Data Integration Engineer

Location: Remote within the United States, with a strong preference for candidates in the Washington, DC metropolitan area and occasional onsite meetings in Washington, DC. All work must be performed in the U.S.; foreign locations, foreign IP addresses, and personal VPN connections are not permitted.

Salary: $81,499–$138,549 annually for full-time employment.

Company

hirify.global is a global advisory and technology services provider delivering cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation solutions to federal clients.

What you will do

• Implement data movement, replication, APIs, interoperability patterns, and source-system integrations for the Summit enterprise data and analytics platform.
• Design and support secure connectivity with Platform Engineering and Security teams.
• Validate integration performance, data lineage, error handling, throughput, latency, and operational readiness.
• Support ETL/ELT pipelines, migration activities, reliable data feeds, and legacy workload modernization.
• Document connection patterns, decisions, risks, operational runbooks, support procedures, and delivery evidence.
• Collaborate with engineering, architecture, governance, security, quality, product, and customer-facing stakeholders.

Requirements

• U.S. citizenship, U.S. residence, U.S. work authorization, and three full years lived in the U.S. during the last five years are required.
• Bachelor’s degree in computer science, data engineering, information systems, database administration, systems engineering, cloud engineering, or a related field, or equivalent experience.
• At least six years of relevant experience; a master’s degree may substitute for two years.
• Experience with enterprise data integration, ETL/ELT, replication, ingestion, migration, API-based integration, and secure data exchange.
• Strong programming and scripting skills with SQL, Python, Spark, REST APIs, JSON, and data integration frameworks.
• Experience with cloud-native integration, operational runbooks, monitoring, lineage, metadata, observability, error handling, and DataOps practices.

Nice to have

• Experience with Databricks, Delta Lake, Azure Data Factory, Azure Integration Services, Azure Event Hubs, Databricks Workflows, Unity Catalog, Delta Sharing, or Lakehouse Federation.
• Experience modernizing large-scale legacy data warehouses and supporting validation, reconciliation, and migration cutovers.
• Experience with MuleSoft, event-driven and streaming integration patterns, Collibra EDC, Microsoft Purview, or comparable technologies.
• Experience in federal government, healthcare, regulated environments, Agile, DevSecOps, or cross-functional delivery teams.

Culture & Benefits

• Full-time employment supporting a mission-critical federal modernization program.
• Collaborative work across technical, governance, security, product, and operations functions.
• Work is remote within the U.S. with occasional client-site meetings in Washington, DC.
• Work location monitoring and restrictions on foreign access and personal VPN use apply.

Hiring process

• The position is contingent upon a contract award.
• Interviews and offers are being conducted in anticipation of the award.