Data Engineer with AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with AWS based in Reston, VA, requiring a Bachelor's/Master's degree and 4+ years of experience. Key skills include AWS services, Databricks, DBT Core, SQL, Python/PySpark, and ETL/ELT pipeline management.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Reston, VA
-
🧠 - Skills detailed
#Lambda (AWS Lambda) #dbt (data build tool) #GIT #Redshift #Automation #Datasets #Data Pipeline #Data Engineering #Scala #"ETL (Extract #Transform #Load)" #Version Control #AWS Kinesis #Kafka (Apache Kafka) #Agile #Apache Spark #SQL (Structured Query Language) #Spark (Apache Spark) #Databricks #S3 (Amazon Simple Storage Service) #PySpark #Computer Science #Complex Queries #Programming #Apache Kafka #Data Processing #Python #Deployment #AWS (Amazon Web Services)
Role description
AWS Data Engineer
Reston VA
Skills & Qualifications: Required:
• Bachelors / masters degree in computer science, Engineering or a related field.
• 4+ years of experience as a Data Engineer or in a similar role.
• Extensive hands-on experience with AWS services (S3, Redshift, Glue, Lambda, Kinesis, etc.) for building scalable and reliable data solutions.
• Advanced expertise in Databricks, including the creation and optimization of data pipelines, notebooks, and integration with other AWS services.
• Strong experience with DBT Core for data transformation and modelling, including writing, testing, and maintaining DBT models.
• Proficiency in SQL and experience with designing and optimizing complex queries for large datasets.
• Strong programming skills in Python/PySpark, with the ability to develop custom data processing logic and automate tasks.
• Experience with Data Warehousing and knowledge of concepts related to OLAP and OLTP systems.
• Expertise in building and managing ETL/ELT pipelines, automating data workflows, and performing data validation.
• Familiarity with CI/CD concepts, version control (e.g., Git), and deployment automation.
• Having worked under Agile project environment
Preferred:
• Experience with Apache Spark and distributed data processing in Databricks.
• Familiarity with streaming data solutions (e.g., AWS Kinesis, Apache Kafka
AWS Data Engineer
Reston VA
Skills & Qualifications: Required:
• Bachelors / masters degree in computer science, Engineering or a related field.
• 4+ years of experience as a Data Engineer or in a similar role.
• Extensive hands-on experience with AWS services (S3, Redshift, Glue, Lambda, Kinesis, etc.) for building scalable and reliable data solutions.
• Advanced expertise in Databricks, including the creation and optimization of data pipelines, notebooks, and integration with other AWS services.
• Strong experience with DBT Core for data transformation and modelling, including writing, testing, and maintaining DBT models.
• Proficiency in SQL and experience with designing and optimizing complex queries for large datasets.
• Strong programming skills in Python/PySpark, with the ability to develop custom data processing logic and automate tasks.
• Experience with Data Warehousing and knowledge of concepts related to OLAP and OLTP systems.
• Expertise in building and managing ETL/ELT pipelines, automating data workflows, and performing data validation.
• Familiarity with CI/CD concepts, version control (e.g., Git), and deployment automation.
• Having worked under Agile project environment
Preferred:
• Experience with Apache Spark and distributed data processing in Databricks.
• Familiarity with streaming data solutions (e.g., AWS Kinesis, Apache Kafka
