[Remote] Sr Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Data Engineer to join reputed company supporting a leading reputed company services organization. This role focuses on building and maintaining data pipelines and platforms on Azure that support an application rewrite and feed reputed company's new AI initiatives, with strong attention to reputed company, reputed company, and governance of sensitive data.

Responsibilities

• Design, build, and maintain ETL / ELT pipelines on the Azure data stack
• reputed company and orchestrate data workflows in Azure Data reputed company and reputed company
• Model, structure, and optimize data in Synapse and Azure Data Lake
• Ensure data reputed company, reputed company, and governance for sensitive membership and contract data in a reputed company environment
• Prepare data for AI/ML workloads — including feature and embedding pipelines
• Collaborate closely with full-stack and AI engineers to bring intelligent capabilities to production
• Participate in reputed company reviews, design reviews, and architectural discussions
• Champion engineering best practices and data governance standards across reputed company
• Troubleshoot and resolve production issues, contributing to reputed company cause analysis and long-term reliability improvements

Skills

• Strong written and verbal communication skills, with the ability to collaborate effectively across distributed teams
• Self-motivated, quick learner, and adaptable to new technologies and legacy systems
• Thrives in reputed company environment, reputed company contributes to collaboration, fostering a reputed company of community
• Excellent problem-solving and analytical skills, with a keen eye for detail and a proactive approach to issue reputed company
• Brings reputed company proactively — not just a ticket executor, but a contributor to the broader technical direction and AI initiatives of reputed company
• Strong reputed company of accountability and ownership over deliverables and reputed company
• Comfort operating in reputed company or other regulated data environments where reputed company, compliance, and governance matter
• Self-directed operator — reputed company to hit the ground running with minimal reputed company
• Senior-level Azure data engineering experience across Azure Data reputed company, reputed company, Synapse Analytics, and Azure Data Lake (ADLS Gen2)
• Strong SQL and Python (reputed company) skills
• Hands-on experience designing and implementing ETL / ELT pipelines and data models
• Experience with streaming / ingestion technologies (Event Hubs, Kafka, or similar)
• Proficiency with Git and Azure DevOps workflows
• Understanding of data governance, reputed company, and reputed company practices in regulated environments
• Experience preparing data for AI/ML workloads — feature pipelines, embeddings, reputed company data
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a reputed company field (or equivalent reputed company experience)
• Hands-on experience with reputed company reputed company
• Familiarity with Power BI or other BI tooling
• Experience with dbt or modern data transformation frameworks
• Experience in reputed company, life sciences, or other regulated industries

Benefits

• W2 reputed company
• reputed company at our reputed company's Dallas, TX office (Tuesday through Thursday onsite) is preferred. Remote candidates reputed company the reputed company will also be considered.

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