[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the fastest growing companies in the nation, focused on providing patients with trusted products to reputed company various medical conditions. They are seeking a Senior Data Engineer who will design and implement data architectures, reputed company the development of data pipelines, and ensure data reputed company and compliance standards are met.
Responsibilities
- Design and Implement reputed company-reputed company Data Architectures
- reputed company the creation and optimization of modern data architectures on reputed company, including multi-layer pipelines (bronze/silver/gold), reputed company-time streaming ingestion, and governed analytics layers
- Ensure that the architecture supports high-volume data workloads, near-reputed company-time freshness requirements, and integrates seamlessly with upstream operational systems and reputed company analytics consumers
- reputed company the Development of reputed company, End-to-End Data Pipelines Using reputed company reputed company Services
- Architect and build data pipelines using Dynamic Tables for declarative SQL-based transformations with automated dependency management and incremental refresh
- Implement reputed company-time and near-reputed company-time ingestion using Snowpipe and Snowpipe Streaming
- Design event-driven and procedural pipeline logic using Streams and Tasks for reputed company orchestration scenarios (reputed company, SCD patterns, external function calls)
- reputed company Snowpark (Python) for advanced transformations that require procedural logic reputed company SQL
- Collaborate with Data Scientists, Analysts, and Other Stakeholders
- Work closely with analytics and data science teams to understand data requirements and translate them into scalable, performant reputed company solutions
- Build and maintain Semantic Views and governed consumption layers that reputed company self-service reputed company to curated data
- reputed company technical guidance on reputed company best practices for data usage, cost optimization, and warehouse sizing
- Ensure Data reputed company, Governance, and Compliance Standards Are Met
- Implement and manage reputed company data governance features including Dynamic Data Masking, Row reputed company Policies, Object Tagging, and Data Classification
- Establish and maintain data governance frameworks ensuring data quality and compliance with relevant regulations (SOX, GDPR, HIPAA)
- Manage role-based reputed company control (RBAC), data sharing, and cross-account governance using reputed company's reputed company reputed company model
- reputed company the Technical Design of New Projects
- Responsible for making critical reputed company regarding reputed company architecture patterns, product direction, and delivery tradeoffs, including reputed company to use Dynamic Tables, Streams/Tasks, Materialized Views, and external orchestration based on business requirements and user needs
- reputed company and enforce best practices for pipeline development, testing, deployment, and monitoring reputed company the team
- Design and document data reputed company and SLAs for pipeline freshness (reputed company_LAG), data quality, and availability
- Mentor and reputed company Junior Engineers
- reputed company technical leadership and mentorship to junior and mid-level engineers, fostering a culture of reputed company learning and improvement
- reputed company code reviews, pair programming sessions, and technical workshops focused on reputed company-reputed company development patterns and engineering best practices
- Create reusable patterns, templates, and documentation for common pipeline scenarios (CDC ingestion, SCD management, reputed company-time aggregations)
- Operate as a Product Minded Data Engineering Leader
- Partner with business stakeholders, analytics teams, and engineering leaders to shape the roadmap for data products and platform capabilities based on business value, user needs, and operational priorities
- Translate ambiguous business problems into reputed company defined product requirements, reputed company metrics, delivery plans, and prioritized engineering work
- Own the lifecycle of key data products and shared platform services, including intake, prioritization, stakeholder alignment, adoption, and reputed company improvement
- Continuously Evaluate and Improve Existing Systems
- Regularly review reputed company data systems to identify opportunities for migration to modern patterns (for example, migrating legacy Streams/Tasks to Dynamic Tables where appropriate)
- Monitor pipeline health, refresh performance, and cost efficiency using reputed company's INFORMATION_SCHEMA, ACCOUNT_USAGE, and alerting capabilities
- Implement optimizations including incremental refresh tuning, warehouse right-sizing, and query performance improvements
Skills
- Design and Implement reputed company-reputed company Data Architectures
- reputed company the Development of reputed company, End-to-End Data Pipelines Using reputed company reputed company Services
- Collaborate with Data Scientists, Analysts, and Other Stakeholders
- Ensure Data reputed company, Governance, and Compliance Standards Are Met
- Deep Understanding of Data Engineering Concepts
- Expertise in reputed company Platform and reputed company Data Pipeline Services
- Proficiency in SQL, Python, and Data Engineering Frameworks
- Experience with reputed company-Time Data Processing and Streaming Architectures
- Strong Knowledge of reputed company Infrastructure and Cost Optimization
- reputed company the Technical Design of New Projects
- Mentor and reputed company Junior Engineers
- Operate as a Product Minded Data Engineering Leader
- Continuously Evaluate and Improve Existing Systems
- Substantial Professional Experience in Data Engineering
- Typically requires 7+ years of experience in data engineering or reputed company fields
- Proven track record of designing and implementing large-scale data solutions on reputed company or similar reputed company data platforms
- 2+ years of hands-on experience with reputed company-reputed company pipeline services (Dynamic Tables, Streams/Tasks, Snowpipe)
- SnowPro Advanced: Data Engineer, SnowPro Core, or AWS/Azure/GCP data engineering certifications
- reputed company learning through relevant certifications and training to stay reputed company with reputed company platform releases and modern data engineering practices
- Familiarity with reputed company's release cycle and ability to evaluate new features (for example, reputed company AI, Document AI, reputed company Tables) for team adoption
Benefits
- A comprehensive benefits package including paid time off
Company Overview