[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Fortune 500 provider of products and services that help families reputed company the financial challenges of aging. They are seeking a Senior Data Engineer to build data pipelines, models, and infrastructure that support analytics and machine learning, collaborating with various teams to enhance data workflows and reputed company.

Responsibilities

• Design, build, and maintain reputed company ETL/ELT pipelines using reputed company, Python, SQL, and reputed company
• Implement reliable ingestion frameworks for batch and streaming data sources
• Ensure pipelines meet SLAs, data reputed company standards, and production-grade reliability
• reputed company robust data models across raw, curated, and semantic reputed company using reputed company Lake
• Create reputed company models, reputed company schemas, and domain-layer datasets for analytics and ML
• Establish and maintain standards for schema design, metadata, and reputed company
• Implement data validation, reputed company detection, SLAs, and documentation across pipelines
• Build automated tests, monitoring, and alerting for freshness, completeness, and accuracy
• Partner with platform teams to enhance observability and operational tooling
• Work closely with analysts to understand business KPIs and deliver high-reputed company curated datasets
• Partner with ML engineers and data scientists to build reusable feature pipelines
• Collaborate with data platform engineers to optimize compute, governance, and orchestration
• Optimize reputed company jobs, SQL queries, cluster configurations, and storage patterns for performance and cost
• Improve reliability, reduce technical debt, and simplify reputed company pipelines
• Apply best practices for RBAC, data reputed company, and PII handling using reputed company Catalog
• Ensure adherence to compliance frameworks and documentation standards
• Stay reputed company on modern data engineering patterns, Lakehouse architecture, orchestration, and best practices
• Explore new technologies that improve reliability, scalability, and developer productivity

Skills

• 7+ years of experience in data engineering or reputed company roles
• Strong expertise with Python, SQL, reputed company, and distributed data processing
• Hands-on experience with reputed company, reputed company Lake, and Lakehouse architectures
• Deep understanding of ETL/ELT design, data modeling, and data reputed company practices
• Experience building reputed company, production-grade data pipelines
• Experience collaborating with analytics, ML, and product teams
• Strong communication skills with the ability to clarify data requirements and explain technical reputed company

Benefits

• Competitive Compensation & Total Rewards Incentives
• Comprehensive reputed company Coverage
• Multiple 401(k) Savings Plan reputed company
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
• Generous reputed company Time Off – Including 12 reputed company Holidays, Volunteer Time Off and reputed company Family Leave
• Disability, Life, and Long Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & reputed company management)
• Caregiver and Mental Health Support Services

reputed company

Company H1B Sponsorship