Data Engineer - Washington, DC

Please note - must have Active DOD Secret clearance to qualify for being considered

Title: Data Engineers (Mid/Sr) SQL, Big Data/ETL, Python/Java, AWS)

Location: Washington DC 20001

SECURITY CLEARANCE: Active DOD Secret clearance (interim-secret ok)

Base Salary: OPEN - DEPENDENT ON EXTENT OF POSITION RELEVANT EXPERIENCE (BASE + BENEFITS + BONUSES)

For immediate consideration, please email your resume directly to Adam:

Overview: As a Senior Data Engineer, you play a pivotal role in spearheading the development and maintenance of robust, scalable data infrastructure crucial for delivering actionable insights through big data analysis. Your expertise in cutting-edge technologies and your ability to craft innovative solutions will drive our organization's success in leveraging data-driven strategies.

Key Responsibilities

1. Architect, develop, and maintain high-performance data stores to cater to the demands of sophisticated business analytics.
2. Apply advanced consulting skills and industry knowledge to solve intricate problems, often providing guidance and mentorship to team members.
3. Independently work on complex projects, ensuring the seamless integration of data pipelines using modern Big Data ETL technologies like NiFi or StreamSets.
4. Collaborate cross-functionally to establish and optimize data processes within a big data and cloud environment, leveraging tools like SQL, Spark, and ETL methodologies.
5. Document and implement data solutions on AWS platforms such as EC2, S3, and RDS, ensuring scalability, security, and efficiency.

Required Skills

1. Active Secret clearance.
2. 4+ years of hands-on experience with SQL, showcasing a deep understanding of database management.
3. Proficiency (4+ years) in developing data pipelines using modern Big Data ETL technologies (e.g., NiFi, StreamSets).
4. Extensive (4+ years) programming experience in Python or Java, with a track record of delivering robust solutions.
5. Strong background (4 years) in working within big data and cloud environments, demonstrating expertise in distributed computing and technologies such as SQL, Spark, and ETL.
6. Documented experience in implementing solutions on AWS, including EC2, S3, and/or RDS.

Preferred Skills

1. 2 years of experience working in an agile development environment, showcasing adaptability and collaborative prowess.
2. Ability to swiftly grasp technical concepts and effectively communicate with diverse functional groups.
3. Exhibit a proactive and optimistic attitude toward problem-solving, thriving in overcoming future challenges.
4. Exceptional verbal and written communication skills to articulate complex technical concepts clearly.
5. Prior exposure to relevant command structures, with a keen understanding of analytical and data challenges across the J-Codes.