Senior Data Platform Engineer-Analytics Pipelines (Remote)

Teladoc Health, Inc.; United States; Remote; USD 99,000 - 114,000; Full time

Job summary

Teladoc Health, Inc. is seeking a Data Analyst III to join the Data Platform Engineering Support team.

You will own production data pipelines, dashboards, and reporting assets, collaborating with cross-functional partners to deliver timely, accurate insights using Azure, Databricks, Snowflake, and dbt. You will develop analytics solutions, ensure data quality, and mentor junior team members while effectively communicating findings to both technical and non-technical audiences in a fast-paced,

Qualifications

• 5+ years of professional experience in data analytics, analytics engineering, data engineering, BI, or related fields.
• Advanced SQL and Python for analytics, automation and data transformation; R is a plus.
• Experience developing dashboards/visualizations with Power BI and/or Tableau.
• Proven ability to write maintainable, scalable, well-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 including production-grade pipelines.
• Experience with GitHub, version control workflows, code reviews, and Jira.
• Strong cross-functional collaboration skills and ability to translate business requirements into data solutions.
• Excellent communication and storytelling skills; able to present findings to diverse audiences.
• HIPAA/PHI data considerations and governance familiarity.

Responsibilities

• Own production data pipelines, analytical datasets, dashboards, and reporting assets.
• Collaborate with stakeholders to translate questions into data requirements and solutions.
• Design, build, and optimize ETL/ELT processes and data models.
• Onboard and integrate new data sources (claims, eligibility, EHR, etc.).
• Define data quality standards, monitoring, and alerting for data reliability.
• Lead root-cause analysis of data issues and incidents.
• Evaluate data model changes and assess downstream impacts.
• Create and maintain dashboards, data dictionaries, and documentation.
• Mentor analysts and contribute to engineering/analytics best practices.
• Explore emerging technologies to improve analytics workflows.

Skills

Advanced SQL

Python for analytics

R language

Power BI

Tableau

Azure

AWS

Databricks

Snowflake

dbt

ETL/ELT

GitHub

Jira

Data storytelling

Education

Bachelor's degree in a quantitative/technical field

Tools

Azure Synapse Analytics

Databricks

Snowflake

dbt

Power BI

Tableau

GitHub

Jira

Azure Data Factory

Azure Data Lake Storage Gen2

Job description

Teladoc Health, Inc. is seeking a Data Analyst III to join the Data Platform Engineering Support team.

You will own production data pipelines, dashboards, and reporting assets, collaborating with cross-functional partners to deliver timely, accurate insights using Azure, Databricks, Snowflake, and dbt. You will develop analytics solutions, ensure data quality, and mentor junior team members while effectively communicating findings to both technical and non-technical audiences in a fast-paced,