Lead Data Engineer

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    "description_html": "<p><strong>NOTE</strong>: This is a full-time employment opportunity (open to W2, 1099 or C2C, no third parties, please). The candidate<strong> MUST </strong>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.</p><p><br></p><p><strong>Daily Responsibilities</strong></p><ul><li>The Lead Data Engineer is responsible for building and maintaining scalable data pipelines and ensuring efficient data ingestion, transformation, and processing across the platform.</li><li>Design and implement data ingestion pipelines (API, batch, FHIR).</li><li>Develop ETL/ELT processes using modern data engineering tools.</li><li>Optimize data processing performance and scalability.</li><li>Implement validation and monitoring mechanisms.</li><li>Collaborate with architecture and analytics teams.</li></ul>",
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    "requirements_html": "<ul><li>Must be authorized to work in the United States without sponsorship.</li><li>Must have resided in the United States for the past 3 years within the last 5 years.</li><li>Must be able to complete/pass/hold at a minimum a federal public trust investigation.</li><li>10+ years of experience in data engineering.&nbsp;</li><li>5+ years working with big data tools (e.g., Spark, Databricks)</li><li>Experience with cloud-based data platforms.&nbsp;</li><li>Strong programming and data pipeline development skills</li><li>Excellent communication and collaboration skills.</li><li>Bachelor’s degree in computer science or related field.&nbsp;</li></ul><p><br></p><p><br></p><p><strong>Our Comprehensive Employee Benefits Package Includes:</strong></p><ul><li>401(k) Retirement Plan (Employer Match)</li><li>Health Insurance Plans (Medical, Rx, Dental, and Vision – Open Access)</li><li>Long Term and Short-Term Disability (Company Paid Benefit)</li><li>Life Insurance (Company Paid Benefit)</li><li>Employee Assistance Program (EAP)</li><li>Generous Paid Time Off (PTO)</li><li>Paid Holidays</li><li>Voluntary Life and AD&amp;D Insurance</li><li>Discount Programs for Consumer Products and Wellness Services</li></ul><p><br></p><p>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.</p>",
    "requirements_text": "Must be authorized to work in the United States without sponsorship.\n Must have resided in the United States for the past 3 years within the last 5 years.\n Must be able to complete/pass/hold at a minimum a federal public trust investigation.\n 10+ years of experience in data engineering.\n 5+ years working with big data tools (e.g., Spark, Databricks)\n Experience with cloud-based data platforms.\n Strong programming and data pipeline development skills\n Excellent communication and collaboration skills.\n Bachelor’s degree in computer science or related field.\n Our Comprehensive Employee Benefits Package Includes:\n 401(k) Retirement Plan (Employer Match)\n Health Insurance Plans (Medical, Rx, Dental, and Vision – Open Access)\n Long Term and Short-Term Disability (Company Paid Benefit)\n Life Insurance (Company Paid Benefit)\n Employee Assistance Program (EAP)\n Generous Paid Time Off (PTO)\n Paid Holidays\n Voluntary Life and AD&D Insurance\n Discount Programs for Consumer Products and Wellness Services\n 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."
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