Hybrid Data Engineer

at Sanford Health

• Job title: Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $35 - $57 per hour
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, Cloud, Microservices, Postgres, Python, Scala, SQL
• Location requirements: Hybrid, Sioux Falls, United States

About the role

• Data Engineer with Sanford Health implementing and managing data pipelines. Collaborating cross-functionally to ensure data quality and performance across health systems.

Responsibilities

• Assemble and manage large, complex datasets that meet both non-functional and functional business requirements.
• Identify, design, and implement internal process improvements to enhance scalability, optimize data delivery, and automate manual processes.
• Build and maintain optimal data pipeline architecture for efficient extraction, transformation, and loading of data from various sources.
• Provide technical expertise and support for data-related issues.
• Partner with data and analytics experts to enhance functionality and performance of data systems.
• Design and deploy frameworks and microservices to serve data assets to data consumers.
• Performs root cause analysis on data and processes to identify opportunities for improvement.
• Act as a trusted advisor and partner to business leads, understanding their needs, interpreting data drivers, and aligning data strategies with business goals.
• Evaluate customer requirements and contribute to the development of structural necessities within the data architecture.
• Ensure database implementation procedures comply with relevant regulations.
• Organize data within cloud storage and implement appropriate security measures.
• Collaborate cross-functionally with multiple teams within the organization.
• Works independently and collaboratively in a team environment.
• Excellent analytical and problem-solving abilities.
• Strong attention to detail to ensure accuracy and predictability of data pipelines.
• Effectively communicates with engineers, product managers, and analysts to understand data needs.
• Commitment to building secure, resilient, and fault-tolerant architectures with clear documentation and support procedures.

Requirements

• Bachelor’s degree required in data engineering, data analytics, computer engineering, or a related field.
• Minimum of 3 years’ experience in data engineering or database analytics.
• Must have strong programming skills in Python, Scala, and SQL.
• Advanced SQL knowledge and experience working with relational databases.
• Prior work with various data management technologies such as RedShift, Postgres, or Snowflake is preferred.