Senior Data Engineer (Snowflake & dbt)

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Senior Data Engineer will serve as a foundational contributor to our data platform modernization initiative, accelerating the organization's transition to a cloud-native, AI-augmented engineering model. This role is responsible for designing, building, and operationalizing production-grade data pipelines on Snowflake using dbt, with a strong emphasis on engineering rigor, SDLC discipline, and AI-assisted development practices anchored in GitHub.

The ideal candidate brings deep expertise in modern ELT architecture and treats software engineering best practices - version control, automated testing, CI/CD, peer review, and documentation - as non-negotiable standards. Equally important is the ability to leverage AI-powered developer tooling (GitHub Copilot, Copilot Chat, and emerging agentic workflows) to accelerate delivery, reduce technical debt, and elevate team capability.

As a senior practitioner, you will partner with Marketing, Data Science, and Platform Engineering teams to deliver data solutions that enable advanced segmentation, personalization, and predictive analytics at scale - while actively contributing to the codification of SDLC practices, coding standards, and data governance across the department.

Essential Duties and Responsibilities

Data Engineering & Architecture

• Build and maintain scalable ELT pipelines using dbt Core/Cloud on Snowflake.

• Develop performant data models with optimized materializations and incremental processing.

• Lead migration from legacy Redshift pipelines to Snowflake/dbt, ensuring functional parity, improved performance, and full test coverage.

• Implement data quality tests, observability frameworks, and CDC/streaming ingestion patterns.

SDLC & Engineering Standards

• Enforce GitHubbased development practices (branching, PR review, CI/CD, versioning).

• Maintain repo structure, documentation, and automated workflows.

• Build CI/CD pipelines using GitHub Actions for dbt build/test/deploy.

• Support IaC practices for Snowflake resource provisioning.

AIAssisted Development

• Use GitHub Copilot/Copilot Chat to accelerate coding, testing, documentation, and review.

• Analyze and modernize legacy SQL with AI tooling.

• Experiment with emerging agentic development tools (Copilot Workspace, Claude Code).

• Create and share prompt libraries and AI workflow patterns that improve team velocity and consistency in pipeline development, testing, and documentation tasks.

Data Governance & Operational Excellence

• Maintain thorough documentation of all pipelines, data models, and business logic in dbt docs, Confluence, or equivalent tools - ensuring knowledge is accessible and transferable.

• Monitor pipeline performance and resolve SLA issues using observability tools (Metaplane, dbt Cloud, Snowflake Query History).

• Participate in architecture processes and cross-functional design reviews for data platform decisions.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Supervisory Responsibilities

No

Qualifications Expected for Position

• 8+ years of experience in data engineering, analytics engineering, or SQL-intensive data development roles.

• 3+ years of hands-on, production experience with dbt (Core or Cloud) and Snowflake as primary platforms.

• Deep GitHub expertise (branching, pull request-based development, Actions for CI/CD).

• Strong SQL expertise including query optimization, window functions, recursive CTEs, and performance tuning on large-scale cloud data warehouses.

• Experience with ELT orchestration (Airflow/Astronomer, dbt Cloud, or equivalent).

• Familiarity with CDC patterns, event streaming architectures (Kafka, Kinesis, or equivalent), and real-time data ingestion use cases.

• Proven track record migrating legacy ETL/SQL logic (Redshift, Oracle, Teradata) into modern ELT architectures with full test coverage and documentation.

• Excellent communication skills with the ability to convey technical concepts clearly to non-technical stakeholders.

Bonus Qualifications

• Experience using GitHub Copilot, Copilot Chat, and/or other agentic coding tools (e.g., Claude Code, Cursor, Copilot Workspace) to accelerate development, including creating internal prompt libraries and AI workflow patterns, is highly preferred.

• Experience with Salesforce Data360 (Data Cloud) or Salesforce Marketing Cloud for audience segmentation and activation is a plus.

• Familiarity with data quality and observability platforms such as Metaplane, Monte Carlo, or Great Expectations.

• Knowledge of HIPAA compliance requirements and healthcare data standards (HL7, FHIR) in data engineering contexts.

• Snowflake SnowPro Core or Advanced certification, or dbt Certified Developer credential.

The base salary range for this position is$150,000 - $170,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.