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# Data Engineering Manager

- **Company:** Jobot
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Databases, Continuous Delivery, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Systems, Python (Programming Language), Power BI, Standard Sql, Data Streaming, Snowflake, Apache Spark, Information Technology, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/83ec71df-3911-4f5e-9ca2-c1c50c70c171

## About the Role

1. Bachelor's degree in Computer Science, Information Technology, or a related field.
 2. 5+ years of experience in data engineering, database management, or a related field.
 3. Proven experience managing a team of data engineers.
 4. Strong experience with data architecture, databases, and processing systems.
 5. Proficient in SQL, Python, Spark, Snowflake, Databricks, and PowerBI.
 6. Experience with ETL and ELT processes.
 7. Familiarity with AWS, Azure, or similar cloud platforms.
 8. Experience in the healthcare industry is a plus.
 9. Excellent problem-solving skills, with an ability to analyze complex data.
 10. Strong leadership and project management skills.
 11. Excellent written and verbal communication skills.

Join us and contribute to transforming the Tech Services industry with cutting-edge data solutions. We look forward to hearing from you.

## Description

Fully Remote Data Engineering Manager Opportunity - Publicly Traded Fast Growing HealthCare Technology Firm, We are seeking a highly motivated and experienced Permanent Data Engineering Manager in the Tech Services industry. This is an incredible opportunity to lead a team of data engineers and drive the development of innovative, cutting-edge data solutions in a fast-paced environment. You will be responsible for managing the design, development, and maintenance of our data architecture, databases, and processing systems., 1. Manage a team of data engineers to design, develop, test, and maintain data architectures, databases, and processing systems.

 2. Develop and implement data engineering strategies to optimize data flow and collection to ensure information accessibility and accuracy.
 3. Oversee the deployment of data pipelines in production based on Continuous Delivery practices.
 4. Collaborate with data scientists, data analysts, and other stakeholders to understand data needs and deliver solutions.
 5. Drive the selection and implementation of data tools and frameworks, and data-related API integration.
 6. Ensure data privacy and compliance with healthcare regulations.
 7. Develop and maintain data systems in AWS, Azure, or similar cloud platforms.
 8. Utilize ETL and ELT processes for data extraction, transformation, and loading.
 9. Monitor, troubleshoot, and optimize data systems for performance and reliability.