Data visualization • washington dc
This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.The ideal candidate will have stron...Show more
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Job Title: Data Analyst - Visualization SpecialistJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage ...Show more
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Intrepid, an SPA Company, brings more than 20 years of experience supporting the Department of Defense and U.Government, consistently setting the standard for excellence in the federal marketplace....Show more
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The average salary range is between $ 82,500 and $ 140,000 year , with the average salary hovering around $ 105,000 year .
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.
The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.
Data Pipeline Development & Engineering
AWS Cloud & Data Services
Data Optimization & Performance
Data Quality & Governance
Collaboration & Integration
Requirements
Active TS/ SCI W/ Polygraph Required.
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
Demonstrated experience in data engineering and pipeline development
Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)
Proficiency in SQL and Python for data processing and transformation
Experience working with large-scale data sets and big data technologies
Strong analytical and problem-solving skills
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