Data Engineer
About The Position
The Data Engineer is a key member of the Information Systems (IS) – Data Analytics team and is responsible for designing, building, and maintaining scalable data pipelines and data platforms that enable analytics, reporting, and advanced data solutions across the organization. This role partners closely with analytics, business, and IT teams to transform structured and unstructured data into reliable, high-quality data products. The Data Engineer plays a critical role in operationalizing data for analytics, supporting predictive and prescriptive use cases, and continuously improving data architecture, automation, and performance. The ideal candidate is a hands-on data and software engineer with strong Azure data engineering experience, a passion for solving complex business problems with data, and the ability to collaborate effectively in a fast-paced, cross-functional environment.
Requirements
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field is preferred.
- A minimum of 5 years of experience with Big Data technology and writing complex T-SQL scripts in SSMS to interact with relational databases is required.
- Experience performing root cause analysis on internal and external data and processes is critical.
Responsibilities
- Design, develop, optimize, and maintain scalable data architectures and pipelines aligned with ETL best practices using Azure Data Factory, Databricks, and SSIS
- Build and manage structured and unstructured data pipelines supporting analytics, reporting, and downstream data products
- Develop and optimize complex SQL and T-SQL scripts (DDL, DML, DQL, TCL) across relational databases including SQL Server and DB2
- Implement data transformation, validation, and data quality checks to ensure reliable and trusted data
- Prepare and structure data to support descriptive, predictive, and prescriptive analytics use cases
- Troubleshoot data issues and perform root cause analysis across systems and processes
- Support deployment of data solutions into production environments with a focus on stability, scalability, and operational efficiency
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
