Company :Highmark Health
Job Description :
***Entirely Remote Work From Anywhere Role!***
At Highmark Health, data, analytics, and technology are at the heart of our strategy. Leveraging our unique position as a payor and a provider, the Enterprise Data and Analytics team implements advanced solutions that generate differentiated insights that pave the way for everyone to embrace health. We lead cutting-edge cloud technology solutions, are funded to pursue bold ideas, and we have access to innovative partners, including world-class institutions such as Carnegie Mellon and Johns Hopkins Universities. Enterprise Data and Analytics team members are enabled to thrive in a flexible Work From Anywhere environment that fosters career growth, work-life balance, and professional development.
This job is responsible for designing and engineering data solutions for the enterprise and, working closely with business, analytic and IT stakeholders, assists with the development and maintenance of these solutions. This includes coding data ingestion pipelines, transformations and delivery programs/logic for people and systems to access data for operational and/or analytic needs. Duties include but are not limited to the coding, testing, and implementation of ingestion and extraction pipelines, transformation and cleansing processes, and processes that load and curate data in conformed, fit-for-purpose data structures. The incumbent is expected to partner with others throughout the organization (including other engineers, architects, analysts, data scientists, and non-technical audiences) in their daily work. The incumbent will work with cross-functional teams to deliver and maintain data products and capabilities that support and enable strategies at business unit and enterprise levels. The incumbent is expected to utilize technologies such as, but not limited to: Google Cloud Platform, Hadoop, Hive, NoSQL, Kafka, Spark, Python, Linux shell scripting, SAS, Teradata, Oracle, and Informatica.
- In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Create high performance cloud and big data systems to be used with operational and analytic applications.
- Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise. Work with business stakeholders and strategic partners to implement and support operational and analytic platforms. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers.
- Working across multiple, disparate systems and platforms, design, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services.
- Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules. Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprise’s overall information management activities. Includes data cleansing, standardization, technical metadata documentation, and the de-identification and/or tokenization of data.
- Develop, optimize and/or maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments. These may be based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments.
- Develop tasks across multiple projects with limited need for guidance. This includes providing guidance and education to Intermediate and Junior contributors within team. Manage relationships with customers of the function. Attend meetings with customers on a stand-alone basis or with team as needed.
- Establish standards and patters for high performance data ingestion, transformation, and delivery of data analytic needs. Keep current with Big Data technologies in order to recommend best tools in order to perform current and future work
- Other duties as assigned or requested.
- Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field
- Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field
5 years in Data platform development, data engineering, software development, or data science
3 years in Big data or cloud data platform
3 years in Healthcare Industry
3 years of Data Warehousing
3 years of Database Administration
LICENSES AND CERTIFICATIONS
Cloud certification (GCP, Azure, AWS)
- Data Warehousing
- Communication Skills
- Analytical Skills
- Spark or Python or related tool
- Cloud Technologies
Referral Bonus: Level 4
Language (Other than English):
0% - 25%
PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
Teaches / trains others regularly
Travel regularly from the office to various work sites or from site-to-site
Does Not Apply
Works primarily out-of-the office selling products/services (sales employees)
Physical work site required
Lifting: up to 10 pounds
Lifting: 10 to 25 pounds
Lifting: 25 to 50 pounds
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.
Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability.
EEO is The Law
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf )
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