Data Engineer

DATA ENGINEER OPENING 

The Data Engineer at Carenet Health is responsible for building and maintaining the data solutions that supports our business intelligence and analytics efforts. This role involves designing robust data pipelines, integrating information from various sources, and ensuring data accuracy, security, and accessibility across enterprise platforms. By converting raw data into structured, high-quality datasets, the Data Engineer empowers teams across Carenet Health to make informed, data-driven decisions that enhance healthcare experiences and outcomes. 

Eligibility: Filipino Citizen

Work Schedule: 9pm - 6am PH time ( night shift) 

Set up: Remote / Hybrid - Makati Circuit

At Carenet Health, we're relentlessly focused on delivering clinically driven, consumer-centric engagement solutions rooted in powerful, one-on-one connections. One in five (65 million) Americans has access to our services, and we connect with 70,000 consumers daily about their health and wellness, coverage and benefits, care coordination and more.

Successful data engineer to actively participate in the design, development, and operation of a modern data platform that supports Carenet Health's business strategy and delivers trusted data-as-a-service capabilities with a focus on data quality, reliability, and ease of use.

SOME OF WHAT YOU WILL DO:

• Partner with BI teams, analysts, and business stakeholders to design, build, and maintain Carenet Health's enterprise data warehouse.

• Ingest and integrate data from both on-premises and cloud-based systems.

• Build, monitor, maintain, and troubleshoot complex data pipelines.

• Provision and manage infrastructure to support scalable and cost-effective data operations.

• Design and implement data marts, including DDL generation.

• Optimize data architectures for performance, security, and cost efficiency.

• Analyze raw data and create structured datasets for analytics and reporting.

• Enhance data quality, consistency, and efficiency through automation and best practices.

• Provide technical leadership in discussions around pipeline design, optimization, and implementation.

• at least 5+ years of experience as a Data Engineer, preferably with cloud-based data platforms (Azure strongly preferred).

• Advanced SQL expertise with a proven ability to optimize complex queries.

• Hands-on experience with Azure data services: Databricks, ADF, ADLS, Azure SQL; familiarity with Event Hub or Synapse is a plus.

• Knowledge of Medallion / Lakehouse architecture (bronze, silver, gold layers).

• Strong background in relational data modeling and data warehousing (dimensions, facts, star schemas).

• Experience with big data and distributed processing (Spark, Databricks, Delta Lake); exposure to Snowflake or Fabric a plus.

• Experience with CI/CD and version control (GitHub, Azure DevOps) for data pipelines.

• Familiarity with data security, privacy best practices, and compliance frameworks.

• Knowledge of NoSQL databases (document store, key-value).

• Proficiency in Python (PySpark preferred); additional languages such as C#, R, or JavaScript are beneficial.

• Excellent communication and collaboration skills to partner across technical and business teams.

• Strong organizational skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment.

• Energetic, adaptable, and committed to continuous learning and improvement.

Why Carenet?

At Carenet Health, we don't just deliver healthcare support; we create powerful patient experiences. Here, you'll be part of a mission-driven organization that thrives on innovation and teamwork. With opportunities for professional growth and a focus on work-life balance, this is more than a job—it's a career where you can make a lasting difference.

We're searching for the market's strongest candidate to join our group of innovators, collaborators, and builders in pioneering the next phase of Carenet's place in healthcare history. If this sounds like you, we need to connect

Additional Information: 

Note: Completion of assessments may be required before an applicant can move forward. Completing assessments must be done independently. Any discovery of unauthorized completion, whether during or after the hiring process, will result in disqualification or termination.

Carenet Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

Please note that we are not accepting resumes for this position from external staffing agencies or recruiters. To be considered for this role, please submit your application directly through our official career portal.