JOB SUMMARY
This job is responsible for 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.
ESSENTIAL RESPONSIBILITIES
In partnership with other business, platform, technology, and analytic teams across the enterprise, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms.Code, test, and implement data solutions to support enterprise data platforms.Align with security, data governance and data quality programs by contributing to metadata management, data quality management, and the application of business rules. 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.Keep current with industry developments in the data and analytics space, particularly as it relates to cloud, big data, and data science capabilities.Other duties as assigned or requested.EDUCATION
Required
Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related fieldSubstitutions
NonePreferred
Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related fieldEXPERIENCE
Required
1 year in Data platform development, data engineering, software development, or data science
Substitutions
Associates Degree plus 3 additional years of applicable experience OR equivalent data engineering cloud certification plus 6 additional years of applicable experiencePreferred
1 year in Big data or cloud data platform
LICENSES AND CERTIFICATIONS
Required
NonePreferred
NoneSKILLS
SQLData WarehousingProblem-SolvingCommunication SkillsAnalytical SkillsSpark or Python or related toolLanguage (Other than English)
None
Travel Required
0% - 25%
PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
Position Type
Office-Based
Teaches / trains others regularly
Occasionally
Travel regularly from the office to various work sites or from site-to-site
Rarely
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
Yes
Lifting: up to 10 pounds
Constantly
Lifting: 10 to 25 pounds
Rarely
Lifting: 25 to 50 pounds
Rarely
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.
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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.
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