Azure Data Engineer - Pyspark & Synapse Pipelines

Bluelight Consulting, Llc; Buenos Aires; On-site; ARS 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Annual learning budget

Flexible hours

Remote work 100%

Competitive compensation

Global teams

Job summary

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Senior Data Engineer to design and maintain automated data pipelines supporting cloud cost visibility and attribution. You will build scalable ELT/ETL workflows using SQL, Python, dbt, and Airflow across AWS services and Snowflake.

The role partners with Engineering and Finance to optimize data processing, performance, and cost, ensuring data quality and governance across end-to-end workflows in a global IT context.

Qualifications

• 4+ years in Data Engineering roles
• Strong SQL and Python
• Experience with cloud ELT/ETL pipelines
• Data modeling and large-scale data processing
• CI/CD, IaC (Terraform), and REST API integrations
• Experience with AWS data services (Glue, Athena, Aurora)
• English at an upper-intermediate level

Responsibilities

• Design and maintain data pipelines and automation systems for cloud costs and telemetry
• Build scalable data pipelines and datasets for visibility and attribution
• Develop data models and ingestion frameworks for large telemetry data
• Create tools enabling cost-aware decision-making across stakeholders
• Optimize pipelines for performance, reliability, and cost
• Collaborate with Engineering and Finance on cost optimization insights
• Ensure data quality, validation, and auditability across end-to-end workflows

Skills

SQL

Python

ELT/ETL

Data modeling

CI/CD

REST API

Airflow

dbt

Dagster

Terraform

Data validation

English

Education

BS in Computer Science / related field

Tools

dbt

Airflow

Dagster

Terraform

Snowflake

AWS Glue

Amazon Athena

Amazon Aurora

Job description

Location

Buenos Aires, Buenos Aires, Argentina

Contract

Full time

Role Level

R

Role Overview

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

Company

GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.

Responsibilities

• Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
• Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
• Responsible for normalizing and ingesting data from multiple sources.
• Enable data scientists, making data available for advanced analytics models, and contributing to models.
• Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
• Contributing to the inner source development of foundational tools, and/or the deployment of technical services.

Required Qualifications

• BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
• +5 years in Data Engineer Role
• Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
• Analytical thinking, Consulting, Critical Thinking

Relocation Options

Relocation may be considered.

International Considerations

Expatriate assignments will not be considered.

Visa Sponsorship

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

E-Verify

Chevron participates in E-Verify in certain locations as required by law.

About Chevron

Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .

Equal Opportunity

Chevron is an Equal Opportunity / Affi... Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.

Why Join Us

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.

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 Senior Data Engineer to design and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency. The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making.

What You Will Do

• Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
• Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
• Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
• Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.
• Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).
• Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.
• Ensure data quality, validation, and auditability across end-to-end data workflows.

Must Haves

• 4+ years of experience in Data Engineering roles.
• Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments.
• Strong SQL and Python.
• Experience with orchestration tools such as dbt, Airflow, or Dagster.
• AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora.
• Experience with Snowflake.
• Strong data modeling and large-scale data processing experience.
• Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations.
• Demonstrated ability to optimize data pipelines for performance and cost.
• Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.
• Upper-intermediate English level.

Nice To Haves

• FinOps Foundation Certification (Practitioner or Engineer).
• Experience with cloud cost optimization, tagging strategies, or cost monitoring.
• Experience with AWS and GCP. Experience with Datadog.
• Background in data platform or shared infrastructure engineering.

Perks and Benefits

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget.
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews.
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm.
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands.
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized.
• Well-being & support: access local well-being programs and people-focused support tailored to your location.