Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in McLean, VA, on a contract basis. Requires 8+ years in data engineering, expertise in Python, SQL, AWS, and financial services experience. Only US Citizens, Green Card holders, or EAD candidates eligible.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Lambda (AWS Lambda) #MongoDB #Data Governance #Redshift #Datasets #Data Engineering #Scala #"ETL (Extract #Transform #Load)" #Azure #Data Science #Data Warehouse #Data Lake #Security #AWS S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Snowflake #Agile #Distributed Computing #SQL (Structured Query Language) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #Computer Science #GCP (Google Cloud Platform) #Compliance #NoSQL #Hadoop #Databases #Java #Python #AWS (Amazon Web Services)
Role description
Senior Data Engineer
Location : Mclean ,VA
Employment Type: Contract
Note : This role is only for US Citizens , Green Card , EAD
Key Responsibilities
• Architect and implement robust ETL/ELT pipelines using Spark, Python, and SQL
• Design and manage data lakes and data warehouses (e.g., Snowflake, Redshift)
• Collaborate with data scientists, analysts, and product teams to deliver clean, reliable datasets
• Optimize data workflows for performance, scalability, and cost-efficiency
• Ensure data governance, security, and compliance with financial regulations
• Develop real-time data streaming solutions using Kafka or similar tools
• Mentor junior engineers and contribute to best practices in data engineering
Required Skills & Qualifications
• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• 8+ years of experience in data engineering, preferably in financial services
• Expertise in Python, SQL, and one or more JVM languages (Java/Scala)
• Hands-on experience with AWS (S3, EMR, Lambda, Glue, Redshift) or Azure/GCP
• Strong knowledge of distributed computing frameworks (Spark, Hadoop)
• Experience with NoSQL databases (MongoDB, Cassandra)
• Familiarity with CI/CD pipelines and Agile methodologies
• Excellent problem-solving and communication skills
Senior Data Engineer
Location : Mclean ,VA
Employment Type: Contract
Note : This role is only for US Citizens , Green Card , EAD
Key Responsibilities
• Architect and implement robust ETL/ELT pipelines using Spark, Python, and SQL
• Design and manage data lakes and data warehouses (e.g., Snowflake, Redshift)
• Collaborate with data scientists, analysts, and product teams to deliver clean, reliable datasets
• Optimize data workflows for performance, scalability, and cost-efficiency
• Ensure data governance, security, and compliance with financial regulations
• Develop real-time data streaming solutions using Kafka or similar tools
• Mentor junior engineers and contribute to best practices in data engineering
Required Skills & Qualifications
• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• 8+ years of experience in data engineering, preferably in financial services
• Expertise in Python, SQL, and one or more JVM languages (Java/Scala)
• Hands-on experience with AWS (S3, EMR, Lambda, Glue, Redshift) or Azure/GCP
• Strong knowledge of distributed computing frameworks (Spark, Hadoop)
• Experience with NoSQL databases (MongoDB, Cassandra)
• Familiarity with CI/CD pipelines and Agile methodologies
• Excellent problem-solving and communication skills
