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Lead Data Engineer

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Job Description

Job Description

Description:

NOTE : This is a full-time employment opportunity (open to W2, 1099 or C2C, no third parties, please). The candidate MUST be authorized to work in the United States without sponsorship and able to complete/pass/hold a public trust investigation. This is a remote opportunity; candidate must be based in the United States; have resided in the US for the last 3 years of the past 5 years; ET time zone work schedule.

Daily Responsibilities

  • The Lead Data Engineer is responsible for building and maintaining scalable data pipelines and ensuring efficient data ingestion, transformation, and processing across the platform.
  • Design and implement data ingestion pipelines (API, batch, FHIR).
  • Develop ETL/ELT processes using modern data engineering tools.
  • Optimize data processing performance and scalability.
  • Implement validation and monitoring mechanisms.
  • Collaborate with architecture and analytics teams.
Requirements:
  • Must be authorized to work in the United States without sponsorship.
  • Must have resided in the United States for the past 3 years within the last 5 years.
  • Must be able to complete/pass/hold at a minimum a federal public trust investigation.
  • 10+ years of experience in data engineering.
  • 5+ years working with big data tools (e.g., Spark, Databricks)
  • Experience with cloud-based data platforms.
  • Strong programming and data pipeline development skills
  • Excellent communication and collaboration skills.
  • Bachelor’s degree in computer science or related field.

Our Comprehensive Employee Benefits Package Includes:

  • 401(k) Retirement Plan (Employer Match)
  • Health Insurance Plans (Medical, Rx, Dental, and Vision – Open Access)
  • Long Term and Short-Term Disability (Company Paid Benefit)
  • Life Insurance (Company Paid Benefit)
  • Employee Assistance Program (EAP)
  • Generous Paid Time Off (PTO)
  • Paid Holidays
  • Voluntary Life and AD&D Insurance
  • Discount Programs for Consumer Products and Wellness Services

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Vacancy posted 26 days ago
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