Data Engineer (Mid-Level)

We are seeking an experienced Data Engineer to play a crucial role in our innovative team supporting a DoD Agency and the establishment of our client's Chief Data and Artificial Intelligence Office. This position will involve strategic consulting and implementation of best practices in data engineering, data management, and data quality.

Key Responsibilities:

• Work closely with senior leadership to develop and implement strategic approaches for data engineering, management, and quality best practices
• Consult with stakeholders at various levels within the agency to inform data architecture and storage decisions in preparation for future AI and ML projects
• Design and propose scalable database architectures and ETL pipelines to support large-scale applications and future AI/ML initiatives
• Lead data engineering workstreams, coordinating with multiple teams to ensure alignment with the Chief Data and AI Office's objectives
• Support the development of comprehensive data governance frameworks and policies
• Analyze current data infrastructure and recommend improvements to support AI and ML readiness
• Plan and execute database re-architecture projects to optimize performance and future-proof data synchronization across environments
• Implement best practices for data quality, security, and governance in line with federal regulations and standards
• Mentor junior team members and contribute to knowledge sharing initiatives within the Chief Data and AI Office
• Collaborate with cross-functional teams to integrate data from multiple systems and provide advanced analytics solutions
• Participate in high-level meetings and presentations to communicate data strategies and progress to agency leadership

Qualifications

Required Qualifications:

• Secret (or above) Security Clearance
• Bachelor's degree in Computer Science, Data Analytics, or a related field; relevant on the job experience preferred
• 3+ years of experience in data engineering or related roles, with a focus on strategic data initiatives
• Strong proficiency in SQL, Python, and data modeling techniques
• Proficiency in Microsoft Power Platform to include Power BI and Power Apps development and data modeling
• Experience with big data technologies such as Databricks
• Experience with cloud platforms such as AWS and Azure
• Expertise in database management systems and ETL processes
• Knowledge of data governance principles and best practices
• Familiarity with AI and ML concepts and their data requirements
• Experience in federal consulting or government contracting
• Strong analytical and problem-solving skills

Preferred Qualifications:

• Knowledge of machine learning and deep learning concepts
• Familiarity with natural language processing (NLP) and large language models (LLM)
• Understanding of federal data regulations and compliance requirements
• Experience in establishing or supporting data offices in government agencies

Key Competencies:

• Proactive approach to identifying and solving data-related challenges
• Adaptability and willingness to navigate complex government environments
• Commitment to continuous learning and staying updated on emerging data and AI technologies
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Leadership and influencing skills to drive change across various organizational levels
• Strategic thinking and ability to align data initiatives with broader organizational goals

The ideal candidate will combine technical expertise with proactive and strategic thinking to support the establishment and growth of the Chief Data and AI Office, while effectively collaborating with stakeholders across the government agency to prepare for future AI and ML initiatives.

Echelon Services, LLC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.