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Senior Data Integration Engineer Jobs in Washington

Integral

Data Integration Engineer

Fort George G Meade, MD · On-site

$125K - $155K/yr

Integral Federal is seeking a Data Integration Engineer to engineer and sustain mission-data movement, synchronization, transformation, reconciliation, and quality across JPES/JCRM and external ...

Integral

Data Integration Engineer

Fort George G Meade, MD · On-site

$125K - $155K/yr

Overview Integral Federal is seeking a Data Integration Engineer to engineer and sustain mission-data movement, synchronization, transformation, reconciliation, and quality across JPES/JCRM and ...

Integral

Data Integration Engineer

Fort George G Meade, MD · On-site

$125K - $155K/yr

Overview Integral Federal is seeking a Data Integration Engineer to engineer and sustain mission-data movement, synchronization, transformation, reconciliation, and quality across JPES/JCRM and ...

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Senior Data Integration Engineer information

What is a senior data integration engineer?

Senior Data Integration Engineers are experienced professionals who design, develop, and manage systems that combine data from different sources into unified, accessible formats for organizations. They are responsible for ensuring data flows smoothly between databases, applications, and external partners, often using ETL (Extract, Transform, Load) tools and APIs. Their role also includes troubleshooting integration issues, optimizing data pipelines for performance, and maintaining data quality and security standards. Typically, they collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions that support decision-making.

What are some common challenges faced by senior data integration engineers when working with legacy systems?

Senior Data Integration Engineers often encounter challenges when integrating data from legacy systems, such as outdated technology stacks, lack of proper documentation, and inconsistent data formats. Overcoming these obstacles usually involves reverse engineering data flows, collaborating closely with system owners, and leveraging specialized middleware or ETL tools. Clear communication and adaptability are essential, as is the ability to troubleshoot and customize integration solutions to fit unique organizational requirements.

What cities in Washington are hiring for Senior Data Integration Engineer jobs?

Cities in Washington with the most Senior Data Integration Engineer job openings:

Senior Data Integration Engineer

Annapolis, MD • On-site

Reflexive Concepts
11 - 50 employees
Learn more about Reflexive Conceptsexternal

Full-time

Re-posted 21 days ago

Job description

Reflexive Concepts is seeking a skilled Senior Data Integration Engineer to join our team!
This role will support enterprise data modernization and integration efforts focused on ingesting, transforming, validating and managing operational data supporting critical business and mission workflows across acquisition, finance, HR, logistics, training, security and program management systems. The ideal candidate will possess a blend of database engineering, data integration and automation experience with the ability to support structured data ingestion workflows, JSON-based transformations, validation processes and enterprise application integrations including Pega-based systems serving as systems of record. This role requires a proactive and technically confident engineer who is comfortable operating in fast-paced and occasionally ambiguous environments. Successful candidates demonstrate strong ownership, initiative and sound technical judgment while working within established architectural, security and operational frameworks. The ideal candidate is capable of independently driving tasks forward, identifying gaps or risks, proposing solutions and collaborating across technical teams without requiring continuous direction or oversight.
Qualifications:
  • TS/SCI with Polygraph
  • Bachelor's degree in a technical discipline and five (5) years of experience as a Database Engineer or related technical role. Ten (10) years of experience may be substituted in lieu of a degree.
  • Experience working with relational databases and SQL-based technologies
  • Experience supporting data ingestion, transformation or ETL-style workflows
  • Experience working with structured data formats including JSON, CSV and Excel-based datasets
  • Experience writing scripts or automation utilities using Python, PowerShell or similar scripting languages
  • Experience troubleshooting data validation and operational data quality issues
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Must be able to work during core hours of M-F 10am-2pm. Exceptions will be considered on a case-by-case basis
Job Responsibilities:
  • Support ingestion of spreadsheet and structured data sources into enterprise databases and applications
  • Develop and maintain data transformation workflows including conversion of source data into JSON representations
  • Validate, troubleshoot and optimize data ingestion and synchronization processes
  • Support enterprise database operations and ensure integrity, availability and consistency of operational data
  • Assist with integration of enterprise data into Pega workflows and applications
  • Collaborate with software engineers, systems engineers and stakeholders to define data mappings, validation rules and integration requirements
  • Support development and maintenance of reporting and downstream data consumption capabilities
  • Monitor database performance and assist with troubleshooting operational issues
  • Participate in automation and modernization initiatives across enterprise services
  • Document database structures, data flows, ingestion processes and operational procedures
Desired Skills:
  • Demonstrated ability to operate independently and take ownership of technical deliverables and operational outcomes
  • Comfortable working in dynamic environments with evolving priorities, incomplete requirements and cross-team dependencies
  • Proven ability to identify technical gaps, propose solutions and proactively drive work forward with minimal oversight
  • Strong troubleshooting and analytical skills with the ability to navigate complex enterprise data environments
  • Ability to balance independent execution with appropriate stakeholder coordination and escalation
  • Strong organizational and communication skills with the ability to work effectively across engineering, operations and customer teams

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