Job Requirements
Remote Arlington, VA Washington Navy Yard, DC
Secret Polygraph not specified
Career Level not specified
$60,000 - $100,000
Job Description
Job Title: Hybrid Data Integration Engineer (Junior or Senior) - Secret Clearance
Position Type: Direct Hire / Full-Time
Location: Arlington, VA / Washington, DC Metro Area – Hybrid
Onsite work locations include Rosslyn, the Mark Center, and the Pentagon.
Clearance: Secret Clearance Preferred
U.S. citizenship is required. Candidates with an active Secret clearance will be prioritized.
The company may consider sponsorship for the right candidate.
Hiring Timeline: Immediate
Compensation:
• Junior Data Integration Engineer: Approximately 2+ years of relevant experience |
$60,000–$100,000/year
• Senior Data Integration Engineer: 10+ years of relevant experience | $95,000–
$135,000/year
Company: The name of our partner organization will be disclosed during the interview
process. This is not a direct role with LaunchCode; it is a position through LaunchCode,
working with one of our partner companies.
Position Overview:
Our partner is seeking Data Integration Engineers at the Junior and Senior levels to support
enterprise data integration, financial systems, cloud data platforms, and modernization
initiatives for Defense sector clients.
Engineers will help design, develop, validate, test, and support data integrations across
financial systems, ERP platforms, staging environments, analytics platforms, and reporting
solutions. The team works closely with technical developers, source system owners, data
engineering teams, finance stakeholders, and program management to ensure data moves
accurately, securely, and reliably from source systems through transformation pipelines to
downstream reporting platforms.
This role provides exposure to technologies including OneStream, ERP platforms, GTAS
reporting, War Data Platform, Power BI, Databricks, Palantir, Celonis Intelligence, SQL,
Python, cloud-based integration services, and AI-enabled data solutions.
Position Responsibilities:
• Design, develop, configure, test, and support enterprise data integrations.
• Support integrations involving OneStream, ERP platforms, financial systems,
analytics platforms, and reporting solutions.
• Develop and support APIs, ETL/ELT pipelines, batch integrations, file transfers, and
cloud-based data movement processes.
• Support source-to-target mapping, transformation logic, interface controls, and
validation requirements.
• Validate data movement across source systems, staging environments,
transformation layers, and downstream reporting platforms.
• Perform data validation and reconciliation to identify discrepancies and ensure data
accuracy, completeness, and traceability.
• Troubleshoot interface failures, mapping issues, schema changes, rejected records,
transformation errors, and other data processing exceptions.
• Support System Integration Testing (SIT), User Acceptance Testing (UAT), production
deployments, cutovers, and post-production stabilization.
• Collaborate with software developers, data engineers, finance teams, source
system owners, and business stakeholders.
• Create and maintain technical documentation, interface specifications, mapping
documents, reconciliation procedures, and operational runbooks.
• Support enterprise modernization initiatives, system implementations, data
conversions, and production cutovers.
• Monitor production interfaces and identify opportunities to improve automation,
performance, scalability, and reliability.
• Use SQL, Python, Power BI, Databricks, Palantir, and other technologies to analyze
data and support data quality initiatives.
• Leverage AI-assisted tools and emerging technologies to improve data validation,
reconciliation, anomaly detection, and operational support.
Junior Level – Required Skills/Experience:
• Approximately 2+ years of experience in data engineering, data integration, software
engineering, ETL development, API development, or a related technical field.
• Bachelor's degree in Computer Science, Information Systems, Software
Engineering, Data Engineering, Computer Engineering, Information Technology, or
another STEM discipline.
• U.S. citizenship and ability to obtain and maintain a Secret clearance.
• Experience with SQL and relational databases.
• Familiarity with ETL/ELT pipelines, APIs, batch processing, file-based integrations,
or data movement processes.
• Exposure to data mapping, transformation logic, data validation, or reconciliation.
• Experience troubleshooting technical issues and analyzing data discrepancies.
, • Familiarity with cloud-based data platforms such as Azure, AWS, or Databricks.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively and collaborate with technical and business
teams.
Senior Level – Required Skills/Experience:
• 10+ years of experience supporting enterprise data integration, financial systems,
ERP modernization, cloud data engineering, or related initiatives.
• Bachelor's degree in Computer Science, Information Systems, Software
Engineering, Data Engineering, Computer Engineering, Information Technology, or
another STEM discipline.
