Senior Enterprise Data Integration Engineer

ApplyLogic Consulting Group, LLC

Alexandria (VA)

On-site

USD 125,000 - 155,000

Full time

21 hours ago

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Benefits offered by this job

Employee Assistance Program

401K

Medical/Dental/Vision Insurance

Life/Short-Term Disability/CriticalIll

11 Federal Holidays

PTO

Continuing education stipend

Job summary

ApplyLogic is a fast-paced Service-Disabled Veteran-Owned Small-Business in Vienna, VA, seeking a Data Integration Engineer IV to lead enterprise data integration efforts for a Federal Government customer in the Northern Virginia area. You will design, implement, and optimize data integration architectures across databases, applications, and APIs, ensuring secure, reliable data movement.

The role requires senior technical leadership, hands-on ETL/ELT expertise, and the ability to mentor other

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related field.
7+ years of progressively responsible experience in data integration, data engineering, ETL/ELT, database engineering, software development, or a related discipline.
Demonstrated experience designing and leading enterprise data integration solutions.
Advanced proficiency in SQL and enterprise relational database technologies.
Extensive experience designing, developing, and optimizing ETL/ELT processes and data pipelines.
Demonstrated experience integrating complex enterprise systems, applications, databases, and APIs.
Extensive experience with data transformation, mapping, migration, validation, and reconciliation.

Responsibilities

Lead the design, development, implementation, and optimization of enterprise data integration architectures and solutions.
Provide senior technical expertise in ETL/ELT, data pipelines, APIs, data transformation, system integration, and enterprise data platforms.
Design scalable and reliable integration solutions connecting complex systems, databases, applications, and data sources.
Establish technical patterns, standards, and best practices for data integration and pipeline development.
Lead complex data migration, transformation, consolidation, and modernization initiatives.
Develop and optimize advanced SQL, data transformations, integration workflows, and pipeline architectures.
Lead troubleshooting and root-cause analysis for complex and high-impact integration issues.
Evaluate integration environments and recommend improvements to architecture, performance, scalability, automation, and reliability.
Establish monitoring and operational practices for enterprise integration processes.
Review integration designs, data mappings, interfaces, code, and implementation approaches for quality and adherence to standards.
Collaborate with enterprise architects, developers, data engineers, database administrators, analysts, and business stakeholders.
Translate complex technical and business requirements into scalable integration solutions.
Provide technical leadership and mentorship to Data Integration Engineers and other technical staff.
Develop and maintain integration architecture documentation, data flows, interface specifications, standards, and procedures.
Identify opportunities to automate integration processes and improve operational efficiency.
Ensure integration solutions comply with applicable security, data governance, and organizational requirements.