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
Build and maintain enterprise-grade data pipelines that support reporting and analytics through reliable data systems.
Responsibilities
- Design and develop data warehouse and data lake solutions
- Assist with building and maintaining ETL processes
- Create data pipelines to move data from source systems into storage platforms
- Support data cleaning and preprocessing to maintain high data quality
- Monitor and troubleshoot data pipeline performance, addressing issues as they occur
- Maintain system logs and support 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 requirements and deliver solutions
- Document data workflows, pipelines, and related technical processes
- Keep organized records for data sources and data 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 programming languages such as SQL and Python
- Familiarity with relational databases such as SQL Server
- Strong understanding of SQL for querying and manipulating relational data
- Exposure to data processing tools and frameworks for on-premises and cloud environments (e.g., PySpark, ETL tools, SSIS, Azure Data Factory)
- Ability to collaborate with cross-functional teams, including data scientists and analysts
- Strong attention to detail and ability to follow standard operating procedures
- Familiarity with cloud platforms such as Databricks (also 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 supported by hands-on training and mentorship
Preferred Qualifications
- Healthcare experience, with preference for Epic Electronic Health Record (Epic EHR)
Essential Qualifications
- Ability to work the hours specified in the role
- Visual acuity adequate to perform position duties
- Ability to communicate effectively, hear, understand, and distinguish speech and other sounds
- Reasonable accommodations may be made for disabilities, provided accommodations do not cause undue hardship to the employer
Location: Sioux Falls, SD (onsite)
Salary: USD 73,840 - 111,800 per year
Experience Level: 2 years minimum
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