PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
QUALIFICATIONS
EDUCATION: Bachelor’s degree in related field required. Master’s degree preferred.
EXPERIENCE:
Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
KNOWLEDGE, SKILLS AND ABILITIES
TYPICAL WORKING CONDITIONS
OTHER PHYSICAL REQUIREMENTS
PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.
