Employer Industry: Technology and Data Solutions

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Work remotely from anywhere in the U.S.
- Engage in cutting-edge projects involving secure and scalable data pipelines
- Collaborate with a skilled software development team in an Agile/Scrum environment
- Commitment to data quality, auditability, and responsible data use

What to Expect (Job Responsibilities):
- Design and deliver secure, scalable, and traceable data pipelines in Azure
- Build ingestion workflows and transformation logic to support reporting and analytics
- Integrate and transform sensitive, public-facing datasets
- Ensure high standards of data quality and auditability in all processes
- Collaborate with the software development team in an Agile/Scrum setting

What is Required (Qualifications):
- Minimum of 3 years of experience building and maintaining ETL/ELT pipelines in enterprise environments using Azure-native tools
- Hands-on expertise with Azure Data Factory, Dataflows, Synapse Pipelines, or similar orchestration tools
- Proficiency in SQL, Python, or PySpark for transformation logic and data cleansing workflows
- Experience with Delta Lake, Azure Data Lake Storage Gen2, JSON, and Parquet formats
- Knowledge of data masking, PII handling, and encryption techniques to manage sensitive data responsibly

How to Stand Out (Preferred Qualifications):
- Experience supporting data publishing for oversight, regulatory, or open data initiatives
- Certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect

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