Data Engineer III - (Information Architecture) (Memphis, TN or Remote in USA)

St. Jude Children's Research Hospital - ALSAC is a respected nonprofit dedicated to curing childhood cancer. The Data Engineer III will design, build, and maintain the data infrastructure that supports analytics and decision-making, while mentoring other engineers and ensuring high-impact solutions are delivered.

Responsibilities:

• Design, build, and maintain scalable, optimized data pipelines that support business intelligence and analytics use cases
• Partner with Enterprise, Solution, Technical Architecture, and Infrastructure teams to evolve data platform architecture
• Perform conceptual and logical data modeling to assemble data sets of varying size and complexity
• Develop and manage ETL/ELT processes using AWS and SQL-based technologies
• Implement analytical solutions that generate actionable insights into operational efficiency, donor acquisition, and key business metrics
• Collaborate with data, product, design, and executive stakeholders to support data needs and resolve technical issues
• Serve as a technical lead for Data Engineer I and II teammates by coaching, mentoring, and reinforcing best practices
• Conduct testing and root cause analysis to troubleshoot data quality, performance, and integration issues
• Provide structured and ad‑hoc knowledge sharing and documentation across teams
• Support data access configuration, integrations, and onboarding standards
• Partner with governance and security teams to enable data cataloging, lineage, and discovery (e.g., Alation or similar tools)
• Assist with administration and configuration of data platform tools, including access management and integrations

Requirements:

• Strong proficiency in SQL for development and analysis
• Hands‑on experience building and optimizing large‑scale data pipelines and architectures
• Solid understanding of dimensional data modeling and data warehousing concepts
• Experience sourcing and integrating complex data from multiple systems into a data lake or enterprise data platform
• Strong analytical and problem‑solving skills, including root cause analysis of data and processes
• Ability to design processes supporting data transformation, orchestration, dependency management, and metadata
• AWS data services including S3, Lambda, Glue, Athena, Redshift, RDS, EMR, EC2, and VPC configurations
• API and integration experience using tools such as AWS Lambda, Mulesoft, SSIS, or Confluent
• Workflow and orchestration tools such as Airflow, Luigi, or Azkaban
• Stream processing and big data technologies including Kafka, Spark, Spark Streaming, and Kafka Streams
• Relational and NoSQL databases such as SQL Server, MongoDB, and DynamoDB
• Experience with CI/CD and DevOps practices, including database source control and deployments (Liquibase, DB Up, SSDT)
• Programming experience in Python, Java, Scala, or C++
• Security‑minded approach with experience building compliance‑aware applications
• Familiarity with data observability and metadata platforms supporting discovery, lineage, and stewardship
• Experience partnering with security, platform, and governance teams to support standards and adoption
• Acts as a technical lead and mentor for junior engineers
• Contributes to defining best practices, SOPs, and target‑state architecture
• Influences data engineering standards across the organization
• Bachelor's degree in Engineering, Information Technology, or a related field plus 5–8 years of relevant experience
• Master's degree preferred, especially with experience partnering directly with executive and cross‑functional stakeholders