Care Access is hiring a
Data Engineer

Summary

Join our technology team as a Senior Data Engineer to shape our data infrastructure and develop a robust, scalable data platform. Collaborate with data architects to design and implement high-performance data solutions while maintaining a hands-on approach to development and optimization.

Requirements

• 4+ years of experience in data engineering, working with cloud data platforms, particularly within Azure, with additional knowledge of AWS and Google BigQuery
• Proven experience building, developing, and optimizing data solutions in Azure Data Factory, Data Lake, Azure SQL Databases, and Power BI
• Proficiency in working with different data formats such as JSON, Parquet, and Avro
• Advanced SQL skills and experience in designing and maintaining complex data models
• Strong familiarity with data transformation tools and frameworks (ETL/ELT), version control (Git), and CI/CD pipelines for data projects
• Knowledge of data governance, data quality standards, and experience enforcing compliance with regulatory frameworks (e.g., HIPAA, 21 CFR Part 11)
• Strong problem-solving and troubleshooting skills with experience in performance tuning for large-scale data systems
• Excellent communication and collaboration skills with the ability to engage effectively with both technical and non-technical stakeholders
• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent work experience. Advanced degrees or relevant certifications are a plus

Responsibilities

• Collaborate with data architects to implement effective data platform solutions, focusing on scalability and performance, while also contributing to architectural discussions
• Build, configure, and optimize data pipelines to move and transform data efficiently using cloud-native services, primarily on Azure, with integration into AWS and Google BigQuery environments
• Support data migration from legacy systems, ensuring data quality and alignment with governance standards
• Conduct data modeling to support analytical needs, leveraging data lakes, warehouses, and marts
• Monitor and enhance data system performance by performing regular tests, troubleshooting, and implementing new features
• Assist in creating and maintaining a robust data governance model, ensuring data accuracy, consistency, and compliance with internal and external regulations (e.g., 21 CFR Part 11)
• Collaborate with stakeholders to address business needs and requirements, ensuring data systems are delivering value
• Lead efforts to ensure data security, implementing best practices for data access and privacy controls
• Provide mentorship to junior data engineers and support training initiatives for data team members
• Support continuous integration and delivery (CI/CD) practices in data engineering workflows

Benefits

• PTO/vacation days, sick days, holidays
• 100% paid medical, dental, and vision Insurance. 75% for dependents
• HSA plan
• Short-term disability, long-term disability, and life Insurance