Senior Data Engineer (Databricks)

Location: 100% remote, United States based; candidates must reside in the continental United States. Standard business hours align with the Eastern Time Zone. Occasional travel to client sites or meetings may be required.

Salary: $115,000–$160,000 USD annually.

Company

hirify.global is a federal contractor delivering technology and engineering solutions for critical missions, including a U.S. Navy customer program.

What you will do

• Develop, implement, integrate, and sustain secure enterprise data architectures, data hubs, data lakes, and data warehouses for the Department of the Navy MAHRS program.
• Design data models, data structures, acquisition processes, ETL/ELT pipelines, and transformation workflows for the HC/HR Data Domain.
• Build and optimize batch and streaming data solutions using Python, Spark, Databricks, Kafka, AWS, and Palantir Foundry.
• Configure and manage Databricks clusters, Delta Lake solutions, Kafka topics, Schema Registry, and cloud-based processing environments.
• Implement data quality controls, validation, testing, lifecycle policies, monitoring, troubleshooting, and performance improvements.
• Collaborate with technical leaders, stakeholders, and multidisciplinary teams while communicating technology benefits and constraints.

Requirements

• 5+ years of IT experience focused on enterprise data engineering, including data modeling, data quality, data mapping tools, and technical documentation.
• Must be eligible to obtain and maintain a Secret security clearance; United States citizenship is required for this eligibility.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related IT field.
• Professional experience with data architecture, data engineering, data hubs, data lakes, and/or data warehouses, including enterprise-scale and high-performance data applications.
• Hands-on experience with Databricks and experience with Python and SQL for data engineering and data processing.
• Experience with ETL/ELT, data integration, migration, transformation, data modeling, data mapping, data quality, and data management.
• Experience with Apache Spark and/or PySpark, including Spark SQL, DataFrames, and/or Data Sets; batch and streaming architectures; Kafka and/or distributed streaming technologies; and Kafka Streams.
• Experience with AWS cloud services such as S3, Lambda, Kinesis, and/or DynamoDB, plus Git-based version control.
• Ability to troubleshoot complex technical issues, work in a team-based environment, communicate effectively in writing and verbally, and brief technical solutions to stakeholders and senior management.

Nice to have

• Active CompTIA Security+ or CompTIA Network+ certification. If selected without the required certification, CompTIA Security+ must be obtained before beginning program support.
• Experience with Palantir Foundry, including ontologies, ETL/ELT pipelines, applications, and data-driven user interfaces.
• Experience with Jupiter data and analytics environment, especially in the HC/HR Data Domain.
• Experience with CI/CD pipelines and cloud monitoring tools such as Jenkins, Docker, and/or CloudWatch.

Culture & Benefits

• Full-time employment with flexible scheduling options and remote work opportunities.
• Nationwide medical, dental, and vision insurance, life insurance, short- and long-term disability coverage, and supplemental insurance options.
• Three weeks of paid time off, 11 paid federal holidays, 401(k) matching, and flexible spending accounts.
• Wellness incentives and reimbursement for professional development and certifications.
• Training assistance opportunities supporting career growth and progression.
• The role involves extended computer-based work, occasional lifting of up to 20 pounds, and may require work in a fast-paced environment.

Hiring process

• Applications are reviewed as received and accepted continuously until the position is filled; early application is encouraged.
• Employment is contingent on completing pre-employment requirements, including identity and United States work authorization verification through E-Verify.