^E01 Data Engineer IV
Remote
Job Summary
Build, maintain, and optimize systems that collect, store, process, and convert raw data into usable formats for analytics and reporting. Manage internal and external data collection, normalization, and standard analysis across diverse platforms. Develop scalable data solutions, create policies ensuring data protection and quality, and investigate root-cause analyses for data quality issues. Process complex datasets, integrate innovative algorithms, and design projects focused on parsing, managing, and visualizing large datasets. Determine architecture needs, serve as a subject matter expert to define analytical approaches, and generate reports supporting business initiatives. Ensure 100% of planned hours are worked and recorded, meet contractual deliverables, and maintain productive relationships with clients.
Required Qualifications
- Active Secret clearance
- Bachelor's degree
- 8–10 years of experience
- Advanced expertise in designing, building, and maintaining data warehouses, pipelines, and large-scale distributed data systems
- Strong proficiency with modern database technologies, ETL/ELT frameworks, and big data tools
- Demonstrated ability to solve complex technical problems and develop innovative, scalable data solutions
- Experience applying data governance, quality management, metadata management, and security best practices
- Proficiency in programming languages commonly used in data engineering such as Python, SQL, or Scala
- Strong analytical and problem-solving skills with the ability to evaluate data from multiple systems and identify optimization opportunities
- Proven ability to collaborate with cross-functional teams and communicate technical concepts to non-technical audiences
- Experience with cloud data platforms (e.g., AWS, Azure, GCP), containerization, and modern DevOps practices
Desired Qualifications
- Experience integrating machine learning algorithms into production data systems
- Certification in cloud platforms, data engineering, or database technologies
- Experience with real-time data processing and streaming technologies
- Working knowledge of data visualization tools such as Power BI, Tableau, or similar
- Experience supporting government, defense, or contractual data environments
- Google Cloud Data Engineer, AWS Data Analytics, Azure Data Engineer Associate
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