Senior Data Engineer

Employment Type: Full-Time
Location: Fully Remote (United States)

About the Role

Our client is seeking a Senior Data Engineer to help build and scale a modern cloud-based data platform from the ground up. This is a high-impact opportunity to join a growing data team with strong executive sponsorship and play a key role in replacing legacy reporting systems with a modern analytics ecosystem.

As a senior individual contributor, you ll help define the architecture, develop scalable data pipelines, and build reliable data models that power business intelligence, analytics, and future AI initiatives. You ll partner closely with engineering, product, and business stakeholders while mentoring junior team members and helping establish best practices across the organization.

Key Responsibilities

Modern Data Platform Development

• Design and build scalable data models using dbt and Snowflake.
• Develop and maintain ELT pipelines using Fivetran and other modern ingestion tools.
• Partner with technical leadership on architecture, platform design, and engineering standards.
• Implement data quality testing, monitoring, documentation, and CI/CD practices.
• Optimize platform performance, scalability, and cost efficiency.

Data Engineering & Analytics

• Build trusted datasets that support business intelligence, reporting, and analytics initiatives.
• Integrate data from multiple operational systems and external data sources.
• Collaborate with software engineering teams on deployment, infrastructure, and platform integrations.
• Support future automation and AI-driven data initiatives.

Collaboration & Technical Leadership

• Work directly with business stakeholders to translate requirements into scalable data solutions.
• Mentor junior engineers through code reviews, technical guidance, and best practices.
• Partner with product and engineering teams to prioritize and deliver high-value data products.

Required Qualifications

• 6+ years of hands-on experience in Data Engineering or Data Platform development.
• At least 4 years working with modern cloud data platforms such as Snowflake, dbt, or comparable technologies.
• Strong experience designing and building production-ready data models and ELT pipelines.
• Deep knowledge of Snowflake, including architecture, performance optimization, and cost management.
• Experience with dbt, including modeling, testing, documentation, and CI/CD.
• Strong SQL expertise and Python programming skills.
• Experience with Git, version control, and CI/CD workflows.
• Experience integrating data from relational and NoSQL databases, including MongoDB.
• Experience mentoring engineers or technical team members.
• Bachelor s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Preferred Qualifications

• Experience serving as a senior individual contributor or technical lead on a data engineering team.
• Experience in healthcare, life sciences, clinical research, or other regulated industries.
• Familiarity with AI-assisted development tools and engineering workflows.
• Experience with Tableau Cloud or other modern BI platforms.
• Strong understanding of data governance, lineage, and documentation best practices.
• Experience building externally facing analytics or data products.

Why Join

• Build a modern cloud data platform from the ground up using today s leading technologies.
• Work with a collaborative, highly technical engineering team.
• High visibility and influence on platform architecture and long-term data strategy.
• Opportunity to contribute to future AI and advanced analytics initiatives.
• Fully remote position with competitive compensation and comprehensive benefits.
• Salary: $170,000-175,000
• Visa sponsorship is not available for this role.

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