Data Engineer (Azure + AWS)

We are hiring a Data Engineer to power scalable data intelligence through high-impact cloud architectures.

MISSION

Plan, design, build and automate on-premise and cloud data architecture processes, working with ETL to enable the use of information for decision making. You will operate with technical autonomy building ETL/ELT pipelines, Medallion architectures on Delta Lake, data governance and CI/CD processes on Azure and AWS platforms, ensuring availability, quality and scalability of data in production. Your technical work directly impacts the availability, quality and traceability of the data behind our clients' analytical solutions.

RESPONSIBILITIES

1. Design and implement ETL/ELT pipelines

2. Cloud data architecture and data modeling

3. Data governance, data quality and Unity Catalog

4. CI/CD, databases and operations

5. Requirements gathering and multidisciplinary collaboration

6. Client advisory and identification of opportunities

7. Meeting performance and management indicators

8. Supporting business development opportunities

TECH STACK

Python, PySpark, SQL, Scala, NoSQL databases (Cosmos DB, MongoDB), Azure Data Factory, Azure Databricks, Unity Catalog, Microsoft Fabric, Azure Functions, DevOps CI/CD, IaC (Bicep/Terraform), Azure networking, AWS (Glue, S3, Lambda), and ML/AI models on Azure ML or Databricks. Azure Architect Expert is a plus.

REQUIRED CERTIFICATIONS (latest version; at least one required)

• AZ-104
• Databricks Data Engineer Associate
• DP-700
• DP-900

DESIRED CERTIFICATIONS (latest version)

• AWS Data Engineer
• AZ-400
• Databricks Data Engineer Professional
• DP-300
• DP-420

ADDITIONAL TRAINING

Courses, bootcamps or diplomas in advanced SQL, ER, PARQUET, Delta Lake, data architecture and governance, and AI agents.

LANGUAGES

• English: B2 or higher (native or fully fluent) - required
• Spanish: native or fully fluent - required

EDUCATION

Professional degree in Engineering, Statistics, Mathematics or related programs.

EXPERIENCE

5+ years of experience in Data Engineering, with a background of 5-7 years in roles related to Data Engineer (senior level).

VALUE COMPETENCIES

• Consultative leadership: acts as a trusted technical advisor to the client
• Leads strategic and crisis conversations with autonomy
• Aligns technical solutions with the client's business goals

This is a remote role (anywhere), full-time, contractor. Applications are handled directly through Wellfound.