• U.S. citizenship and active Secret clearance preferred. The company is willing to
sponsor the right candidate.
• Strong experience developing or supporting APIs, ETL/ELT pipelines, batch
processing, file-based integrations, or middleware platforms.
• Advanced SQL skills with experience querying, validating, and reconciling large
datasets.
• Strong experience with source-to-target validation, data reconciliation, and
enterprise data quality.
• Experience supporting SIT, UAT, production deployments, cutovers, and post-
production support.
• Strong understanding of enterprise integration patterns, data mapping,
transformation logic, and interface controls.
• Experience with cloud-based data platforms such as Azure, AWS, or Databricks.
• Strong troubleshooting, root-cause analysis, and technical problem-solving skills.
• Excellent communication skills and the ability to work directly with technical teams,
business stakeholders, and leadership.
• Ability to manage multiple priorities in a fast-paced consulting environment.
Preferred Qualifications – Junior & Senior:
• Experience with OneStream or other Enterprise Performance Management (EPM)
platforms.
• Experience with ERP systems such as SAP, Oracle, Workday, Momentum, or CGI
Momentum.
• Knowledge of federal financial management, GTAS, USSGL, Treasury reporting,
financial statements, audit readiness, or internal controls.
• Experience supporting Advana, War Data Platform, or other federal enterprise data
platforms.
• Experience with REST APIs, Azure Data Factory, Azure Integration Services,
Informatica, MuleSoft, Boomi, Kafka, or similar technologies.
• Experience with Databricks, Spark, Delta Lake, Microsoft Fabric, Synapse Analytics,
or similar cloud data architectures.
• Knowledge of data governance, metadata management, master data management
(MDM), and enterprise data quality.
• Experience applying AI, intelligent automation, or agentic AI to data validation,
reconciliation, anomaly detection, or interface monitoring.
• Relevant professional certifications such as Microsoft Azure Data Engineer
Associate, Databricks Data Engineer Associate, AWS Certified Data Engineer,
Certified Scrum Master (CSM), or Certified Data Management Professional (CDMP).
• Candidates with backgrounds in Software Engineering, Cloud Engineering, Data
Engineering, API Development, Middleware Engineering, ETL Engineering, or ERP
Integration are encouraged to apply.
Position Type: Direct Hire / Full-Time
Location: Arlington, VA / Washington, DC Metro Area – Hybrid
Onsite work locations include Rosslyn, the Mark Center, and the Pentagon.
Clearance: Secret Clearance Preferred
U.S. citizenship is required. Candidates with an active Secret clearance will be prioritized.
The company may consider sponsorship for the right candidate.
Hiring Timeline: Immediate
Compensation:
• Junior Data Integration Engineer: Approximately 2+ years of relevant experience |
$60,000–$100,000/year
• Senior Data Integration Engineer: 10+ years of relevant experience | $95,000–
$135,000/year
Company: The name of our partner organization will be disclosed during the interview
process. This is not a direct role with LaunchCode; it is a position through LaunchCode,
working with one of our partner companies.
Position Overview:
Our partner is seeking Data Integration Engineers at the Junior and Senior levels to support
enterprise data integration, financial systems, cloud data platforms, and modernization
initiatives for Defense sector clients.
Engineers will help design, develop, validate, test, and support data integrations across
financial systems, ERP platforms, staging environments, analytics platforms, and reporting
solutions. The team works closely with technical developers, source system owners, data
engineering teams, finance stakeholders, and program management to ensure data moves
accurately, securely, and reliably from source systems through transformation pipelines to
downstream reporting platforms.
This role provides exposure to technologies including OneStream, ERP platforms, GTAS
reporting, War Data Platform, Power BI, Databricks, Palantir, Celonis Intelligence, SQL,
Python, cloud-based integration services, and AI-enabled data solutions.
Position Responsibilities:
• Design, develop, configure, test, and support enterprise data integrations.
• Support integrations involving OneStream, ERP platforms, financial systems,
analytics platforms, and reporting solutions.
• Develop and support APIs, ETL/ELT pipelines, batch integrations, file transfers, and
cloud-based data movement processes.
• Support source-to-target mapping, transformation logic, interface controls, and
validation requirements.
• Validate data movement across source systems, staging environments,
transformation layers, and downstream reporting platforms.
