Python Data Engineer (PySpark) ___ McLean, VA (Onsite) ___ Contract [F2F Interview - Locals Only]
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Data Engineer (PySpark) in McLean, VA, on a contract basis. Requires 8+ years of experience in Python, PySpark, AWS, and event-based systems. Face-to-face interview mandatory; local candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 28, 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
#Scala #Docker #Compliance #Version Control #PostgreSQL #NoSQL #Kubernetes #MongoDB #DynamoDB #Migration #Microservices #VPC (Virtual Private Cloud) #Spark (Apache Spark) #Storage #Database Migration #Oracle #RDBMS (Relational Database Management System) #EC2 #S3 (Amazon Simple Storage Service) #PySpark #Agile #Data Storage #Kafka (Apache Kafka) #Cloud #Data Engineering #Data Science #AWS (Amazon Web Services) #Data Security #Jenkins #MySQL #GIT #Databases #Data Pipeline #Data Processing #Security #Python
Role description
Job Title: Senior Python Data Engineer (PySpark)
Location: McLean, VA (Onsite – Face-to-Face Interview Required)
Type: Contract
Job Description
We are looking for a Senior Python Data Engineer with strong expertise in PySpark, event-based systems, and AWS cloud services to join our team onsite in McLean, VA. The ideal candidate will bring deep technical skills in building scalable data pipelines, microservices, and real-time streaming solutions.
Responsibilities
• Design, build, and optimize large-scale data pipelines using Python and PySpark.
• Develop event-driven and streaming solutions leveraging Kafka.
• Build and maintain microservices-based data processing systems.
• Work with AWS cloud services (EC2, EKS, S3, AIM, VPC) to deploy and scale data engineering solutions.
• Ensure reliability, scalability, and performance of data infrastructure.
• Implement CI/CD pipelines using Jenkins, Git, and Flyway for version control and database migration.
• Collaborate with data scientists, product owners, and architects to deliver data solutions that support business needs.
• Work with both RDBMS and NoSQL databases for structured and unstructured data storage.
Required Skills & Experience
• 8+ years of professional experience in Python development (senior-level).
• Strong hands-on experience in Data Engineering and building data pipelines.
• Expertise in PySpark and distributed data processing.
• Experience in event-based systems and streaming (Kafka).
• Strong knowledge of AWS services: EC2, EKS, S3, AIM, VPC.
• Proficiency with CI/CD tools: Flyway, Jenkins, Git.
• Experience with microservices development.
• Hands-on with both RDBMS (e.g., PostgreSQL, Oracle, MySQL) and NoSQL (e.g., MongoDB, DynamoDB).
• Strong problem-solving skills and ability to work onsite with cross-functional teams.
Nice To Have
• Knowledge of containerization (Docker, Kubernetes).
• Experience with data security and compliance practices in financial services.
• Exposure to Agile/SAFe development methodologies.
If interested, please share resume to Sanghab@acestackllc.com
Job Title: Senior Python Data Engineer (PySpark)
Location: McLean, VA (Onsite – Face-to-Face Interview Required)
Type: Contract
Job Description
We are looking for a Senior Python Data Engineer with strong expertise in PySpark, event-based systems, and AWS cloud services to join our team onsite in McLean, VA. The ideal candidate will bring deep technical skills in building scalable data pipelines, microservices, and real-time streaming solutions.
Responsibilities
• Design, build, and optimize large-scale data pipelines using Python and PySpark.
• Develop event-driven and streaming solutions leveraging Kafka.
• Build and maintain microservices-based data processing systems.
• Work with AWS cloud services (EC2, EKS, S3, AIM, VPC) to deploy and scale data engineering solutions.
• Ensure reliability, scalability, and performance of data infrastructure.
• Implement CI/CD pipelines using Jenkins, Git, and Flyway for version control and database migration.
• Collaborate with data scientists, product owners, and architects to deliver data solutions that support business needs.
• Work with both RDBMS and NoSQL databases for structured and unstructured data storage.
Required Skills & Experience
• 8+ years of professional experience in Python development (senior-level).
• Strong hands-on experience in Data Engineering and building data pipelines.
• Expertise in PySpark and distributed data processing.
• Experience in event-based systems and streaming (Kafka).
• Strong knowledge of AWS services: EC2, EKS, S3, AIM, VPC.
• Proficiency with CI/CD tools: Flyway, Jenkins, Git.
• Experience with microservices development.
• Hands-on with both RDBMS (e.g., PostgreSQL, Oracle, MySQL) and NoSQL (e.g., MongoDB, DynamoDB).
• Strong problem-solving skills and ability to work onsite with cross-functional teams.
Nice To Have
• Knowledge of containerization (Docker, Kubernetes).
• Experience with data security and compliance practices in financial services.
• Exposure to Agile/SAFe development methodologies.
If interested, please share resume to Sanghab@acestackllc.com
