Manager, Data Engineering and Observability
Cox Enterprises
AWS
Data Warehouse Engineer, III
Employer Direct Healthcare
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • Texas • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureBigQueryCloudSQL
About the role
- Implement and Monitor ELT Pipelines: Design, develop, and maintain scalable ELT workflows using Azure Data Factory, Fivetran, and dbt. Proactively monitor pipeline health and troubleshoot issues to ensure reliable data delivery.
- Data Modeling and Collaboration: Partner with data analysts to understand business needs and translate them into efficient, well-documented data models using dbt. Continuously refine models to support evolving analytic requirements.
- Analytics Platform Optimization: Manage and optimize the Lantern Analytic Platform by monitoring query performance, implementing data partitioning strategies, and refining data models to enhance speed and efficiency.
Requirements
- Bachelors degree in computer science or related field
- 3-5 years of experience with reporting and analytics
- Proven experience with ELT tools such as Azure Data Factory, Fivetran, and dbt
- Strong SQL skills and understanding of data warehousing concepts
- Experience with performance tuning and data model optimization
- Ability to collaborate effectively with cross-functional teams
- Familiarity with cloud data platforms (e.g., Azure, Snowflake, BigQuery) is a plus
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Paid Time Off
- Paid Parental Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ELT workflowsAzure Data FactoryFivetrandbtSQLdata modelingperformance tuningdata warehousingdata partitioningdata model optimization
Soft skills
collaborationcommunicationproblem-solvingcross-functional teamwork
Certifications
Bachelor's degree in computer science
