TELYRX LLC
At TelyRx, we’re revolutionizing access to essential medications by combining cutting-edge
technology with a patient-centered approach. Inspired by our mission of "A Faster Way to
Wellness," we strive to simplify healthcare and provide seamless, hassle-free access to the
As a Data Engineer, you will be responsible for designing, building, and maintaining the data
infrastructure that powers our analytics and business intelligence capabilities. You’ll work closely
with our analytics team to ensure reliable, scalable, and efficient data pipelines that support
marketing attribution, customer analytics, and operational reporting across the organization.
This role offers the opportunity to own critical data infrastructure, work with modern cloud-based
tools, and directly impact how we leverage data to improve patient outcomes and business
performance.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple sources including advertising platforms (Google Ads, Facebook Ads, Bing Ads), CRM systems, and operational databases
Manage and optimize our Snowflake data warehouse, including schema design, query performance tuning, and cost optimization
Configure and maintain Fivetran connectors and data integrations, ensuring data quality and timely syncs across all platforms
Develop and maintain data transformation layers using SQL and dbt to create clean, reliable datasets for analytics consumption
Build and manage automated workflows and Snowflake tasks for scheduled data refreshes and reporting
Partner with the analytics team to understand data requirements and translate them into robust technical solutions
Implement data quality monitoring, alerting, and validation frameworks to ensure accuracy and completeness
Document data models, pipelines, and processes to maintain institutional knowledge
Support HIPAA-compliant data handling practices and maintain appropriate access controls
Troubleshoot data issues and perform root cause analysis when discrepancies arise
Basic Qualifications
B.S. in Computer Science, Data Engineering, Information Systems, or related technical field
5+ years of experience in data engineering, analytics engineering, or related roles
Expert-level SQL skills with experience writing complex queries and optimizing performance
Hands-on experience with cloud data warehouses, preferably Snowflake
Experience with ETL/ELT tools and data integration platforms (Fivetran, Stitch, Airbyte, or similar)
Proficiency in Python for data processing and automation
Experience with data transformation tools such as dbt
Strong understanding of data modeling concepts (dimensional modeling, star schemas)
Familiarity with version control (Git) and CI/CD practices for data pipelines
Experience working with marketing and advertising data (Google Ads, Facebook Ads APIs) is a plus
Strong problem-solving skills and attention to detail
Excellent communication skills and ability to collaborate with non-technical stakeholders
Preferred Qualifications
Experience in healthcare, digital health, or e-commerce industries
Familiarity with HIPAA compliance requirements for data handling
Experience with workflow orchestration tools (Airflow, Dagster, Prefect)
Knowledge of BI tools such as Sigma Computing, Tableau, or Looker
Experience with GA4 data exports and BigQuery
Understanding of marketing attribution models and customer analytics data requirements
Snowflake certifications or equivalent cloud data platform experience
Benefits
Health Coverage: Comprehensive health, dental, and vision insurance
Retirement: 401(k) plan
Time Off: Generous paid time off policy
Career Growth: Opportunities to grow within a rapidly expanding company
Mission-Driven Work: Be part of an organization focused on healthcare accessibility and innovation
If you’re eager for the freedom to take ownership of our analytics strategy, develop innovative
optimization solutions, and thrive while being given the room to build and lead a world-class
analytics organization, this is the perfect opportunity for you. We’re looking for someone driven
to make an impact through data, take initiative in establishing best practices, and grow
alongside our company as we tackle new analytical challenges together.
#J-18808-Ljbffr
technology with a patient-centered approach. Inspired by our mission of "A Faster Way to
Wellness," we strive to simplify healthcare and provide seamless, hassle-free access to the
As a Data Engineer, you will be responsible for designing, building, and maintaining the data
infrastructure that powers our analytics and business intelligence capabilities. You’ll work closely
with our analytics team to ensure reliable, scalable, and efficient data pipelines that support
marketing attribution, customer analytics, and operational reporting across the organization.
This role offers the opportunity to own critical data infrastructure, work with modern cloud-based
tools, and directly impact how we leverage data to improve patient outcomes and business
performance.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple sources including advertising platforms (Google Ads, Facebook Ads, Bing Ads), CRM systems, and operational databases
Manage and optimize our Snowflake data warehouse, including schema design, query performance tuning, and cost optimization
Configure and maintain Fivetran connectors and data integrations, ensuring data quality and timely syncs across all platforms
Develop and maintain data transformation layers using SQL and dbt to create clean, reliable datasets for analytics consumption
Build and manage automated workflows and Snowflake tasks for scheduled data refreshes and reporting
Partner with the analytics team to understand data requirements and translate them into robust technical solutions
Implement data quality monitoring, alerting, and validation frameworks to ensure accuracy and completeness
Document data models, pipelines, and processes to maintain institutional knowledge
Support HIPAA-compliant data handling practices and maintain appropriate access controls
Troubleshoot data issues and perform root cause analysis when discrepancies arise
Basic Qualifications
B.S. in Computer Science, Data Engineering, Information Systems, or related technical field
5+ years of experience in data engineering, analytics engineering, or related roles
Expert-level SQL skills with experience writing complex queries and optimizing performance
Hands-on experience with cloud data warehouses, preferably Snowflake
Experience with ETL/ELT tools and data integration platforms (Fivetran, Stitch, Airbyte, or similar)
Proficiency in Python for data processing and automation
Experience with data transformation tools such as dbt
Strong understanding of data modeling concepts (dimensional modeling, star schemas)
Familiarity with version control (Git) and CI/CD practices for data pipelines
Experience working with marketing and advertising data (Google Ads, Facebook Ads APIs) is a plus
Strong problem-solving skills and attention to detail
Excellent communication skills and ability to collaborate with non-technical stakeholders
Preferred Qualifications
Experience in healthcare, digital health, or e-commerce industries
Familiarity with HIPAA compliance requirements for data handling
Experience with workflow orchestration tools (Airflow, Dagster, Prefect)
Knowledge of BI tools such as Sigma Computing, Tableau, or Looker
Experience with GA4 data exports and BigQuery
Understanding of marketing attribution models and customer analytics data requirements
Snowflake certifications or equivalent cloud data platform experience
Benefits
Health Coverage: Comprehensive health, dental, and vision insurance
Retirement: 401(k) plan
Time Off: Generous paid time off policy
Career Growth: Opportunities to grow within a rapidly expanding company
Mission-Driven Work: Be part of an organization focused on healthcare accessibility and innovation
If you’re eager for the freedom to take ownership of our analytics strategy, develop innovative
optimization solutions, and thrive while being given the room to build and lead a world-class
analytics organization, this is the perfect opportunity for you. We’re looking for someone driven
to make an impact through data, take initiative in establishing best practices, and grow
alongside our company as we tackle new analytical challenges together.
#J-18808-Ljbffr