22 hours ago
Bethesda, MD, USASenior
Responsibilities
- Design, develop, and maintain data pipelines and ETL/ELT workflows for machine learning, NLP, information retrieval, and advanced analytics.
- Prepare, transform, curate, validate, and integrate structured and unstructured grants and financial data for AI/ML, search, retrieval, visualization, and decision-support workflows.
- Perform feature engineering, document processing, chunking, embeddings generation, and dataset preparation.
- Implement data quality, validation, provenance, lineage, versioning, metadata, and source-traceability controls across the data lifecycle.
- Troubleshoot and optimize data pipelines, integrations, transformations, and data-processing workflows across development and testing environments.
- Collaborate with data engineering, data science, software engineering, and AI/ML teams during iterative development and testing.
- Produce technical documentation for data architecture, pipelines, schemas, transformations, features, embeddings, dependencies, and operational procedures.
- Support deployment and operation of data engineering capabilities in secure Federal, on-premises, cloud, and hybrid environments.
- Ensure solutions comply with Federal security, privacy, accessibility, records-management, data-ownership, and governance requirements.
Requirements
- Demonstrated experience building, integrating, and operating data pipelines for machine learning, NLP, information retrieval, or advanced analytics.
- Hands-on experience with feature engineering, document processing, embeddings, curated datasets, data transformation, and reproducible workflows.
- Strong proficiency in Python and SQL for data engineering, automation, transformation, and model-support workflows.
- Experience working with structured and unstructured data for AI/ML or analytics applications.
- Experience implementing data quality controls, validation, provenance, metadata, versioning, lineage, and source traceability.
- Experience troubleshooting and optimizing data pipelines, integrations, transformations, and data-processing workflows.
- Ability to create clear technical documentation and communicate effectively across multidisciplinary teams.
- U.S. citizenship and ability to obtain and maintain Top Secret eligibility are required.
- Active Top Secret clearance is highly preferred.
- Preferred experience includes Federal financial, grants, budget, payment, award oversight, reporting, or stewardship data; secure Federal environments; Linux; PostgreSQL; Microsoft SQL Server; Java; .NET; Jenkins; Azure DevOps; Kubernetes; Rancher; open-source AI/ML infrastructure; RAG; vector search; semantic search; and embeddings pipelines.
Benefits
- Competitive compensation with bonus opportunities.
- Employer-paid health care.
- Training and development funds.
- 401(k) match.
- Work supporting U.S. government customers across health, civilian, and national security missions in secure on-premises, cloud, or hybrid environments.
Tech Stack
Categories
Data Engineering
About Analytica
Analytica provides data and software engineering, analytics, and IT modernization consulting to U.S. government health, civilian, and national security agencies. Its services span cloud and enterprise data platforms (e.g., AWS, Databricks), DevSecOps, GIS, and AI/ML, delivered via government contracts. Founded in 2009 and headquartered in Washington, DC, the privately held firm is an SBA-certified 8(a) and HUBZone small business.