Senior Data Engineer: Databricks Lakehouse & Cloud

Datavail; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Datavail is seeking a Data Engineer in the USA to join its Data Management Services practice. The role requires 8–12+ years in data engineering or architecture, with 4–5+ years delivering Databricks solutions and strong PySpark/SQL skills.

Experience with cloud platforms, data governance, and enterprise security is essential. Responsibilities include client-facing engagement, requirements discovery, solution design, and integrating data platforms with applications using APIs, services, or

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 8-12+ years in data engineering or architecture with Databricks delivery.
• Deep hands-on Databricks Lakehouse and Apache Spark experience.
• Proficient in PySpark, SQL, Delta Lake, and Databricks SQL.
• Experience with Unity Catalog, data governance, and enterprise security.

Responsibilities

• Engage clients to understand requirements and design data solutions.
• Deliver Databricks-based data engineering solutions and dashboards.
• Collaborate with business stakeholders and technical teams for integration.

Skills

Strong communication skills

Client-facing experience

Requirements discovery

Solution design

Business stakeholder engagement

Education

Bachelor's Degree in Computer Science or related field

4+ years IT/Cloud infrastructure or consulting

Tools

Databricks

Apache Spark

PySpark

SQL

Delta Lake

Unity Catalog

Azure Databricks / AWS Databricks / GCP Databricks

CI/CD / DevOps

Cloud architecture concepts

API / service / event-driven integration

Job description

Datavail is seeking a Data Engineer in the USA to join its Data Management Services practice. The role requires 8–12+ years in data engineering or architecture, with 4–5+ years delivering Databricks solutions and strong PySpark/SQL skills.

Experience with cloud platforms, data governance, and enterprise security is essential. Responsibilities include client-facing engagement, requirements discovery, solution design, and integrating data platforms with applications using APIs, services, or