with the Databricks / PySpark ecosystem for distributed processing.

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, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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.

…