

Ledelsea
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a W2 contract-to-hire basis, requiring 5+ years of data engineering experience, strong SQL proficiency, Azure Data Factory expertise, and Python skills. Monthly travel to Dallas, Texas, is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
December 11, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Irving, TX
-
π§ - Skills detailed
#Cloud #Azure DevOps #Azure Data Factory #GIT #SQL (Structured Query Language) #Data Science #MS SQL (Microsoft SQL Server) #Python #Monitoring #Azure #Microsoft Power BI #Model Deployment #SQL Queries #Documentation #Computer Science #ML (Machine Learning) #SQL Server #Data Engineering #Automation #Data Manipulation #ADF (Azure Data Factory) #Security #Scala #DevOps #AWS (Amazon Web Services) #Data Modeling #"ETL (Extract #Transform #Load)" #Data Quality #BI (Business Intelligence) #Deployment
Role description
W2 Contract to Hire Role with Monthly Travel to the Dallas Texas area
We are looking for a highly skilled and independent Data Engineer to support our analytics and data science teams, as well as external client data needs. This role involves writing and optimizing complex SQL queries, generating client-specific data extracts, and building scalable ETL pipelines using Azure Data Factory. The ideal candidate will have a strong foundation in data engineering, with a collaborative mindset and the ability to work across teams and systems.
β’ Duties/Responsibilities:Develop and optimize complex SQL queries to support internal analytics and external client data requests.
β’ Generate custom data lists and extracts based on client specifications and business rules.
β’ Design, build, and maintain efficient ETL pipelines using Azure Data Factory.
β’ Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
β’ Work with Salesforce data; familiarity with SOQL is preferred but not required.
β’ Support Power BI reporting through basic data modeling and integration.
β’ Assist in implementing MLOps practices for model deployment and monitoring.
β’ Use Python for data manipulation, automation, and integration tasks.
β’ Ensure data quality, consistency, and security across all workflows and systems.
Required Skills/Abilities/Attributes:
β’ 5+ years of experience in data engineering or a related field.
β’ Strong proficiency in SQL, including query optimization and performance tuning.
β’ Experience with Azure Data Factory, with git repository and pipeline deployment.
β’ Ability to translate client requirements into accurate and timely data outputs.
β’ Working knowledge of Python for data-related tasks.
β’ Strong problem-solving skills and ability to work independently.
β’ Excellent communication and documentation skills.
Preferred Skills/ExperiencePrevious knowledge of building pipelines for ML models.
β’ Extensive experience creating/managing stored procedures and functions in MS SQL Server
β’ 2+ years of experience in cloud architecture (Azure, AWS, etc)
β’ Experience with βcode managementβ systems (Azure Devops)
β’ 2+ years of reporting design and management (PowerBI Preferred)
β’ Ability to influence others through the articulation of ideas, concepts, benefits, etc.
Education and Experience:
β’ Bachelorβs degree in a computer science field or applicable business experience.
β’ Minimum 3 years of experience in a Data Engineering role
β’ Healthcare experience preferred.
β’ Physical Requirements:Prolonged periods sitting at a desk and working on a computer.
β’ Ability to lift 20 lbs.
W2 Contract to Hire Role with Monthly Travel to the Dallas Texas area
We are looking for a highly skilled and independent Data Engineer to support our analytics and data science teams, as well as external client data needs. This role involves writing and optimizing complex SQL queries, generating client-specific data extracts, and building scalable ETL pipelines using Azure Data Factory. The ideal candidate will have a strong foundation in data engineering, with a collaborative mindset and the ability to work across teams and systems.
β’ Duties/Responsibilities:Develop and optimize complex SQL queries to support internal analytics and external client data requests.
β’ Generate custom data lists and extracts based on client specifications and business rules.
β’ Design, build, and maintain efficient ETL pipelines using Azure Data Factory.
β’ Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
β’ Work with Salesforce data; familiarity with SOQL is preferred but not required.
β’ Support Power BI reporting through basic data modeling and integration.
β’ Assist in implementing MLOps practices for model deployment and monitoring.
β’ Use Python for data manipulation, automation, and integration tasks.
β’ Ensure data quality, consistency, and security across all workflows and systems.
Required Skills/Abilities/Attributes:
β’ 5+ years of experience in data engineering or a related field.
β’ Strong proficiency in SQL, including query optimization and performance tuning.
β’ Experience with Azure Data Factory, with git repository and pipeline deployment.
β’ Ability to translate client requirements into accurate and timely data outputs.
β’ Working knowledge of Python for data-related tasks.
β’ Strong problem-solving skills and ability to work independently.
β’ Excellent communication and documentation skills.
Preferred Skills/ExperiencePrevious knowledge of building pipelines for ML models.
β’ Extensive experience creating/managing stored procedures and functions in MS SQL Server
β’ 2+ years of experience in cloud architecture (Azure, AWS, etc)
β’ Experience with βcode managementβ systems (Azure Devops)
β’ 2+ years of reporting design and management (PowerBI Preferred)
β’ Ability to influence others through the articulation of ideas, concepts, benefits, etc.
Education and Experience:
β’ Bachelorβs degree in a computer science field or applicable business experience.
β’ Minimum 3 years of experience in a Data Engineering role
β’ Healthcare experience preferred.
β’ Physical Requirements:Prolonged periods sitting at a desk and working on a computer.
β’ Ability to lift 20 lbs.





