[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 dedicated to helping families address the financial challenges of aging. They are seeking a highly skilled Senior Data Engineer to join their data and machine learning organization, focusing on building reliable and reputed company data pipelines and models to support analytics and operational needs.
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 & legal management)
- Caregiver and Mental Health Support Services
reputed company