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

St. Jude Children's Research Hospital; Charlotte (NC); Remote; USD 90,000 - 130,000; Full time

Job summary

Join a respected nonprofit organization dedicated to curing childhood cancer as a Cloud Data Engineer III. In this pivotal role, you will leverage cutting-edge AWS technologies to design and optimize data processing solutions that drive business value. Collaborate with diverse teams to enhance data infrastructure and ensure operational efficiency. Your expertise will guide strategic cloud architecture decisions and mentor junior engineers, making a tangible impact on the organization's mission. This is an exciting opportunity to contribute to meaningful work while advancing your career in a supportive environment.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401K with 7% employer contribution

Paid Time Off

Maternity/Paternity Leave

Adoption Assistance

Education Assistance

Learning & Development

Qualifications

• 5-8 years of relevant experience in data engineering.
• Proficiency in SQL and AWS services for data processing.

Responsibilities

• Develop and maintain scalable data processing software and pipelines.
• Lead design of cloud-native architectures and mentor junior engineers.

Skills

SQL

Data Modeling

AWS Core Services

Kafka

Spark

DevOps

ETL/ELT Processes

Communication Skills

Education

Bachelor's Degree

Tools

AWS Redshift

AWS S3

AWS Glue

AWS Lambda

dbt

Airflow

DynamoDB

Job description

At ALSAC, you do more than make a living; you make a difference.

We value diversity and innovation, standing out as one of the world's most respected nonprofits. Join us in our mission to help St. Jude cure childhood cancer, where your unique background and perspective can make a real impact. We develop and celebrate our employees, encouraging you to bring your authentic self to our shared mission: Finding cures. Saving children.

Job Description

As an ALSAC Cloud Data Engineer III, you will design, develop, and maintain scalable data processing software, data modeling, pipelines, transformations, databases, and supporting cloud infrastructure to solve complex business problems. Using the latest AWS cloud technologies, you will develop data engineering solutions, optimize big data pipelines, and ensure security, compliance, and operational efficiency. Collaborating with leadership, Data & Analytics teams, IT Architecture, and stakeholders, you will create a cloud-native data infrastructure that enhances business value and supports donor acquisition and operational excellence.

You will serve as a strategic contributor to the Business Intelligence (BI) Cloud Platform team, mentoring junior engineers, recommending reference architectures, and promoting best practices in data lifecycle management, security, privacy, and cloud migration strategies. This role requires technical expertise, analytical problem-solving, and the ability to communicate complex concepts to diverse audiences.

Essential Job Functions

1. Data Infrastructure Development: Develop and maintain data processing software, data models, big data pipelines, and databases using AWS services (e.g., Redshift, S3, Glue, Athena, Lambda) and tools like Kafka, Spark, Airflow, Python, dbt, CData.
2. Cloud Architecture Design: Lead the design of cloud-native architectures, promoting AWS services adoption and hybrid strategies for migrations, including experience with Microsoft SQL Server to AWS migration.
3. Strategic Consultation: Guide Data & Analytics, Data Science, IT leadership, and business partners on cloud architecture, data protection, scalability, and infrastructure needs, aligning with ALSAC’s policies and data governance frameworks.
4. Data Optimization & Analytics: Build and optimize large datasets and pipelines to support analytics, data science, and performance metrics, focusing on quality engineering.
5. Mentorship & Leadership: Lead and mentor Data Engineer I and II, sharing knowledge on platforms, SOPs, and best practices.
6. DevSecOps Implementation: Incorporate automation, testing, quality assurance, and compliance in software and infrastructure delivery.
7. Stakeholder Collaboration: Work with various teams to resolve technical issues, align strategies, and improve data access for insights.
8. Risk Mitigation: Identify and address risks related to data privacy, security, and sustainability, utilizing AWS security services.
9. Innovation & Trends: Research emerging technologies and industry trends to support innovation and automate data tasks.
10. Communication: Clearly communicate the value of cloud tools and architectures to all audiences, including senior leadership.

Job Requirements

• Proficiency in SQL for development and analysis.
• Expertise in data modeling, warehousing, and pipeline optimization.
• Hands-on experience with AWS core services and tools like Kafka, Spark, DynamoDB, etc.
• Knowledge of API integration, ETL/ELT processes, and data lake ecosystems.
• Experience with DevOps, CI/CD, source control, and deployment techniques.
• Understanding of stream processing and object-oriented scripting languages.
• Leadership in growing cloud engineering practices.
• Bachelor's Degree with 5-8 years of relevant experience.
• Excellent communication, organizational, and teamwork skills.
• Additional experience with dbt, Airflow, SageMaker, SQL Server, security frameworks, and AWS services.
• Experience with migrating on-premise SQL Server to AWS and managing VPCs.
• Knowledge of AWS cost management and optimization.

Benefits & Perks

These benefits apply to full-time roles:

• Medical, Dental, Vision insurance
• 401K with 7% employer contribution
• Paid Time Off, Maternity/Paternity Leave, Adoption Assistance
• Education Assistance, Learning & Development
• And more

ALSAC is an equal opportunity employer and does not discriminate based on protected statuses.

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