Assoc Cloud Data Engineer

Government Employees Health Association•Summit, MO

18h•Remote

About The Position

Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care. G.E.H.A has one mission: To empower federal workers to be healthy and well. As an Assoc Cloud Data Engineer, you will be assisting in developing and maintaining scalable data pipelines on Microsoft Azure based technologies. You will collaborate with business data analysts, project managers, and G.E.H.A’s business stakeholders to build solutions that ensure seamless data flow and enable actionable insights. This role supports data development and maintenance efforts of the Data & Analytics activities and initiatives in alignment with the Enterprise Data strategy, policies, and organizational goals. This role will work in a cloud-native environment to design and optimize data solutions that improve performance, scalability, and efficiency of our data and analytics offerings.

Requirements

Requires 1-2 years of relevant technical or business work experience with preferred experience within healthcare industry or data and analytics.
Experience with Snowflake data platform , including schema design, data sharing, internal & external marketplace, and familiarity with different features.
Bachelor’s degree in computer science, Information Technology, Data Engineering, Mathematics, or a related field or comparable experience.
Firsthand experience with Microsoft Azure tools such as Azure Data Factory (ADF), Azure SQL Database, Azure Synapse, Azure Data Lake Storage (ADLS), and other Azure services.
Hand-on experience in Data Query language, like SQL, and experience with writing queries, stored procedures, and managing datasets.
Good understanding of ETL/ELT frameworks, ideally in Azure Data Factory or Azure Synapse.
Competent SQL skills or equivalent such Python, R, Apache Spark etc.
Familiarity with DevOps practices and CI/CD pipelines for data solutions.
Passion & eagerness to learn innovative technologies & techniques; eagerness towards understanding data & business processes to contribute & are effective.
Ability to work in a collaborative, cross-functional team environment.
Basic understanding of Agile and Scrum processes.
Prior knowledge or willingness to learn healthcare and analytics industries.
Work-at-home requirements Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office. A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required. Latency (ping) response time lower than 80 ms Hotspots, satellite and wireless internet service is NOT allowed for this role. A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Responsibilities

Support the cloud data framework that aligns with the Enterprise Data Strategy, policies, and organizational goals.
Design and Build Data Pipelines: Develop scalable, efficient, and secure ETL/ELT pipelines for ingesting, processing, storing, and consuming large datasets on Azure or Snowflake.
Cloud Data Architecture: Design and implement data solutions in Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) to support analytics, business intelligence, and data science initiatives.
Collaborate with Stakeholders: Work closely with cross-functional teams, including business data analysts, data architects, data scientists, project managers and business units, to understand data requirements and implement data solutions that support business goals.
Data Security, Governance & Compliance: Follow the company standards and industry best practices to ensure data privacy, security, and compliance with relevant governance in the cloud environment.
Automation and Monitoring: Implement and manage automated monitoring and logging for all data workflows and pipelines to ensure data integrity and operational reliability.
Troubleshooting and Support: Troubleshoot issues with data pipelines, data integrity, and platform performance, providing timely resolutions to business-critical data needs.
Ensure that all deliverables follow the company Change Management process.
Participate in scrum, backlog grooming, refinement, planning and review sessions.
Other duties as assigned.

Benefits

Competitive pay/salary ranges
Incentive plan
Health/Vision/Dental benefits effective day one
401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution
Robust employee well-being program
Paid Time Off
Personal Community Enrichment Time
Company-provided Basic Life and AD&D
Company-provided Short-Term & Long-Term Disability
Tuition Assistance Program