WELL Health Technologies Corp.
Senior Data Engineer
Remote USA · Senior · Contract
Sponsorship not specified$100k-$120kDetected 36 days ago
PythonC#PowerShellGitSQLNoSQLDatabricksAWSAzureCI/CDDevOpsSparkData AnalysisData EngineeringData ScienceUnityCommunicationProblem Solving
About the role
- Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries.
- Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands.
- Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Responsibilities
- Create and execute Proofs of Concept and Proofs of Technology.
- Lead and direct the work of others in data dependent projects.
- Design, develop, and maintain ETL/ELT pipelines using Databricks (PySpark, Delta Lake, SQL).
- Implement Data Lakehouse architecture leveraging Databrick Unity Catalog, Delta Live Tables, and Workflows.
- Build and optimize data ingestion frameworks for structured and unstructured data from diverse sources.
- Optimize Databricks clusters, jobs, and queries for performance and cost efficiency.
- Collaborate with software development, business teams, and data scientists to create and execute implementations.
- Lead and mentor data engineers on data projects.
- Implement CI/CD for data pipelines using Git, Databricks Repos, and DevOps tools.
- Data Storage Design
Nice to have
- It is not typical for offers to be made at or near the top of the range.
- Market and organizational factors are also considered.
Skills
- Proficiency in Python, SQL and distributed data processing frameworks (Spark), and familiar with C#, PowerShell, and APIs.
- Experience with data lineage, cataloging, and metadata management in Databricks and Unity Catalog.
- Skill in data modeling and experience with tools like ER/Studio or Erwin.
- Familiarity with version control (Git) and DevOps/CI-CD practices.
- Familiarity with SQL performance tuning and Spark optimization techniques.
- Excellent problem-solving and communication skills.
- Minimum of 5 years Data Engineering experience in an enterprise environment.
- Bachelor's degree in technology or like field required.
- Don't meet every single requirement?
- Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.
- Additional Information for US based jobs:
- Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce.
Compensation
- Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
- The expected base salary for this position ranges from $100,000 to $120,000.
- Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained.
- In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
Benefits
- Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained.
- In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
- Create data architecture, pipelines, and analytical solutions to meet software and data science requirements for various PG-MX Healthcare Products.
Company info
- We empower organizations to deliver the best experiences.
- With industry expertise and technology, we turn data into insights that drive innovation and action.
- To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
- Does analytical data flow through your veins?
- Are you fluent across cloud, on-premises, platforms, and technologies?
- Do you have deep healthcare experience?
- Do you love understanding strategic direction, creating design and direction, then getting fingers on the keyboard?
- This role is for a Senior Data Engineer with strong data architecture experience.
- This person will design, develop, and support solutions to transport, store, and analyze our analytical data.
Equal opportunity
- All your information will be kept confidential according to EEO guidelines.
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This listing is sourced directly from WELL Health Technologies Corp.'s careers page and normalized into a canonical job model.