Data Engineer

Description

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

medications people need. 

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.