Data Engineer (Databricks)

TL;DR

Data Engineer (Databricks/Python): Designing and maintaining data pipelines to drive organization-wide analytics with an accent on ETL/ELT processes and cloud infrastructure. Focus on building reliable datasets, optimizing data flow from various sources, and implementing data governance standards.

Location: Onsite in Arlington, VA

Salary: $110,000.00–$130,000.00

Company

hirify.global provides critical data-driven insights to help senior business leaders make strategic decisions.

What you will do

• Design, develop, and maintain data pipelines using Databricks.
• Build and optimize ETL/ELT processes to ingest, transform, and load data from various source systems.
• Collaborate with business analysts and data scientists to deliver reliable datasets.
• Monitor pipeline performance and troubleshoot data quality or processing issues.
• Develop and maintain data models, documentation, and metadata.
• Support data governance, security, and cloud-based data infrastructure management.

Requirements

• 3+ years of experience in data engineering, data integration, or related technical roles.
• Proficiency in SQL for querying large datasets and Python for data processing and automation.
• Strong understanding of ETL/ELT concepts and data pipeline development.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Basic knowledge of data warehousing concepts and dimensional modeling.
• Must be based in Arlington, VA

Nice to have

• Hands-on experience with Databricks.

Culture & Benefits

• Equal opportunity employment policy.
• Non-discrimination and diversity-focused work environment.