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Vantor

Data Integration Specialist (TS/SCI)

Posted 2 Hours Ago
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In-Office
Doral, FL
81K-173K Annually
Mid level
In-Office
Doral, FL
81K-173K Annually
Mid level
The Data Integration Specialist will develop scalable data pipelines, implement ETL workflows, and ensure data quality for a DoD customer.
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Please review the job details below.

Vantor is seeking a Data Integration Specialist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Responsibilities:

  • Develop and maintain scalable data pipelines that enable real-time and batch processing of structured and unstructured data.

  • Implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.

  • Manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.

  • Coordinate with the AI/ML Engineer to ensure data transformations meet model training and analytical requirements.

  • Submit the Data Ingestion & Transformation Report, documenting data sources, pipeline optimizations, and integration updates

Minimum Requirements:

  • Active TS-SCI Clearance

  • Bachelor's degree in Data Science, Information Management, or a related field, or five (5) years of equivalent experience in data integration.

  • Demonstrated experience in developing and managing ETL workflows, integrating data from multiple sources, and ensuring data quality and consistency.

  • Experience with tools such as Apache NiFi, Databricks, and SQL-based data warehouses is required.

  • Possess the knowledge and capability to manage data ingestion, transformation, and interoperability across cloud-based and on-premises environments.

  • Personnel must be proficient in data integration tools, API development, ETL pipelines, and schema management.

Preferred Qualifications:

  • Desirable but not required certifications include Certified Data Management Professional (CDMP) or Microsoft Certified: Azure Data Engineer Associate.

#cjpost

In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position ranges from our lowest geographic market up to our highest geographic market within California, Colorado, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, and Washington:$81,000.00 - $173,000.00 annually.

We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: https://www.vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

Vantor values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Top Skills

Apache Nifi
Databricks
SQL

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