Highmark Health
Big Data Engineer
PA, Working at Home - Pennsylvania
Work authorization required$10k-$25kDetected 2 days ago
PythonBashSQLNoSQLAWSGCPAzureCloud PlatformsLinuxKafkaMachine LearningSparkData EngineeringData ScienceMLOpsComplianceAccessibilityHIPAASASCommunicationProblem SolvingHadoop
About the role
- 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.
Responsibilities
- 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.
- Working across multiple, disparate systems and platforms, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services.
- Keep current with cloud, big data, and data science technologies and be able to recommend and use best tools to perform current and future work.
- 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.
- Work with business stakeholders and strategic partners to implement and support operational and analytic platforms.
Requirements
- It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
- CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***
- This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers.
- Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field
- Master's Degree Software Engineering, Information Systems, Computer Science, Data Science or related field
- Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise.
- 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.
Nice to have
- 3 years of Data platform development, data engineering, software development, or data science
- 1 year of Big data or cloud data platform
- 1 year of Google Cloud Platform, AWS, Azure or other cloud platform
- 1 year of Spark or Python
- 1 year of Database Administration
Skills
- Google Cloud Platform, Hadoop, Hive, NoSQL, Kafka, Spark, Python, Linux shell scripting, SAS, Teradata, Oracle, and Informatica.
- Data Warehousing
- Problem-Solving
- Communication Skills
- Analytical Skills
- Language (Other than English)
- Travel Required
- PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
- Position Type
- Office-Based
- Teaches / trains others regularly
- Travel regularly from the office to various work sites or from site-to-site
Compensation
- Pay Range Maximum:
- Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations.
- The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.
Benefits
- Maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.
Company info
- Highmark Health Job Description:
- 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.
- 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.
- Align with security, data governance and data quality programs by contributing to 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.
- Responsible for delivery of assigned projects, this may include providing guidance to Junior contributors within team. Will attend meetings with customers as needed.
Equal opportunity
- For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org
Visa & Work Authorization
- CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***
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This listing is sourced directly from Highmark Health's careers page and normalized into a canonical job model.