Research Data Engineer Support Services

SpecPro Sustainment and Environmental, LLC

$90K — $110K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, data engineering, or related field.
  • Minimum 3 years of relevant experience in data engineering or cloud infrastructure.
  • Proven experience in developing ETL/data pipelines and integrating diverse data types.
  • Familiarity with database optimization and secure data storage protocols.
  • Eligibility for CAC and ability to meet T1 investigation requirements.

Responsibilities

  • Develop and maintain ETL/data pipelines effectively.
  • Integrate both structured and unstructured data seamlessly.
  • Support and enhance database performance and optimization.
  • Ensure secure data storage practices and adherence to governance standards.
  • Facilitate interoperability of data across systems.
  • Aid in the establishment of analytics and AI/ML functionalities.

Benefits

  • Paid holidays and time off, including sick leave and vacation days.
  • Comprehensive medical, dental, and vision insurance options.
  • Flexible spending accounts for additional financial planning.
  • Short and long-term disability insurance for employee protection.
  • Company-paid life insurance for employee assurance.
  • 401(k) plan with company match for retirement savings and discretionary profit sharing.
  • Tuition reimbursement support for continuing education.
Full Job Description
Vista Innovative Solutions (VIS) is seeking a Research Data Engineer Support Services professional in San Antonio, TX. This is a full-time, remote position supporting the JTS Enterprise Support contract.

What You'll Do:
  • Develop and maintain ETL/data pipelines.
  • Integrate structured and unstructured data.
  • Support database optimization.
  • Support secure data storage and data governance.
  • Support data interoperability.
  • Support analytics and AI/ML environments.

What You Bring:

Required:
  • Bachelor's degree in computer science, data engineering, information systems, software engineering, data science, or related technical field.
  • Minimum 3 years of data engineering, database, or cloud data infrastructure experience.
  • Demonstrated experience developing ETL/data pipelines, integrating structured and unstructured data, database optimization, secure data storage, data governance, interoperability, and supporting analytics or AI/ML environments.
  • CAC eligibility.
  • Ability to meet the T1 investigation requirement unless the Government or security office determines a higher tier is necessary.

What We Offer:

Vista Innovative Solutions, LLC offers a competitive benefits package to include: paid holidays, paid time off including sick and vacation leave, medical, dental and vision insurance, flexible spending accounts, short and long term disability, company paid life insurance, 401(k) with a company match and discretionary profit sharing and tuition reimbursement.

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