

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 15+ years of experience, focused on data modeling and cloud-native platforms. Requires expertise in AWS/Azure, Data Lakes, ETL/ELT, and tools like Apache Spark and Data Bricks. Contract length and pay rate unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
May 21, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA
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π§ - Skills detailed
#Microsoft Power BI #PySpark #AWS (Amazon Web Services) #Data Architecture #Azure #Cloud #Data Engineering #Data Integration #AWS Glue #"ETL (Extract #Transform #Load)" #Apache Spark #Delta Lake #Redshift #Spark (Apache Spark) #Data Modeling #Data Bricks #AI (Artificial Intelligence) #Scala #BI (Business Intelligence) #Data Governance #S3 (Amazon Simple Storage Service) #Apache Airflow #Data Lake #Airflow
Role description
Data Modeling Engineer
Contract
Reston, VA (Onsite interview )
Description:
15+ years of experience in data engineering
5+ years iof experience in designing scalable, cloud-native platforms using AWS, Azure,
Experience using Data Bricks is desired
Expert in implementing modern data architectures such as Data Lake, Delta Lake, Lakehouse, OneLake, and Data Mesh for real-time analytics and AI-driven insights.
Proven ability to optimize data integration pipelines (ETL/ELT), implementing Change Data Capture (CDC) for Analytics projects, and drive robust data governance.
Skilled in leveraging S3, Redshift, AWS Glue, EMR, Azure Data Lake, and Power BI to deliver secure, high-performance solutions and self-service BI ecosystems.
Skilled in leveraging Apache Airflow, Apache Flink and other Data tools
Experienced in distributed data compute architecture using Apache Spark and PySpark.
Thanks
Lalit
Lalit@hirextra.com
Data Modeling Engineer
Contract
Reston, VA (Onsite interview )
Description:
15+ years of experience in data engineering
5+ years iof experience in designing scalable, cloud-native platforms using AWS, Azure,
Experience using Data Bricks is desired
Expert in implementing modern data architectures such as Data Lake, Delta Lake, Lakehouse, OneLake, and Data Mesh for real-time analytics and AI-driven insights.
Proven ability to optimize data integration pipelines (ETL/ELT), implementing Change Data Capture (CDC) for Analytics projects, and drive robust data governance.
Skilled in leveraging S3, Redshift, AWS Glue, EMR, Azure Data Lake, and Power BI to deliver secure, high-performance solutions and self-service BI ecosystems.
Skilled in leveraging Apache Airflow, Apache Flink and other Data tools
Experienced in distributed data compute architecture using Apache Spark and PySpark.
Thanks
Lalit
Lalit@hirextra.com