Highmark Health Lead Big Data Engineer in Pittsburgh, Pennsylvania
This job designs and engineers solutions associated with analytic data for the organization and, working closely with the business, analytic and IT teams, assists with the build and upkeep for these solutions. This includes coding data ingestion, transformation, and delivery programs/locic for analysts to access operational, derived, and external data sets. Expected deliverables will include; coding of delivery frameworks to load and transform raw source data into enhanced analytic assets, being a key resource for analytical and big data efforts, working with architects, analysts and data scientists as needed. The incumbent is responsible for the operation and execution of projects related to Big Data or other analytic platforms. Leverages experience in analyzing and delivering large data sets by using a variety of delivery tools to perform tasks. Works in cross-functional teams from different organizations (both technical and non-technical) on projects. Provides guidance and education to Seniors and Intermediate level staff. Responsible for maintaining customer relationships. Technologies such as, but not limited to: Hadoop, Hive, NoSQL, Spark, Python, SAS, Teradata, Oracle, Informatica.
Work closely with IT, architect and engineer solutions that provide views for the Enterprise Data Hub or other analytic ecosystems. This would includes working with the appropriate teams, leading the design and building out the design, and providing upkeep for the solution. Create high performance Big Data (and traditional) systems to be used with analytic applications.
Code, test, process, and maintain data resources for the analytics organizations. This will include working to maintain data sourcing, transformation and delivery, for key analytic platforms throughout the organization.(ETL/ELT)
Work with alternative analytic data systems to incorporate them into the operational data flow for the Analytics Teams. Work with data science teams and strategic partners on capabilities of core platform. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by analytic teams.
Responsible for large functional efforts for programs across multiple projects with no need for guidance. This includes providing guidance and education to Senior and Intermediate 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
- Bachelor's Degree in Computer Systems Analysis, Computer Engineering, Data Processing, Healthcare Informatics or Management Information Systems
- Master's Degree in Management Information Systems, Healthcare Informatics or Computer Engineering
7 - 10 years in Data Analytics
5 - 7 years in IT Application - Hadoop
7 - 10 years in the Healthcare Industry
3 - 5 years in Data Warehousing
3 - 5 years in Database Administration
LICENSES AND CERTIFICATIONS
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
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.
Equal Opportunity Employer Minorities/Women/ProtectedVeterans/Disabled/Sexual Orientation/Gender Identity