Cloud Data Engineer – Data Modeling, Simulation, Azure

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $112.8k - $140.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Design and implement test environments simulating production-scale data loads from 200+ healthcare facilities • Create models of data transformation processes to validate ETL accuracy, completeness, and performance • Build automated testing frameworks for health data quality and pipeline reliability • Develop test data generators representing healthcare data patterns, edge cases, and error conditions • Implement load testing and performance validation solutions for Azure-based data pipelines and services • Create and maintain testing environments for HL7 FHIR data transformations and related data standards • Collaborate with data engineers, architects, and developers to ensure end-to-end data pipeline quality • Assist with data engineering aspects of the Four Directions Data Warehouse project, including design and code reviews • Provide technical leadership and guidance on testing architecture, data validation approaches, and best practices • Support the IHS Four Directions Data Warehouse project and its modernization from RPMS to a new EHR ecosystem

🎯 Requirements

• Technical training, certification(s), or degree and 5+ years of relevant experience, or equivalent combination of education and experience • 5+ years of related experience • Strong experience with Azure data services, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Data Factory or Synapse pipelines • Expertise in creating test automation frameworks and performance testing solutions for data pipelines • Proficiency in Python and SQL • Experience with Infrastructure as Code, such as Bicep, ARM, or Terraform • Proven experience implementing automated testing pipelines and DevOps practices, including CI/CD, in a data engineering context • Experience simulating and testing large-scale data processing systems in the cloud • Must be able to obtain a Public Trust Level 5 clearance • Must have resided in the U.S. for at least 3 of the past 5 years for clearance eligibility • Work visa sponsorship will not be provided • U.S. citizenship is not required • Azure certifications such as DP-203, DP-300, or AZ-305 are nice to have • Experience with healthcare data systems, clinical data, and HIPAA compliance requirements is nice to have • Knowledge of HL7 FHIR standards is nice to have • Experience with performance testing and monitoring tools such as Azure Monitor, Application Insights, Log Analytics, JMeter, or Locust is nice to have • Experience with distributed systems testing, chaos/failure mode simulations, and resiliency validation is nice to have • Background in data quality assurance, data governance, and validation methodologies is nice to have • Experience working in Agile environments and contributing to technical leadership is nice to have • Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field is nice to have

🏖️ Benefits

• 401(k) with company match • Customizable health benefits packages, including medical, dental, and vision plan options • Health Savings Accounts on some medical plans • Full flex work weeks where possible • Vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Internal mobility and career development opportunities • Collaborative teams of highly motivated critical thinkers and innovators