Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
WO-001 Data Integration Specialist
Job
Endurion
Doral, FL (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
47
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Job Requirements Doral, FL Top Secret/SCI Polygraph not specified Mid Level Career (5+ yrs experience) Salary not specified Join Premium to unlock estimated salaries Job Description WO-001 Data Integration Specialist Position Summary The Data Integration Specialist supports mission-critical objectives under the referenced work order by managing data ingestion, transformation, and interoperability across cloud-based and on-premises environments. This role develops ETL pipelines, ensures data quality and consistency, and coordinates with AI/ML engineers to meet analytical requirements. This future opportunity is contingent upon award. Job Description
- The Data Integration Specialist is responsible for developing and maintaining scalable data pipelines that enable real-time and batch processing of structured and unstructured data.
- The position requires implementing Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
- Specialists will manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
- The role includes coordinating with AI/ML engineers to ensure data transformations meet model training and analytical requirements. Required Qualifications and Experience The contractor shall provide personnel who meet one of the following requirements:
- Bachelor's degree in Data Science, Information Management, or a related field; or
- A minimum of five (5) years of professional experience in data integration. Candidates must have demonstrated experience in the following areas:
- Developing and managing ETL workflows.
- Integrating data from multiple sources.
- Ensuring data quality and consistency.
- Working with tools such as Apache NiFi, Databricks, and SQL-based data warehouses.
- Managing schema alignment and metadata tagging. Required Skills and Competencies
- Expertise in data integration tools, API development, and ETL pipelines.
- Working knowledge of schema management and data governance.
- Proficiency in Apache NiFi, Databricks, and SQL-based data warehouses.
- Strong understanding of data quality and interoperability requirements.
- Ability to coordinate with AI/ML teams on data transformation requirements. Education
- Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
- Certified Data Management Professional (CDMP) (Preferred, Not Required)
Microsoft Certified:
Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement- An active TS/SCI security clearance is required for on-site duty location.