• Perform data validation and reconciliation to identify discrepancies and ensure data
accuracy, completeness, and traceability.
• Troubleshoot interface failures, mapping issues, schema changes, rejected records,
transformation errors, and other data processing exceptions.
• Support System Integration Testing (SIT), User Acceptance Testing (UAT), production
deployments, cutovers, and post-production stabilization.
• Collaborate with software developers, data engineers, finance teams, source
system owners, and business stakeholders.
• Create and maintain technical documentation, interface specifications, mapping
documents, reconciliation procedures, and operational runbooks.
• Support enterprise modernization initiatives, system implementations, data
conversions, and production cutovers.
• Monitor production interfaces and identify opportunities to improve automation,
performance, scalability, and reliability.
• Use SQL, Python, Power BI, Databricks, Palantir, and other technologies to analyze
data and support data quality initiatives.
• Leverage AI-assisted tools and emerging technologies to improve data validation,
reconciliation, anomaly detection, and operational support.
Junior Level – Required Skills/Experience:
• Approximately 2+ years of experience in data engineering, data integration, software
engineering, ETL development, API development, or a related technical field.
• Bachelor's degree in Computer Science, Information Systems, Software
Engineering, Data Engineering, Computer Engineering, Information Technology, or
another STEM discipline.
• U.S. citizenship and ability to obtain and maintain a Secret clearance.
• Experience with SQL and relational databases.
• Familiarity with ETL/ELT pipelines, APIs, batch processing, file-based integrations,
or data movement processes.
• Exposure to data mapping, transformation logic, data validation, or reconciliation.
• Experience troubleshooting technical issues and analyzing data discrepancies.
, • Familiarity with cloud-based data platforms such as Azure, AWS, or Databricks.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively and collaborate with technical and business
teams.
Senior Level – Required Skills/Experience:
• 10+ years of experience supporting enterprise data integration, financial systems,
ERP modernization, cloud data engineering, or related initiatives.
• Bachelor's degree in Computer Science, Information Systems, Software
Engineering, Data Engineering, Computer Engineering, Information Technology, or
another STEM discipline.
• U.S. citizenship and active Secret clearance preferred. The company is willing to
sponsor the right candidate.
• Strong experience developing or supporting APIs, ETL/ELT pipelines, batch
processing, file-based integrations, or middleware platforms.
• Advanced SQL skills with experience querying, validating, and reconciling large
datasets.
• Strong experience with source-to-target validation, data reconciliation, and
enterprise data quality.
• Experience supporting SIT, UAT, production deployments, cutovers, and post-
production support.
• Strong understanding of enterprise integration patterns, data mapping,
transformation logic, and interface controls.
• Experience with cloud-based data platforms such as Azure, AWS, or Databricks.
• Strong troubleshooting, root-cause analysis, and technical problem-solving skills.
• Excellent communication skills and the ability to work directly with technical teams,
business stakeholders, and leadership.
• Ability to manage multiple priorities in a fast-paced consulting environment.
Preferred Qualifications – Junior & Senior:
• Experience with OneStream or other Enterprise Performance Management (EPM)
platforms.
• Experience with ERP systems such as SAP, Oracle, Workday, Momentum, or CGI
Momentum.
• Knowledge of federal financial management, GTAS, USSGL, Treasury reporting,
financial statements, audit readiness, or internal controls.
• Experience supporting Advana, War Data Platform, or other federal enterprise data
platforms.
• Experience with REST APIs, Azure Data Factory, Azure Integration Services,
Informatica, MuleSoft, Boomi, Kafka, or similar technologies.
• Experience with Databricks, Spark, Delta Lake, Microsoft Fabric, Synapse Analytics,
or similar cloud data architectures.
• Knowledge of data governance, metadata management, master data management
(MDM), and enterprise data quality.
• Experience applying AI, intelligent automation, or agentic AI to data validation,
reconciliation, anomaly detection, or interface monitoring.
• Relevant professional certifications such as Microsoft Azure Data Engineer
Associate, Databricks Data Engineer Associate, AWS Certified Data Engineer,
Certified Scrum Master (CSM), or Certified Data Management Professional (CDMP).
• Candidates with backgrounds in Software Engineering, Cloud Engineering, Data
Engineering, API Development, Middleware Engineering, ETL Engineering, or ERP
Integration are encouraged to apply.
group id: RTX1a8ec6
