TelyRx

Enhancing the pharmacy experience for telehealth providers and their patients.

Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2022H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

51 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishCloudETLPythonSQL

Job Description

• 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

Job 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

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