Data Engineer
TelyRx
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudETLPythonSQL
About the role
- 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
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTSQLdbtPythondata modelingdimensional modelingquery performance tuningdata transformationdata quality monitoring
Soft skills
problem-solvingattention to detailcommunicationcollaboration