Data Engineer

Employment Type: Full-time | Division: Technology

Category: Data Engineering / Business Intelligence

About The Role

The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and systems that enable scalable, secure, and efficient data storage, processing, and analysis. This role plays a vital part in building and managing data pipelines, ensuring data integrity, and supporting enterprise-wide analytics and business intelligence initiatives. The ideal candidate will combine strong technical expertise with analytical insight to drive data-driven decision-making across the organization.

Responsibilities

Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from multiple sources into modern data storage systems
Integrate data from diverse platforms, including databases, data warehouses, APIs, and external systems
Develop and document business intelligence (BI) solutions aligned with organizational standards and best practices
Collaborate with cross-functional teams to share knowledge and ensure consistent delivery of information across the enterprise
Analyze, diagnose, and resolve reporting, ETL, and data quality issues
Ensure data consistency, integrity, and validation throughout all integration and transformation processes
Optimize data workflows and pipelines for performance, scalability, and reliability
Implement data quality checks and monitoring to ensure accuracy and completeness of information
Monitor system performance, identify and resolve bottlenecks, and apply optimization strategies such as caching and indexing
Support AI, ML, and BI initiatives by designing data solutions that enable advanced analytics and automation

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field (or equivalent experience)
6+ years of experience in data management disciplines such as data integration, modeling, and optimization
Proven experience developing and maintaining data warehouses in big data environments (e.g., Snowflake)
Expertise in SQL and proficiency with data science tools/languages such as Python, R, SAS, and Excel
Strong knowledge of modern data architectures, including cloud platforms (AWS, Azure, GCP) and data tools such as Snowflake and Databricks
Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
Advanced problem-solving and debugging skills, with the ability to troubleshoot complex data systems
Strong collaboration and communication skills to work across teams and educate stakeholders on data solutions
Excellent business acumen and the ability to translate between business, technical, and analytical perspectives

Preferred Qualifications

Master’s degree in Information Systems, Business Intelligence, Analytics, or a related field
Familiarity with Apache technologies (Kafka, Airflow, Spark) for scalable data pipeline development
Experience with programming languages such as Java, Python, or C/C++
Epic Caboodle Developer Certification
Experience in healthcare data systems or enterprise analytics environments

GHR Healthcare

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