WELL Health Technologies Corp.

WELL Health Technologies Corp.

Staff Data Engineer ( Boston or Chicago )

Chicago, IL · Staff+ · Contract

Sponsorship not specified$100k-$140kDetected 36 days ago
PythonGitDatabricksAWSAzureCloud PlatformsDockerKubernetesCI/CDDevOpsPlatform EngineeringMachine LearningTensorFlowPyTorchPandasNumPySparkData AnalysisData EngineeringData ScienceNLPLLMs

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

  • As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process.
  • Our clients are our partners.
  • We make their goals our own, working side by side to turn challenges into solutions.

Requirements

  • 5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Minimum Qualifications
  • 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. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
  • 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. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
  • Pay Transparency 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
  • The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. 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.
  • All your information will be kept confidential according to EEO guidelines.

Skills

  • Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
  • Experience deploying and managing a variety of database technologies.
  • Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
  • Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
  • Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
  • Knowledge of conversational AI, agent-based systems, and chat interface development.
  • Proven track record in deploying and maintaining ML and AI solutions in a production setting.
  • Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
  • Experience with MLOps.
  • Experience with Databricks is a plus.
  • Duties & Responsibilities

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 $140,000.
  • 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.

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.
  • Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.
  • The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions.
  • This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists.
  • The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.
  • Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.

Equal opportunity

  • Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce.
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