Is the Senior Data Engineer (VM) role at Bluecoding remote?

Yes, the Senior Data Engineer (VM) role at Bluecoding is a remote position.

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Senior Data Engineer (VM)

BluecodingRemote Latam10h ago

Why Blue Coding?

At Blue Coding, we specialize in hiring excellent developers and amazing people from all over Latin America and other parts of the world. For the past 11 years, we’ve helped cutting-edge companies in the United States and Canada build great development teams and develop great products. Large multinationals, digital agencies, Saas providers, and software consulting firms are just a few of our clients. Our team of over 150 engineers, project managers, QA, UX/UI designers, and many more is distributed in more than 10 countries across the Americas. We are a fully remote company working with a wide array of technologies, and we have expertise in every stage of the software development process.

Our team is highly connected, united, and culturally diverse, and our collaborators are involved in many initiatives around the world, from wildlife preservation to volunteering at local charities. We stand for honesty, fairness, respect, efficiency, hard work, and cooperation.

What are we looking for?

In this opportunity, we are looking for a Senior Data Engineer to work with one of our foreign clients, a market leader in the consultation, design, procurement, implementation, and ongoing managed services for technology services for mid to large global enterprises. As a Telecom Managed Service company, they partner with over 300 service providers globally to help customers with technology design and find the best solutions to meet their needs.

Our client is building a modern, cost-efficient data warehouse on Amazon Redshift, AWS Glue, and S3—replacing legacy ETL processes. We need a hands-on Data Engineer who can design, build, and optimize our cloud data pipelines while guiding best practices for a small team. This role is critical in migrating from SQL Server to Redshift, implementing scalable ETL with AWS Glue, and enabling self-service analytics. You’ll work closely with BI and business teams to turn raw data into reliable insights.

If you are independent, a great communicator, a problem solver, and have a strong attention to detail, this is a great fit for you! Our jobs are fully remote – as long as you have the skills and can get the work done well, you can work anywhere in the listed countries you want.

Here are some of the exciting day-to-day challenges you will face in this role:

Design & implement a modern data warehouse using Amazon Redshift, ensuring scalability and performance.

Develop and maintain ETL pipelines using AWS Glue (Python/PySpark), moving data from SQL Server (RDS) and other sources.

Structure our S3 data lake for efficient storage, partitioning, and integration with Redshift.

Define data models (star schema, dimensional modeling) to support reporting and analytics.

Establish data governance—documentation, quality checks, and monitoring for pipelines.

Collaborate with BI teams to ensure the warehouse meets reporting needs (CRM, dashboards).

Optimize costs by tuning Redshift clusters, managing Glue job efficiency, and automating workflows.

Troubleshoot data infrastructure issues and optimize performance across systems.

Contribute to the long-term vision for the data platform, including new tools, workflows, and process automation.

Maintain documentation of data systems, flows, and integration strategies.

Support project planning and estimation in coordination with business and technical teams

You will shine if you have:

Bachelor's degree in Computer Science or a related field, or equivalent work experience.

5+ of related work experience in data engineering, data architecture or a similar role.

Strong SQL & Python skills (PySpark is a plus).

Experience building ETL pipelines (preferably in AWS Glue, Airflow, or similar).

Knowledge of data modeling (e.g., star schema, slowly changing dimensions).

Ability to lead technical decisions without heavy oversight (small team environment).

Budget-conscious mindset—experience optimizing cloud costs (Redshift, Glue).

Excellent problem-solving and analytical skills.

Strong organizational skills and attention to detail.

Effective time management skills.

Here are some of the perks we offer you:

Salary in USD

Long-term

Flexible schedule (within US Time zones)

100% Remote

Ready to learn more? Apply below!

Senior Data Engineer (VM)

Here are some of the exciting day-to-day challenges you will face in this role:

You will shine if you have:

Here are some of the perks we offer you:

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