Galent
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Charlotte, NC, on a 12+ month contract, offering a competitive pay rate. Key skills include Python, SQL, PySpark, ETL, Azure, and Power BI. Financial services domain experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#ML (Machine Learning) #SSRS (SQL Server Reporting Services) #Airflow #BI (Business Intelligence) #Scala #Synapse #Azure #Spark (Apache Spark) #Data Engineering #dbt (data build tool) #DAX #Retool #R #DevOps #Programming #Python #SQL (Structured Query Language) #Apache Airflow #ADF (Azure Data Factory) #Snowflake #Visualization #GitHub #AI (Artificial Intelligence) #SSIS (SQL Server Integration Services) #PySpark #Agile #"ETL (Extract #Transform #Load)" #SQL Server #Automated Testing #Vault #Cloud #Microsoft Power BI
Role description
Role: Date Engineer
Location: Charlotte, NC (In-person interview required)
Contract: 12+ months
Need Data Engineer for a leading analytics and technology solutions organization specializing in data analytics, business intelligence, and digital transformation services. Seeking strong hands-on development and coding experience in Python, SQL, and PySpark, along with expertise in ETL, DevOps, Azure, Power BI, Snowflake, Synapse, dbt, and Apache Airflow. Please note that there will be a live coding test during the interview to assess hands-on programming and problem-solving skills.
Key Responsibilities
• Develop and maintain scalable ELT pipelines and data workflows
1. Design and implement data models and warehouse structures
1. Build full stack data applications and backend services
1. Develop Snowflake-based data solutions within cloud environments
1. Write high-quality Python and SQL code
1. Implement automated testing frameworks
1. Develop reusable data engineering frameworks
1. Build and maintain CI/CD pipelines using GitHub
1. Create reporting and visualization solutions (e.g., Power BI)
1. Monitor and resolve production issues ensuring data reliability
1. Experience with automated testing and framework development
Key Competencies
• Dagster orchestration
1. dbt transformations
1. Gurobi optimization solver
1. Elementary data validation
1. Retool development
1. GoAnywhere MFT
1. Power BI and DAX
1. Azure services (ADF, Synapse, Key Vault)
1. Snowflake ML/AI or R
1. SQL Server, SSIS, SSRS
1. Financial services domain experience
1. Agile methodologies
1. Highly self-motivated with strong ownership
1. Extreme personal initiative
1. Ability to work independently and in teams
1. Highly resourceful problem solver
1. Strong communication and analytical skills
1. Ability to manage priorities in fast-paced environments
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RighttoWorkPoster.pdf
Role: Date Engineer
Location: Charlotte, NC (In-person interview required)
Contract: 12+ months
Need Data Engineer for a leading analytics and technology solutions organization specializing in data analytics, business intelligence, and digital transformation services. Seeking strong hands-on development and coding experience in Python, SQL, and PySpark, along with expertise in ETL, DevOps, Azure, Power BI, Snowflake, Synapse, dbt, and Apache Airflow. Please note that there will be a live coding test during the interview to assess hands-on programming and problem-solving skills.
Key Responsibilities
• Develop and maintain scalable ELT pipelines and data workflows
1. Design and implement data models and warehouse structures
1. Build full stack data applications and backend services
1. Develop Snowflake-based data solutions within cloud environments
1. Write high-quality Python and SQL code
1. Implement automated testing frameworks
1. Develop reusable data engineering frameworks
1. Build and maintain CI/CD pipelines using GitHub
1. Create reporting and visualization solutions (e.g., Power BI)
1. Monitor and resolve production issues ensuring data reliability
1. Experience with automated testing and framework development
Key Competencies
• Dagster orchestration
1. dbt transformations
1. Gurobi optimization solver
1. Elementary data validation
1. Retool development
1. GoAnywhere MFT
1. Power BI and DAX
1. Azure services (ADF, Synapse, Key Vault)
1. Snowflake ML/AI or R
1. SQL Server, SSIS, SSRS
1. Financial services domain experience
1. Agile methodologies
1. Highly self-motivated with strong ownership
1. Extreme personal initiative
1. Ability to work independently and in teams
1. Highly resourceful problem solver
1. Strong communication and analytical skills
1. Ability to manage priorities in fast-paced environments
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RighttoWorkPoster.pdf
