Senior Data Warehouse Engineer

Employer Direct Healthcare

. Build, develop, and maintain scalable ELT workflows using Azure Data Factory, Fivetran, and dbt .

Posted 10/2/2026full-timeDallas • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing scalable ELT workflows using Azure Data Factory, Fivetran, and dbt, alongside strong proficiency in Python and SQL for data engineering tasks. Capable of collaborating with cross-functional teams to refine data models and enhance performance for analytics and reporting.

Highest-signal resume keywords

Azure Data FactoryPythonSQLDatabricksData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ELT WorkflowsData ModelingPerformance TuningDimensional ModelingData Pipeline DevelopmentQuery OptimizationAI Coding ToolsFivetranDbtSpark

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

DatabricksDelta LakeWorkflowsLantern Analytic PlatformClaude CodeCopilot

Industry Keywords

Healthcare

Tech Stack

Tools & technologies

AzureETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Build, develop, and maintain scalable ELT workflows using Azure Data Factory, Fivetran, and dbt
Monitor pipeline health and troubleshoot issues to ensure reliable data delivery
Partner with data analysts to understand business needs and translate them into efficient, well-documented dbt data models
Continuously refine data models to support evolving analytic requirements
Manage and optimize the Lantern Analytic Platform
Monitor query performance and implement data partitioning strategies
Refine data models to enhance speed and efficiency

Requirements

What you’ll need

Bachelor's degree in Computer Science or a related field (or equivalent practical experience)
A minimum of 5 years of professional experience as a Data Engineer, Data Warehouse Engineer, or similar role building production data pipelines
A minimum of 5 years of production-grade experience with Python and SQL
A minimum of 2 years of hands-on experience with Databricks (Spark/PySpark, Delta Lake, Workflows)
Hands-on experience building ELT/ETL pipelines with tools such as Azure Data Factory, Fivetran, or dbt
Strong understanding of data warehousing concepts, with hands-on experience designing, building, and optimizing data models (e.g., dimensional modeling)
Experience with query and pipeline performance tuning
Experience supporting analytics and reporting consumers, partnering with analysts and cross-functional teams
Hands-on experience using AI coding tools (e.g., Claude Code, Copilot) in day-to-day engineering work
Preferred: Experience with Databricks Genie or Snowflake Cortex
Preferred: Experience in the healthcare industry

Benefits

Comp & perks

Medical Insurance
Dental Insurance
Vision Insurance
Short & Long Term Disability
Life Insurance
401k with company match
Flexible Time Off
Paid Parental Leave