Senior Data Platform & Analytics Engineer

Teladoc; United States; On-site; USD 99,000 - 114,000; Full time

Benefits offered by this job

Performance bonus

Flexible vacation

Paid sick leave

Benefits program

Job summary

Teladoc Health is seeking an experienced Data Platform Engineer to join the Data & AI team. You will own production data pipelines, dashboards, and analytics assets, collaborating with cross-functional teams to deliver trusted data and insights.

A strong background in SQL, Python, cloud data environments, and BI tools is essential to support growth and patient-centric outcomes. You will work with Azure Synapse Analytics, Databricks, Snowflake, and dbt to ensure data quality, timely reporting,

Qualifications

• Bachelor's degree in a quantitative, technical, or related field.
• 5+ years of professional experience in data analytics, analytics engineering, data engineering, BI, or related fields.
• Advanced SQL and strong Python for analytics, automation, and data transformation; R is a plus.
• Experience creating dashboards/visualizations with Power BI and/or Tableau.
• Proven ability to write maintainable, scalable, documented code and follow engineering/analytics best practices.
• Hands-on experience with cloud data environments (Azure and/or AWS).
• Experience with Databricks, Snowflake, and dbt for production-grade pipelines.
• Experience with GitHub/version control, Jira, and data storytelling with stakeholders.
• Demonstrated success partnering with cross-functional teams to deliver insights and outcomes.
• Strong problem-solving and independent work in fast-paced environments.
• Excellent communication and storytelling skills for technical and non-technical audiences.

Responsibilities

• Serve as primary owner for production data pipelines, datasets, dashboards, and reporting assets.
• Collaborate with stakeholders to translate questions into data requirements and prioritized solutions.
• Design, build, and optimize ETL/ELT processes and datasets using Azure Synapse, Databricks, Snowflake, and dbt.
• Support onboarding/integration of client, payer, and internal data sources (claims, EHR, etc.).
• Define data quality standards, validation frameworks, monitoring, logging, and alerts.
• Lead root-cause analysis of data issues and production incidents.
• Evaluate data models and downstream impacts to minimize risk.
• Analyze trends and develop insights to support growth, retention, performance, marketing, and products.
• Create dashboards, data dictionaries, and documentation to promote data literacy.
• Partner with analysts, data scientists, engineers, and PMs to maintain analytical rigor.
• Mentor junior team members and contribute to coding/documentation best practices.
• Evaluate emerging tech, including AI-enabled tools, to improve workflows and productivity.
• Ensure HIPAA compliance and PHI/PII data governance.

Skills

SQL

Python

Azure Synapse

Databricks

Snowflake

dbt

Power BI

Tableau

Azure/AWS cloud

Education

Bachelor's degree

Tools

Azure Synapse Analytics

Databricks

Snowflake

dbt

Job description

Teladoc Health is seeking an experienced Data Platform Engineer to join the Data & AI team. You will own production data pipelines, dashboards, and analytics assets, collaborating with cross-functional teams to deliver trusted data and insights.

A strong background in SQL, Python, cloud data environments, and BI tools is essential to support growth and patient-centric outcomes. You will work with Azure Synapse Analytics, Databricks, Snowflake, and dbt to ensure data quality, timely reporting,