Data Engineer – Legacy Systems & AI Workflows

Location: McLean, Virginia, United States. The role requires U.S. citizenship and the ability to obtain and maintain a Public Trust Clearance. Preference is given to candidates local to the Washington, DC metro area.

Salary: $89,886–$175,444 per year.

Company

hirify.global is a technology integrator and solution provider delivering secure technology solutions for federal agencies.

What you will do

• Design, develop, and operate batch and streaming ETL/ELT pipelines for structured and semi-structured data.
• Onboard legacy data sources by reviewing schemas, mappings, interfaces, validation rules, ownership, and operational procedures.
• Build automated data-quality checks, monitoring, alerting, and validation processes.
• Automate deployments and pipeline operations using SOAP APIs, workflow orchestration, and environment-specific configurations.
• Troubleshoot distributed data systems using logs, metrics, lineage, and operational signals.
• Collaborate with software, cloud, data science, security, architecture, and customer teams to deliver measurable data products.

Requirements

• Bachelor’s degree in computer science, computer engineering, mathematics, statistics, or a related technical field.
• At least 5 years of professional data engineering experience, including production pipeline development and operations.
• Programming experience in Python, Java, R, or another data engineering language.
• Experience with legacy systems using SOAP APIs, REST APIs, and structured formats including JSON, XML, CSV, and Parquet.
• Experience with data-quality frameworks, monitoring, alerting, security, access controls, encryption, auditability, and governance in regulated or restricted environments.
• U.S. citizenship and eligibility to obtain and maintain a Public Trust Clearance are required.

Nice to have

• Experience building preprocessing, chunking, filtering, metadata-enrichment, or evaluation pipelines for LLM and AI/ML workflows.
• Experience with segmented networks, limited connectivity, strict change control, or formal authorization requirements.
• Strong SQL skills, including query optimization, data modeling, joins, window functions, and large-dataset analysis.
• Experience with Jupyter Notebook, NumPy, pandas, AWS, C3.ai, or relevant cloud and data engineering certifications.
• Active Public Trust Clearance and proximity to the Washington, DC metro area.

Culture & Benefits

• Medical, dental, and vision plans.
• Flexible Spending Account and a 4% 401(k) match with immediate vesting.
• Paid time off, tuition reimbursement, certification programs, and professional development.
• Flexible work schedule.
• On-site gym and childcare option.