Data Engineer at TELYRX LLC

Irving, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Snowflake, ETL, ELT, Python, Data Transformation, dbt, Data Modeling, Git, CI/CD, Marketing Data, Problem-Solving, Communication, Healthcare, Data Quality

Industry

Hospitals and Health Care

Description

Description 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 Requirements 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.

Responsibilities

The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and manage the Snowflake data warehouse. They will also partner with the analytics team to ensure data quality and timely integrations.