Data Engineer (Databricks)

Location: Remote within the United States; up to 5% travel. U.S. Citizenship is required, and the role requires the ability to obtain a U.S. Public Trust suitability determination.

Company

hirify.global is a purpose-driven consulting company delivering mission-focused technology and data solutions for clients.

What you will do

• Develop, test, deploy, and maintain batch and streaming data pipelines using Databricks, Python, SQL, Apache Spark, and Delta Lake.
• Build ingestion, transformation, validation, and publishing processes for governed data products and analytics-ready datasets.
• Implement data models, data-quality rules, metadata, documentation, and source-to-target mappings.
• Configure and maintain Databricks notebooks, workflows, jobs, compute resources, and deployment artifacts.
• Monitor pipeline performance, job execution, data quality, and platform alerts while troubleshooting production incidents.
• Collaborate with architects, analysts, data owners, and engineers on requirements, dependencies, releases, and continuous improvements.

Requirements

• Bachelor’s degree in a technical discipline and at least three years of relevant experience in data engineering, software engineering, analytics engineering, or a related field.
• Proficiency in Python and SQL, including ETL/ELT development, debugging, and maintenance.
• At least one year of hands-on experience with Databricks, Apache Spark, or a comparable cloud data-engineering platform.
• Experience with structured or unstructured data, data validation, production support, and data-processing code.
• Databricks Certified Data Engineer Associate certification is preferred; candidates without it must be willing to obtain it within three months of starting.
• U.S. Citizenship and the ability to obtain a U.S. Public Trust suitability determination are required.

Nice to have

• Experience with Delta Lake, Auto Loader, Databricks SQL, Lakeflow Jobs, Unity Catalog, or streaming data pipelines.
• Familiarity with Git, code reviews, automated testing, CI/CD, and Agile delivery.
• Experience with data governance, metadata, data-quality checks, lineage, and access controls.
• Experience with AWS, Azure, Google Cloud, regulated data, public-sector environments, or security-sensitive systems.
• Additional Databricks certifications, including Machine Learning Engineer or Generative AI Engineer certifications.

Culture & Benefits

• Inclusive culture centered on passion, solidarity, generosity, curiosity, boldness, and authenticity.
• Generous paid time off and federal holidays.
• Parental leave and comprehensive medical, dental, vision, life, and disability coverage.
• 401(k) with company match and FSA/HSA options.
• Commuter benefits and a remote work arrangement with limited travel.