Data Engineer (Remote Work)
About the Company:
The company is a publicly traded healthcare technology firm specializing in value-based care and physician-led medical services. Through technology, data analytics, and partnerships with healthcare providers, it aims to improve patient outcomes while making healthcare more accessible and cost-effective.
About the Role:
The company is seeking an experienced Data Engineer to design, develop, and maintain scalable data infrastructure supporting its growing healthcare technology operations. This fully remote position focuses on building reliable data pipelines, integrating information from multiple sources, optimizing databases, and supporting analytics and data science teams. You will collaborate with data scientists, business intelligence analysts, IT professionals, and other stakeholders to understand data requirements, improve data quality, and develop solutions that support business and product objectives. The role also involves using cloud platforms and business intelligence tools to improve data delivery, reporting, and analytics capabilities.
Key Responsibilities:
Design, build, and maintain robust and scalable data pipelines.
Use various programming languages and tools to integrate systems and data from multiple sources.
Maintain database performance, reliability, and efficiency.
Collaborate with data scientists, BI analysts, IT professionals, and other stakeholders to understand data requirements.
Develop and implement data standards to maintain data quality and consistency.
Use cloud platforms, including AWS, Azure, and GCP, to optimize data delivery.
Work with stakeholders to resolve data-related technical issues and support data infrastructure requirements.
Apply healthcare industry knowledge to inform data strategies and solutions.
Develop data tools that help analytics and data science teams build and optimize products.
Use Excel, Power BI, and Tableau to create dashboards and reports that support data-driven decisions.
Required Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or a related field.
At least 5 years of experience in a Data Engineer role or a related position.
Proficiency in Python, Spark, SQL, and the Software Development Life Cycle (SDLC).Experience with Databricks, Tableau, Power BI, and Excel.
Strong knowledge of AWS, GCP, and Azure.
Expertise in relational database theory, database design, and SQL.Ability to solve complex problems with strong attention to detail.
Strong communication skills and the ability to work effectively with diverse teams.
Demonstrated ability to manage projects and lead teams in a fast-paced, deadline-driven environment while delivering high-quality results.
Preferred Qualifications: Experience in the healthcare industry.
Compensation & Benefits
Annual Salary:
$150,000–$200,000.401(k) match. Paid time off. Health and other company benefits. Fully remote work arrangement. Career growth opportunities.
Equal Opportunity:
Jobot is an Equal Opportunity Employer. The company provides an inclusive work environment and considers all qualified candidates without discrimination based on protected characteristics under applicable federal, state, or local laws. It also complies with applicable employment laws regarding consideration of unemployment status and criminal history in hiring decisions. Background checks may be conducted with candidate authorization. Applicant information is subject to Jobot’s Privacy Policy and applicable candidate privacy notices. By applying, candidates agree to receive calls, AI-generated calls, text messages, or emails from Jobot and its agents or contracted partners. Message and data rates may apply, and candidates can reply STOP to cancel or HELP for assistance.