CuraLinc Healthcare is seeking a highly skilled Senior Data Engineer to enhance our data engineering capabilities and support our growing analytics and business intelligence initiatives. This role will focus on designing, building, and maintaining scalable data pipelines and architectures that ensure data reliability, security, and compliance across the organization. The ideal candidate is both a technical expert and a collaborative partner who thrives in driving innovation and delivering data solutions that align with business objectives.
CuraLinc Healthcare delivers transformative mental health care fueled by connectivity, marrying technology and personalized advocacy to support thousands of employers and millions of their employees throughout their mental health care journey.
CuraLinc Healthcare is a service-driven organization whose employees are treated with professionalism and respect. We believe that "a chain is only as strong as its weakest link" and, therefore, look to hire high-performing professionals with outstanding experience, work ethic and character.
We strive to provide all selected applicants with a smooth recruitment experience. Therefore, we ask that you complete an application for employment via curalinc.com/careers or this posting's easy apply. If you are selected for a position with CuraLinc, we will not ask for personal or financial information via email. Should you have any questions or concerns, please contact us via HR@curalinc.com.
Primary Responsibilities
- Design, Develop, and Maintain Scalable, Secure, and Efficient Data Pipelines
- Implement and Optimize ETL/ELT Workflows Using Tools Such as AWS Glue, Lambda, Step Functions, Apache Spark, or Microsoft Fabric
- Visualize Data Using Tools Like Amazon Quicksight, Power Bi, or Tableau
- Build and Optimize Data Lakes and Warehouses to Support Advanced Analytics
- Manage Large-Scale Datasets Using Amazon Redshift, Aurora, Dynamodb, or Microsoft Fabric
- Optimize Database Performance, Queries, and Overall Efficiency
- Develop and Enforce Best Practices for Data Governance, Security, and Compliance
- Partner with Data Scientists, Analysts, and Business Stakeholders to Deliver Tailored Data Solutions
- Work Closely with Product and Client Success Teams to Address Ad-Hoc Data Requests
- Automate Data Infrastructure and Processes Using Infrastructure-As-Code (IAC) Tools
- Monitor, Troubleshoot, and Ensure the Reliability and Availability of Data Pipelines
- Stay Current with Emerging Data Engineering Technologies and Methodologies
- Drive Innovation Within the Data Engineering Team and Contribute to Long-Term Technical Strategy
Required/Minimum Qualifications
- Bachelor’s or Master’s Degree in Computer Science, Information Systems, Engineering, or a Related Field
- 5+ Years of Experience in Data Engineering, with Proven Expertise in Building and Managing Large-Scale Data Pipelines
- Proficiency in AWS or Microsoft Fabric Environments
- Strong Programming and Analytical Skills in Python, Java and SQL
- Experience with ETL/ELT Workflows, Data Lakes, and Data Warehouse Optimization
- Strong Knowledge of Data Governance, Security, and Compliance Best Practices
CuraLinc Healthcare delivers transformative mental health care fueled by connectivity, marrying technology and personalized advocacy to support thousands of employers and millions of their employees throughout their mental health care journey.
CuraLinc is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, age, national origin or disability.
