Senior Data Engineer — IntelliTech, Alexandria, VA

Benefits:

• 401(k)

• Competitive salary

• Dental insurance

• Flexible schedule

• Health insurance

• Opportunity for advancement

• Paid time off

• Training & development

• Vision insurance

Location: Remote

Clearance: Active DoD Secret clearance required

Citizenship: U.S. Citizenship required

IntelliTech is seeking a Senior Data Engineer to support a large-scale DoW data platform and analytics environment. In this role, you will design, build, maintain, and optimize scalable data pipelines and data products that enable mission-critical analytics, reporting, and downstream data use cases in a complex enterprise setting.

The ideal candidate brings strong hands-on experience with Databricks, PySpark, Python, SQL, and cloud-based data engineering, along with a proven ability to work across large data environments, integrate disparate data sources, and deliver reliable, secure, and high-performing data solutions.

Key Responsibilities

• Data Engineering and Pipeline Development

• Design, develop, and maintain scalable batch and streaming data pipelines supporting enterprise analytics and data operations.

• Build and optimize Databricks and PySpark workflows for ingestion, transformation, validation, and processing of large datasets.

• Develop robust ETL/ELT solutions across structured and unstructured data sources, including APIs, relational databases, NoSQL databases, and cloud storage.

• Support data modeling, pipeline orchestration, data quality, lineage, and performance tuning across the data lifecycle.

• Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP.

Collaboration and Delivery

• Collaborate with engineers, analysts, data scientists, and other stakeholders to support reporting, analytics, and AI/ML data preparation workflows.

• Integrate data pipelines into DevSecOps and CI/CD workflows and support secure, repeatable deployment practices.

• Troubleshoot pipeline failures, improve observability, and optimize the performance and reliability of enterprise data services.

• Contribute to technical documentation, engineering standards, and best practices for enterprise-scale data development.

• Operate effectively within Agile or SAFe delivery environments supporting mission systems.

Required Qualifications

• Active DoD Secret Clearance

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master's degree in a related field and 6+ years of relevant experience.

• Strong hands-on experience designing, building, and maintaining production-grade data pipelines and integration solutions.

• Strong experience with Databricks, Apache Spark, and PySpark in enterprise data environments.

• Strong programming skills in Python and SQL; experience with Java or similar languages is a plus.

• Experience implementing ETL/ELT pipelines and data integration processes across multiple sources and platforms.

• Experience with relational and non-relational databases, data modeling, and query optimization.

• Experience working in cloud-based data environments such as AWS, Azure, or GCP.

• Experience with source control, CI/CD pipelines, and modern software engineering practices.

• Ability to identify and resolve issues related to data quality, pipeline performance, and operational reliability.

• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.

Preferred Qualifications

• Experience supporting enterprise data platforms in DoD or other federal environments.

• Experience with data governance, metadata management, lineage, and access control concepts.

• Experience supporting AI/ML data preparation and feature engineering workflows.

• Experience with Airflow, Kafka, Docker, Kubernetes, or related orchestration and containerization technologies.

• Experience supporting data engineering solutions in secure or multi-environment enterprise settings.

• Relevant cloud or data engineering certifications.

Interview Process

• Video interview required and may include a technical assessment.

• Candidates should be prepared to discuss:

• Hands-on experience with Databricks, PySpark, Python, and SQL.

• Examples of pipelines or data applications built from the ground up.

• Large-scale data challenges solved in enterprise environments.

• Experience with cloud, ETL/ELT, and enterprise data engineering best practices.

Compensation And Benefits

IntelliTech is committed to fair and equitable compensation practices. The annual salary will be based on a variety of factors unique to each candidate, including job-related skills, relevant experience, certifications, training, and level of seniority. IntelliTech uses the full breadth of the salary range in making compensation decisions.

IntelliTech provides a comprehensive benefits package designed to support employees' well-being and professional growth, including health, dental, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance.

About IntelliTech

IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions.

Equal Opportunity Employer

At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

This is a remote position.