Databricks Data Engineer: ETL/Pipelines & AI-Ready Data

VAS; United States; On-site; USD 95,000 - 125,000; Full time

Job summary

VAS is seeking a Data Engineer to design, build, and improve data solutions supporting our global business. You will work primarily in Databricks to develop and maintain pipelines and datasets powering reporting, analytics, and AI/ML workloads.

The role spans modern and traditional data technologies, focusing on performance, reliability, data quality, and scalability. A strong grounding in data engineering and experience with Databricks and SQL Server is required.

Qualifications

• Bachelor's degree required in Computer Science, Information Systems or related field.
• Strong hands-on Databricks experience with Python, Spark, and Delta Lake.
• Solid SQL Server and data warehousing experience, including T-SQL.
• Experience with SSIS and SSRS.
• Experience with Microsoft Azure; Microsoft Fabric is a plus.
• Experience using AI-assisted development tools in engineering workflows.
• Strong analytical, problem-solving, communication, and collaboration skills.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines in Databricks using Python, Spark, and SQL.
• Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.
• Troubleshoot and optimize Databricks and data integration processes for performance and data latency.
• Support and enhance SQL Server, SSIS, and SSRS solutions while modernizing the platform.
• Implement data quality checks and data warehousing best practices across pipelines and reporting environments.
• Integrate Databricks with enterprise applications, databases, and other data sources.
• Partner with business users, analysts, and IT to translate data needs into scalable technical solutions.
• Contribute to continuous improvement through emerging data engineering practices and documentation.]
• COMPANY NAME: VASKEY POINTS: Databricks, ETL pipelines, Azure data environment, AI/ML workloads

Skills

Databricks

Python

Spark

Delta Lake

SQL Server

SSIS

SSRS

Azure

AI-assisted tools

Data warehousing

T-SQL

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

SSIS

SSRS

Azure

Job description

VAS is seeking a Data Engineer to design, build, and improve data solutions supporting our global business. You will work primarily in Databricks to develop and maintain pipelines and datasets powering reporting, analytics, and AI/ML workloads.

The role spans modern and traditional data technologies, focusing on performance, reliability, data quality, and scalability. A strong grounding in data engineering and experience with Databricks and SQL Server is required.