Data Engineering Manager

Jobot; Alhambra (CA); Remote; USD 160,000 - 220,000; Full time

Benefits offered by this job

401K match

PTO

Benefits

Job summary

Jobot is seeking a fully remote Data Engineering Manager to lead a team of data engineers and drive the development of scalable data architectures and pipelines in a healthcare technology environment.

You will oversee data systems on AWS/Azure, implement ETL/ELT processes, and ensure data privacy and compliance while collaborating with data scientists and analysts to deliver impactful data solutions.

Qualifications

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

Responsibilities

• Manage a team of data engineers to design, develop, test, and maintain data architectures, databases, and processing systems.
• Develop and implement data engineering strategies to optimize data flow and collection to ensure information accessibility and accuracy.
• Oversee the deployment of data pipelines in production based on Continuous Delivery practices.
• Collaborate with data scientists, data analysts, and other stakeholders to understand data needs and deliver solutions.
• Drive the selection and implementation of data tools and frameworks, and data-related API integration.
• Ensure data privacy and compliance with healthcare regulations.
• Develop and maintain data systems in AWS, Azure, or similar cloud platforms.
• Utilize ETL and ELT processes for data extraction, transformation, and loading.
• Monitor, troubleshoot, and optimize data systems for performance and reliability.

Skills

SQL

Python

Spark

Snowflake

Databricks

PowerBI

Education

Bachelor's degree in Computer Science/Information Technology or related field

Tools

AWS

Azure

Job description

Data Engineering Manager

$160000 - $220000 per year | Alhambra, CA | Remote | Permanent

Fully Remote Data Engineering Manager Opportunity - Publicly Traded Fast Growing HealthCare Technology Firm

A bit about us:

We are a publicly traded healthcare company specializing in value-based care and physician-led medical services. Through technology, data analytics, and partnerships with healthcare providers, we aim to improve patient outcomes while making healthcare more accessible and cost-effective.

Why join us?

• Competitive Base Salary!
• 401K match, PTO, and excellent benefits!
• Accelerated Career Growth!
• 100% Remote!

Job Details

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.

Responsibilities

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

Qualifications

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

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.