Senior Data Engineer
New
H
Health-E CommerceData & Analytics
100% remote within the United States, Must be able to work EST hoursFull-TimeSenior
Salary$130,000 - 165,000
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLETLJavaSparkData modelingAzure DevOps
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Minimum of 5+ years experience in data engineering roles.
- Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.
- Expertise in Python scripting and programming languages such as SQL and Java.
- Senior level knowledge of data modeling, processes, and data warehouse concepts.
- Experience building ETL pipelines.
- Familiarity with Azure Data Factory and Azure Data Lake Storage.
- Ability to effectively communicate technical concepts to non-technical stakeholders.
Responsibilities
- Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage.
- Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions.
- Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data.
- Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
- Design and implement complex data models on Azure Synapse Analytics.
- Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.
- Manage and optimize Apache Spark pools for high-performance data processing tasks.
- Develop and maintain ETL processes and data pipelines using Python scripting.
- Ensure data quality and integrity across all platforms and systems.
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