Databricks Data Engineer

Databricks Data Engineer

• Remote (Latin America-based)

• Compensation: $3,500–$4,500 USD/month

• Full-time, Contractor

• Tech Stack: Databricks, SQL, Python, Delta Lake, Spark, Unity Catalog, dbt, DLT, AWS, Azure, Git

At Near, we connect top talent in Latin America with exciting remote opportunities at U.S.-based companies. Our mission is to create better lives by fostering a remote work culture that transcends borders.

About the Company:

Our client is an innovative cloud and data solutions consultancy, helping mid-market companies build modern technology solutions that create meaningful impact. Their work supports organizations across industries such as energy, healthcare, education, smart cities, analytics, and machine learning. With innovation, collaboration, and strong technology partnerships at their core, they are transforming how businesses use cloud and data solutions to scale and operate more effectively.

About the Role:

We’re looking for a Databricks Data Engineer who combines technical mastery with strong communication skills and a proactive mindset. You’ll build robust and scalable data pipelines on the Databricks platform and help support high-quality analytics and machine learning solutions for client projects. You’ll collaborate with client-facing teams and internal stakeholders to deliver reliable, production-grade data workflows. This role requires someone who is adaptable, solution-oriented, confident in communication, and comfortable working in a consulting-style environment.

You Will:

• Design and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation

• Develop and maintain production-grade workflows in Databricks using Delta Lake, Spark notebooks, and Unity Catalog

• Work with structured, semi-structured, and unstructured data across different environments

• Source and integrate data from flat files, databases, APIs, and streams

• Build and optimize ETL/ELT pipelines in cloud and distributed computing environments

• Collaborate with cross-functional teams and client stakeholders to translate data requirements into actionable solutions

• Perform data quality checks and implement validation logic to ensure reliable outputs

• Support analytics and machine learning use cases with scalable data foundations

• Create basic visualizations for validation, exploration, and stakeholder communication

• Contribute to a team culture that values learning, adaptability, and AI adoption

About You:

Your Background:

• 3+ years of hands-on production experience with Databricks in data engineering roles

• Strong experience with SQL and Python

• Hands-on experience with Databricks tools such as Delta Lake, Spark notebooks, and Unity Catalog

• Strong understanding of ETL/ELT processes and pipeline orchestration

• Experience with data transformation tools/frameworks such as dbt, DLT, Apache Spark, or similar

• Familiarity with cloud data platforms such as AWS or Azure

• Strong communication skills and strong English — comfortable in a distributed, client-facing environment

• Comfortable working directly with clients and representing the team professionally

• Proactive, growth-minded, and eager to continue expanding your skill set

• Open to working in an AI-forward environment and using AI tools in your workflow

Nice to Have:

• Prior experience in a consulting or client-facing role

• Advanced Databricks experience including Workflows/Jobs, Lakeflow Connect, Delta Live Tables, and performance tuning at scale

• Experience with DataOps tools and practices, including Databricks Asset Bundles (DABs) and Git/version control

• Experience with modern data and ML workflow tools such as Airflow or MLflow

• Familiarity with data visualization tools or libraries such as matplotlib, Power BI, or Tableau

• Understanding of best practices in data modeling, data quality, and pipeline monitoring

• Experience working with analytics or machine learning data environments

Compensation & Benefits:

• Compensation: $3,500–$4,500 USD/month

• Benefits:

  • 10 paid business days off per year, accrued after a 90-day probationary period

  • Local holidays observed

  • Six-month initial contract with expected extension

  • Long-term growth potential for strong performers