Enterprise Data Engineer
Backend Developer
Azure
Azure Data Factory
Azure Data Platform
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Factory
Data Factory Azure
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
ETL
Google Cloud
Informatica
Information Technology (IT)
Integration
Microsoft Azure
MS SQL
Pyspark
SQL
Sql Server Integration Services
Job Description
Join Avera Health onsite in Sioux Falls, SD to help build and support enterprise data systems for reporting and analytics.
Responsibilities
- Design and develop enterprise data systems, including data warehouse and data lake
- Assist in building and maintaining ETL processes
- Create and support data pipelines that move data from source systems into storage platforms
- Perform data cleaning and preprocessing to support high data quality
- Monitor and troubleshoot data pipeline performance and address issues as they arise
- Maintain system logs and help ensure smooth operation of data workflows
- Assist with maintaining and upgrading existing data infrastructure (including databases and data warehouses)
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions
- Document data workflows, pipelines, and technical processes
- Keep clear, organized records for data sources and transformations
Requirements
- Bachelor’s degree in computer science, analytics, mathematics, business, or a related field (or equivalent combination of education and work experience)
- 2-3 years of relevant experience
- Knowledge of SQL and Python
- Familiarity with relational databases, including SQL Server
- Strong understanding of SQL for querying and manipulating relational data
- Exposure to data processing tools and frameworks across on-premises and cloud environments (examples include PySpark, ETL, SSIS, and Azure Data Factory)
- Ability to work effectively with cross-functional teams (data scientists, analysts, and engineers)
- Strong attention to detail and ability to follow standard operating procedures
- Familiarity with cloud platforms such as Databricks (AWS, Azure, GCP)
- Willingness to learn and develop skills in data engineering technologies
Technologies
- SQL, Python
- SQL Server
- PySpark
- ETL
- SSIS
- Azure Data Factory
- Databricks
- AWS, Azure, GCP
Benefits
- PTO available day 1 for eligible hires
- Up to 5% employer matching contribution for retirement
- Career development with hands-on training and mentorship
Preferred Qualifications
- Healthcare experience, with preference for Epic Electronic Health Record (Epic EHR)
Essential Qualifications
- Ability to work the specified hours for the position
- Visual acuity adequate to perform position duties
- Ability to communicate effectively with others, hear, understand, and distinguish speech and other sounds
- Reasonable accommodations may be available to enable individuals with disabilities to perform essential job functions, as long as accommodations do not cause undue hardship to the employer
Salary range: USD 73,840 - 111,800 per year
Location: Sioux Falls, SD (onsite)
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