AI/ML Data Engineer – Hybrid, US Citizens/Green Cards

Swingtech

. Design, build, test, deploy, and maintain scalable data pipelines for batch, streaming, near-real-time, and event-driven workloads .

Posted 9/24/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, with a strong focus on ETL/ELT processes, data quality measures, and secure data handling practices. Proficient in integrating various data sources and collaborating with AI/ML teams to enhance data retrieval and processing workflows.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ProcessesSQL DevelopmentPython ProgrammingData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase DevelopmentData ModelingMetadata ManagementData TransformationData LineageData QualityAPI IntegrationCloud Data ServicesOperational Support

Tools & Technologies

AWSAzureGoogle Cloud

Industry Keywords

Data PipelinesData WarehousesData LakesData MinimizationPII ProtectionAccess ControlEncryptionIncident ResponseMLOpsResponsible AI

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, test, deploy, and maintain scalable data pipelines for batch, streaming, near-real-time, and event-driven workloads
Integrate approved agency data sources, APIs, file stores, document repositories, relational databases, data lakes, data warehouses, and authorized external sources
Develop ETL/ELT pipelines for data extraction, validation, transformation, normalization, enrichment, de-identification, metadata management, and loading
Implement document-ingestion pipelines supporting OCR, parsing, classification, metadata extraction, PII detection/redaction, chunking, embeddings, vector indexing, and retrieval workflows
Create and maintain data models, schemas, data dictionaries, metadata structures, catalog records, and data-quality controls
Implement data lineage, source provenance, dataset versioning, retention, access controls, and auditability for training, validation, evaluation, and production datasets
Preserve separation of training, validation, and final evaluation datasets through controlled access, versioning, and documented lifecycle processes
Develop and monitor data-quality measures including completeness, accuracy, timeliness, duplication, validity, freshness, distribution drift, and labeling quality
Apply data minimization, masking, encryption, access controls, de-identification, and least-privilege safeguards to PII, CUI, and other protected DOL data
Collaborate with AI/ML Engineers to optimize retrieval quality, embeddings, vector stores, hybrid search, reranking, citation traceability, and knowledge-base refresh processes
Develop data-pipeline runbooks, technical documentation, source inventories, lineage artifacts, data-quality reports, and operational support procedures
Support security, privacy, ATO, Responsible AI, incident response, MLOps, monitoring, and release-readiness activities

Requirements

What you’ll need

Bachelor’s degree in computer science, data engineering, data science, information systems, software engineering, mathematics, or a related technical discipline
At least four years of experience in data engineering, database development, analytics engineering, ETL/ELT development, data-platform implementation, or related work
Strong SQL and Python development skills
Experience designing data pipelines and integrating APIs, databases, file systems, cloud storage, data warehouses, or data lakes
Experience with data modeling, metadata, data quality, data lineage, data transformation, monitoring, and operational support
Familiarity with AWS, Azure, Google Cloud, or equivalent cloud data services
Knowledge of secure data-handling practices, including access control, encryption, data masking, PII protection, and logging
Must be willing to work 3 days onsite at customer site in Washington, DC
US Citizens or Green Card holders
Local to the DMV area

Benefits

Comp & perks

15 PTO days
11 paid holidays
Medical Insurance with 3 options (HSA with $600 Employer Contribution)
Dental Insurance with no age limit orthodonture
Vision Insurance through EyeMed in and out of network coverage
Short Term and Long-Term Disability coverage with 100% premium support
Life insurance and AD&D with 100% premium support
Supplemental Life Insurance
Critical Care and Accident Insurance availability
Pet Insurance through Nationwide
Employee Assistance Program
401k with enrollment from day one
4% deferral by company
$1500 Annual Training Budget
$1500 Referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements