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# Data Engineer

- **Company:** Jobot
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Amazon Web Services, Microsoft Azure, Information Systems, Databases, Data Governance, Data Infrastructure, Relational Databases, Database Design, Python (Programming Language), Systems Development Life Cycle, Power BI, SQL Databases, Tableau (Software), Google Cloud, Apache Spark, Data Strategy, Information Technology, Data Management, Data Delivery, Data Pipelines, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/6e2ad4f7-9cd8-4f3c-b2a9-0601f1e88320

## About the Role

1. Bachelor's degree in Computer Science, Information Systems, or a related field.
 2. 5+ years of experience in a Data Engineer role or related position.
 3. Proficiency in Python, Spark, SQL, and SDLC.
 4. Experience with Databricks, Tableau, PowerBI, and Excel.
 5. Strong knowledge of AWS, Google Cloud Platform, and Azure.
 6. Experience in the healthcare industry is preferred.
 7. Expertise in relational database theory, database design, and SQL.
 8. Proven ability to solve complex problems with a keen eye for detail.
 9. Strong communication skills and the ability to work effectively with a diverse team.
 10. Demonstrated ability to manage projects and lead teams to deliver high-quality results in a fast-paced, deadline-driven environment.

## Description

1. Design, build, and maintain robust and scalable data pipelines to support our rapidly growing and dynamic environment.
 2. Use a variety of languages and tools to marry systems together and integrate data from various data sources.
 3. Ensure the performance, reliability, and efficiency of databases.
 4. Collaborate with data scientists, BI analysts, IT professionals, and other stakeholders to understand data needs.
 5. Develop and implement data standards, ensuring data quality and consistency.
 6. Utilize cloud platforms (AWS, Azure, Google Cloud Platform) to optimize data delivery.
 7. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
 8. Leverage your experience in the healthcare sector to inform data strategies and solutions.
 9. Create data tools for analytics and data scientist team members to assist them in building and optimizing our product into an innovative industry leader.
 10. Use your advanced knowledge of Excel, PowerBI, and Tableau to create insightful dashboards and reports.