Analytics Principal Data Engineer

CDPHP and its family of companies are mission-driven organizations that support the health and well-being of our customers and the communities we are proud to serve. CDPHP was founded in Albany in 1984 as a physician-guided not-for-profit, and currently offers health plans in 29 counties in New York state. The company values integrity, diversity, and innovation, and its corporate culture supports those values wholeheartedly. At CDPHP, the employees have a voice and are encouraged to make an impact at both the company and community levels through engagement and volunteer opportunities. CDPHP invests in employees who share these values and invites you to be a part of that experience.

The Principal Analytics Data Engineer is a key technical leadership role, partnering on both overall strategic and technical direction for the team. They will participate as a senior technical contributor and a recognized expert in applying data engineering methods to support descriptive, predictive, and prescriptive models. The Principal will provide innovative, pragmatic solutions using data pipelines and data provisioning to drive actionable insight to business problems. Additionally, they will partner with managers to lead, guide, mentor, and help develop the technical skills of the team. In order to provide both technical and strategic direction, the Principal will monitor industry trends and advocate for the adoption of appropriate technologies when aligned with the broader CDPHP initiatives. The Analytics Principal Data Engineer will work closely with the rest of the Analytics team, IT, and internal business partners to identify, evaluate, design, and implement data and analytic solutions to address short term and long-term stakeholder goals. They will translate the technical needs of the data engineering and IT teams to upper management to ensure the team and ecosystem with which it works evolves appropriately with the rapidly changing data science technology space. The candidate will be expected to lead by example and use sound scientific methodology, practice, and judgement when working through a data provisioning and integration problem.

QUALIFICATIONS:

• Bachelor's degree required. Master's or PhD in one of the Physical Sciences, Computer Science, Data Science, Economics, Statistics, or a similar computational/quantitative field preferred, STEM majors preferred.
• Minimum ten (10) years of applied data engineering experience with strong preference in the healthcare industry required.
• Minimum five (5) years of experience required in technical/strategic leadership required.
• Demonstrated expertise with SQL, Pyspark, and traditional and modern ETL principles required.
• Experience with Unix/Linux OS and can write simple to moderate shell scripts using Bash required.
• Expertise in two or more of the following languages: Python, Scala, Java required.
• Experience working with Tableau, Qlik, Spotfire, Shiny or similar reporting/data visualization tool required.
• Experience leveraging distributed analytics frameworks like Apache Spark required.
• Experience working with Amazon's AWS big data services like EMR, Redshift, and Redshift Spectrum required.
• Experience working with source code versioning tool, preferably git required.
• Experience deploying data science workflows to production required.
• Familiarity with agile development required.
• Experience with SAS preferred.
• Experience with healthcare data/claims is preferred.
• Strong skills in MS Access, Word, Excel, Outlook, and PowerPoint required.
• Demonstrated expertise ingesting, synthesizing, and transforming data sets of different sizes and complexities that are both structured and unstructured.
• Expert in assimilating data from disparate sources that will augment existing data from and serve and new raw and feature based source data sets.
• Demonstrated expertise in the application of sound data modeling principles.
• Awareness of and practical exposure to machine learning and statistical methods both supervised and unsupervised methods, text mining, feature engineering, feature selection, model validation, and messaging.
• Demonstrated ability to understand and analyze complex business problems and apply cost effective solutions.
• Demonstrated ability to provide perspective and make program recommendations based on data, modeling, and messaging requirements.
• Demonstrated ability to manage multiple projects.
• Demonstrated ability to lead, coach, train, or mentor staff.
• Demonstrated technical leadership and recognition through publications, patents, or other means.
• Excellent written and verbal communication skills
• Demonstrated ability to work with and maintain confidential information.
• Flexibility to adapt to a changing and fast-paced environment.

Annual salary range: $130,000 - $145,000

CDPHP salary ranges are designed to be competitive with room for professional and financial growth. Individual compensation is based on several factors unique to each candidate, such as work experience, qualifications, and skills. In addition to cash compensation, CDPHP employees may be eligible for an incentive payment, a discretionary cash reward based on employee and company performance. Some roles may also be eligible for overtime pay.

CDPHP compensation packages go far beyond just salary. The company offers a comprehensive total rewards package that includes award-winning health care coverage, health care dollars, a generous paid time off allowance, employee assistance programs, flexible work environment, and much more. Learn about all CDPHP employee benefits here.

As an Equal Opportunity / Affirmative Action Employer, CDPHP will not discriminate in its employment practices on the basis of race, color, creed, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, transgender status, age, national origin, marital status, citizenship, disability, criminal record, genetic information, predisposition or carrier status, status with respect to receiving public assistance, domestic violence victim status, protected veterans status, or any other characteristics protected under applicable law. To that end, all qualified applicants will receive consideration for employment without regard to any such protected status.

CDPHP and its family of companies include subsidiaries Acuitas Health LLC, Strategic Solutions Management Consultants (SSMC), Practice Support Services (PSS), and ConnectRX Services, LLC.