

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8+ years of experience, offering an in-person contract in MD/VA/WA at a pay rate of "pay rate." Key skills include AWS services, Python, SQL, and data modeling, with a focus on compliance and performance optimization.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 2, 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
Suitland, MD
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π§ - Skills detailed
#Infrastructure as Code (IaC) #SQL (Structured Query Language) #Data Modeling #PySpark #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Data Pipeline #Terraform #Databases #Python #Scala #"ETL (Extract #Transform #Load)" #Monitoring #GDPR (General Data Protection Regulation) #Cloud #Data Engineering #Security #Spark SQL #AWS (Amazon Web Services) #Data Science #Deployment #Spark (Apache Spark) #Snowflake #Compliance #Batch #Redshift
Role description
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Sr Data Engineer
MD/VA/WA (Locals only) -Inperson interview
Hands-on Data Engineer capable of leading projects and collaborating directly with clients to design and develop solutions with strong communication skills.
Experience : 8+Years
Responsibilities
Build and manage data pipelines using Python, Pyspark, SQL for batch and streaming processes.
Use AWS services like Glue, S3, Redshift, Lambda, and EMR to create scalable data solutions.
Develop efficient data models and administer databases with schema optimization and performance tuning.
Create analytical databases with Redshift or Snowflake and implement ETL best practices.
Optimize query performance and ensure pipeline reliability with monitoring tools like CloudWatch.
Adhere to security and compliance standards (e.g., GDPR, HIPAA) and automate deployments using IaC tools like CloudFormation or Terraform.
Collaborate with data scientists, analysts, and stakeholders to meet data needs and stay updated on AWS advancements.
Skills
Strong technical expertise in AWS services, data engineering, data modeling, and performance optimization.
Excellent communication and teamwork abilities for client and cross-functional collaboration.