Summary
See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $125,776- $163,514 Columbus, OH: $131,245- $170,624 Dayton, OH: $130,461 - $169,604 Fort Belvoir, VA: $143,913- $187,093 New Cumberland, PA: $143,913- $187,093 Ogden, UT: $125,776- $163,514 Philadelphia, PA: $138,595- $180,178 Richmond, VA: $131,385- $170,806
Duties
Architects, develops, tests, and maintains scalable data pipelines to ingest structured and unstructured data from disparate DLA, DoD, and commercial sources using complex ETL/ELT processes.
Develops resilient batch and real-time data solutions using Python, Scala, or Java, and frameworks like Apache Spark and Airflow for strategic reporting and operational AI model serving.
Implements CI/CD practices for automated testing and deployment, troubleshooting pipeline executions to optimize performance, integrity, and cost-effectiveness for DLA systems.
Leads the design and administration of data warehouse and data lake structures, implementing dimensional and data vault models to support business intelligence and AI/ML use cases.
Administers and optimizes cloud data warehouses such as Snowflake, Redshift, or BigQuery, managing partitioning, indexing, and clustering strategies for high-performance analytics.
Enforces data governance, data quality, and enterprise data catalogs, collaborating with security teams to apply access controls, encryption, and data masking for CUI and Secret data.
Serves as principal technical advisor for the AI and Analytics CoE, translating data requirements from data scientists, ML engineers, and analysts into technical specifications for logistics systems.
Provides guidance on data architecture best practices, mentors junior technical staff, establishes coding standards, and conducts peer reviews for data engineering projects.
Communicates complex technical concepts regarding data architecture and pipeline design to non-technical stakeholders and senior leadership to guide strategic organizational decisions.
Researches, evaluates, and prototypes emerging data technologies and architectural patterns, conducting technical assessments and proofs-of-concept for cloud services and processing engines.
Leads technical planning and migration strategies to modernize legacy systems, transitioning data workloads to cloud-native platforms while maintaining expertise in industry trends.
Education
Substitution of education may not be used in lieu of specialized experience for this grade level.
How you will be evaluated
The assessments for this job will measure the following Competencies: FSA Behavioral Index Accountability Customer Service Decisiveness Flexibility Interpersonal Skills Problem Solving Resilience FSA Situation Inventory Accountability Interpersonal Skills Problem Solving Occupational Interaction Assessment Accountability Attention to Detail Customer Service Flexibility Influencing/Negotiating Integrity/Honesty Interpersonal Skills Learning Self-management Stress Tolerance Teamwork Occupational Judgement Assessment Decision Making Occupational Reading Assessment Reading Comprehension Occupational Reasoning Assessment Reasoning Direct Hire Evaluation: Once the application process is complete, a review of your application will be made to ensure you meet the job requirements. This vacancy will be filled through a Direct Hire Authority. All applicants who meet the basic qualification requirements will be forwarded to the Selecting Official for consideration. The rule of Three, Veteran's Preference and traditional rating and ranking of applicants do not apply to this vacancy. We will evaluate your application for basic eligibility and to determine if your experience meets the basic qualification requirements described in the announcement. All applicants who meet the qualifications and other basic requirement are eligible for referral and selection consideration. Please follow all instructions carefully. Errors or omissions may affect your rating.