Cloud Data Engineer — Big Data Pipelines & Analytics

Highmark Health; United States; On-site; USD 86,000 - 139,000; Full time

Job summary

Highmark Health in the United States is seeking a data solutions engineer to design and implement enterprise data solutions, working with business, analytic and IT stakeholders.

The role involves coding ingestion pipelines, transformations, and delivery programs, enabling data access for operational and analytic needs using platforms such as Google Cloud Platform, Hadoop, Hive, NoSQL, Kafka, Spark, Python, Linux shell scripting, SAS, Teradata, Oracle, and Informatica.

Qualifications

• Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field
• 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 Data science, AI & machine learning engineering
• 1 year Healthcare Industry
• 1 year of Database Administration

Responsibilities

• Design, build and maintain data solutions across data warehouses, big data, and cloud platforms.
• Collaborate with stakeholders to implement data sourcing, flow, and data models.
• Develop scalable data ingestion, transformation, and delivery pipelines.
• Support data governance, data quality, and metadata management.
• Maintain MLOps processes for cloud or big data environments.
• Lead project delivery and guide junior contributors.
• Stay current with cloud, big data and data science technologies.

Skills

SQL

Data Warehousing

Problem-Solving

Communication Skills

Analytical Skills

Education

Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field

Job description

Highmark Health in the United States is seeking a data solutions engineer to design and implement enterprise data solutions, working with business, analytic and IT stakeholders.

The role involves coding ingestion pipelines, transformations, and delivery programs, enabling data access for operational and analytic needs using platforms such as Google Cloud Platform, Hadoop, Hive, NoSQL, Kafka, Spark, Python, Linux shell scripting, SAS, Teradata, Oracle, and Informatica.