Data Engineer (ETL Developer

In this role, you will design, develop, and support scalable data and database solutions that enable analytics and innovation across healthcare-focused client initiatives. You will collaborate with cross-functional teams to build modern data pipelines, optimize relational databases, and contribute to cloud-based data platforms. You will apply strong SQL and Python expertise to enhance performance, reliability, and data accessibility while supporting advanced analytics and Artificial Intelligence/Machine Learning (AI/ML) use cases., · Design, build, test, and optimize relational database solutions using SQL Server and Azure SQL, including T-SQL queries, stored procedures, and data models.

· Improve database performance, reliability, and scalability through indexing strategies, query tuning, and optimization techniques.

· Develop and maintain scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to integrate data across cloud-based platforms.

· Build and support data pipelines and workflows using Azure SQL, Databricks, Apache Spark, Python, and PySpark.

· Design and implement relational and dimensional data models, including Slowly Changing Dimension (SCD) patterns.

· Support AI/ML initiatives by developing and maintaining data pipelines and feature datasets used for model training and analytics.

· Utilize Python to enable data preparation, analytics workflows, and experimentation for machine learning use cases.

· Collaborate with data science teams to operationalize models using Spark, ML frameworks, or cloud-based ML services.

· Participate in design discussions, code reviews, and Agile ceremonies to ensure high-quality and maintainable solutions.

· Partner with application developers, data engineers, BI teams, and analytics partners to deliver integrated solutions.

· Troubleshoot production issues, conduct root cause analysis, and implement sustainable resolutions.

· Adhere to data governance, security, and quality standards to ensure compliance and data integrity.

· Relevant degree preferred. Bachelor's degree in Computer Science, Information Systems, or a related field preferred.

· 7+ years of relevant experience required.

· Experience developing and supporting database solutions using SQL Server or Azure SQL required.

· Strong proficiency in T-SQL, including query development, performance tuning, and optimization required.

· Hands-on experience using Python for data processing, analytics, or data engineering workflows required.

· Experience with Databricks, Apache Spark, or similar distributed data processing platforms required.

· Understanding of data warehousing concepts, dimensional modeling, and ETL/ELT pipelines required.

· Experience working in Azure cloud environments required.

· Experience with .Net, C#, .Net Core, Angular and AI/ML preferred.

· Strong analytical, problem-solving, and written and verbal communication skills.

· You must be authorized to work in the United States without sponsorship now and in the future.