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Data Engineer w​/Accumulo; DoD Clearance

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: SandTech Solutions
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Position: Data Engineer w/ Accumulo (must have DoD Clearance)

Data Engineer w/ Accumulo (must have DoD Clearance)

3 weeks ago — Be among the first 25 applicants

The ideal candidate will have extensive experience with data integration, processing, and management, specifically utilizing Apache Accumulo, RESTful APIs, Hadoop, Accumulo, and Elasticsearch.

Key Responsibilities
  • Design, develop, and maintain data pipelines to support C2IE deployments.
  • Utilize Apache NiFi for data ingestion, transformation, and routing.
  • Develop and maintain RESTful APIs for seamless data exchange between systems.
  • Implement and manage data storage solutions, including Hadoop, Accumulo, and Elasticsearch.
  • Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Monitor and optimize data workflows to ensure high performance and reliability.
  • Troubleshoot and resolve issues related to data integration and processing.
  • Stay updated with the latest trends and technologies in data engineering and apply them to improve existing processes.
Required Skills And Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Proven experience as a Data Engineer or similar role, with a focus on supporting complex data environments.
  • Strong proficiency in Apache NiFi for data integration and processing.
  • Experience in developing and managing RESTful APIs.
  • In-depth knowledge of data storage solutions, including Hadoop, Accumulo, and Elasticsearch.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong understanding of data security and compliance requirements.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience with Elastic Search and the Elastic Stack.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data engineering.
  • Knowledge of Dev Ops practices and tools like Jenkins, Docker, and Kubernetes.
  • Experience with data visualization tools and techniques.
  • Relevant certifications in data engineering or related fields.
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Strategy/Planning and Information Technology
  • IT Services and IT Consulting
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