Big Data Engineer

Job summary

COMPANY : Hig*** JOB DESCRIPTION : JOB SUMMARY ***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)*** 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.

Qualifications

• 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.
• 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
• Pay Range Minimum:
• 86,400.00
• Pay Range Maximum:
• 138,600.00
• Base pay is determined by a variety of factors including a candidate’s
• 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.

Responsibilities

• 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
• 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, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services.
• 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.
• Maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.
• Responsible for delivery of assigned projects, this may include providing guidance to Junior contributors within team.

Skills

Degrees

Languages

Travel

Industry

Company size

Contract length

Security clearance