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Data Engineer Healthcare Data & Analytics Job Title: Data Engineer Healthcare Data & Analytics Experience: 5+ Years Employment Type: Full-Time Work Mode: Remote Industry: Healthcare Technology Job Summary We are looking for an experienced Data Engineer to design, develop, and maintain scalable data platforms and analytics solutions for healthcare applications. The ideal candidate will have strong hands-on experience with Snowflake, SQL, Python, Spark, Azure, Kubernetes, Airflow, and GitHub/CI/CD. Experience with Databricks and AI/ML model deployments is highly preferred. The candidate will work closely with data engineers, data scientists, ML engineers, analysts, and business stakeholders to build reliable data pipelines, support analytics initiatives, and enable production deployment of AI/ML solutions in a healthcare environment. Key Responsibilities Design, develop, and maintain scalable data pipelines and data processing solutions. Build and optimize data solutions using Snowflake, SQL, Python, and Spark. Develop data processing workflows using Apache Spark/PySpark. Work with Azure cloud services to build and support enterprise data solutions. Develop and manage data workflows and orchestration using Apache Airflow. Work with Databricks for data engineering and analytics workloads. Implement CI/CD pipelines using GitHub and related DevOps practices. Support deployment and operationalization of AI/ML models in production environments. Work with Kubernetes for containerized application and model deployments. Perform data validation, cleansing, transformation, and quality checks. Develop solutions that support healthcare data analytics and reporting requirements. Collaborate with Data Scientists, ML Engineers, Analysts, and business teams to deliver analytics-ready datasets. Troubleshoot data pipeline, application, and deployment issues. Optimize data processing jobs, SQL queries, and cloud resources for performance and scalability. Follow best practices for data security, governance, privacy, and compliance. Contribute to technical documentation, code reviews, testing, and Agile development activities. Required SkillsData Engineering Strong experience with SQL Python Apache Spark / PySpark Snowflake Data Engineering and Data Pipeline Development Data Transformation and Data Quality Cloud & Modern Data Platforms Microsoft Azure Databricks Preferred Cloud-based data engineering and analytics Experience with scalable data processing architectures DevOps & Deployment GitHub CI/CD pipelines Kubernetes Containerized application/model deployment Production deployment and troubleshooting Data Orchestration Apache Airflow Workflow orchestration and scheduling Pipeline monitoring and troubleshooting AI/ML Understanding of AI/ML model deployment Experience supporting ML model productionization Familiarity with ML pipelines and model serving is an advantage Data Analytics Strong data analysis skills Data validation and profiling Data interpretation and troubleshooting Experience supporting business analytics and reporting Healthcare Domain Experience in the Healthcare domain is preferred. Candidates with experience working with healthcare datasets, analytics platforms, clinical data, claims data, healthcare applications, or healthcare reporting solutions will be highly preferred. Knowledge of healthcare data privacy, security, governance, and compliance requirements is an advantage. Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 5+ years of experience in Data Engineering, Data Analytics, or a related technical role. Strong hands-on experience with SQL, Python, Snowflake, and Spark. Experience working with Azure cloud environments. Experience with Airflow and CI/CD. Strong understanding of data engineering and analytics concepts. Excellent problem-solving and troubleshooting skills. Good communication and collaboration skills. Preferred Qualifications Hands-on experience with Databricks. Experience with AI/ML model deployment and MLOps. Strong Kubernetes experience. Healthcare/Healthcare Technology domain experience. Experience with Azure data services. Knowledge of healthcare data standards and compliance. Experience working in Agile/Scrum environments. Work Location: Hybrid remote in Remote .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.