Mindlance
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Washington, DC, offering a 12-month contract at a hybrid work location. Key skills include Azure Data Factory, DBT, Databricks, and Python. Local DMV area candidates preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
March 14, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Washington, United States
-
🧠 - Skills detailed
#Data Analysis #dbt (data build tool) #Data Quality #ADF (Azure Data Factory) #Data Integration #Azure Data Factory #Azure #Data Engineering #Data Pipeline #Data Processing #Cloud #Databricks #Python #Scala #"ETL (Extract #Transform #Load)"
Role description
Job Title: Data Engineer
Location: Washington, DC- 4 Days Hybrid
Duration: 12 Months
Job Description:
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong experience working with modern data engineering tools and cloud platforms to support data integration, transformation, and analytics.
Candidate should be local to DMV area. This is a 4 days Hybrid role.
Key Responsibilities:
• Design and develop scalable data pipelines using Azure Data Factory (ADF).
• Build and manage data transformation workflows using DBT (Data Build Tool).
• Work with Databricks for data processing and analytics.
• Develop and optimize data solutions using Python.
• Ensure data quality, reliability, and performance across data systems.
• Collaborate with data analysts and stakeholders to deliver data-driven solutions.
Required Skills:
• Strong experience with Azure Data Factory (ADF)
• Hands-on experience with DBT (Data Build Tool)
• Experience working with Databricks
• Proficiency in Python
• Good understanding of data pipeline architecture and ETL processes
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Job Title: Data Engineer
Location: Washington, DC- 4 Days Hybrid
Duration: 12 Months
Job Description:
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong experience working with modern data engineering tools and cloud platforms to support data integration, transformation, and analytics.
Candidate should be local to DMV area. This is a 4 days Hybrid role.
Key Responsibilities:
• Design and develop scalable data pipelines using Azure Data Factory (ADF).
• Build and manage data transformation workflows using DBT (Data Build Tool).
• Work with Databricks for data processing and analytics.
• Develop and optimize data solutions using Python.
• Ensure data quality, reliability, and performance across data systems.
• Collaborate with data analysts and stakeholders to deliver data-driven solutions.
Required Skills:
• Strong experience with Azure Data Factory (ADF)
• Hands-on experience with DBT (Data Build Tool)
• Experience working with Databricks
• Proficiency in Python
• Good understanding of data pipeline architecture and ETL processes
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
