Wise Equation Solutions Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in McLean, VA, offering a contract of unspecified length with a pay rate of "unknown". Candidates must have 7+ years of experience, strong skills in Python, PySpark, AWS, and data engineering in enterprise environments.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
McLean, VA
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Data Science #Data Processing #ML (Machine Learning) #AWS (Amazon Web Services) #Data Warehouse #GIT #PySpark #Data Modeling #Python #Redshift #Logging #Compliance #Data Engineering #Scala #Data Architecture #Data Pipeline #S3 (Amazon Simple Storage Service) #Data Lake #Data Quality #Cloud #Security #Spark (Apache Spark) #Computer Science #Automation #Apache Spark #IAM (Identity and Access Management) #Monitoring #SQL (Structured Query Language)
Role description
Job Title: Data Engineer
Location: McLean VA – Onsite interview
Roles and Responsibilities:
Freddie Mac- Data Engineer- McLean VA- glider pre-screen + onsite interview
Skill Highlights- please indicate the # of years on each of the following skills:
• Python
• PySpark and Apache Spark
• Experience building scalable distributed data systems.
• ETL design patterns
• Experience with SQL
• Data modeling
• Familiarity with Git-based workflows
AWS environments:
• S3
• EMR
• Glue
• Lambda
• IAM
• Redshift (preferred)
Position Overview:
• Client is seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and analytics platforms supporting enterprise data initiatives.
• This role requires strong hands-on expertise in Python, PySpark, Spark, and AWS to support large-scale data processing, transformation, and cloud-native data architectures.
• The ideal candidate will have deep experience in distributed data systems, cloud engineering, and building reliable, high-performance data solutions in regulated enterprise environments.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Python and PySpark
• Build and optimize distributed data processing frameworks using Apache Spark
• Engineer and manage cloud-based data solutions on AWS
• Develop ETL/ELT workflows to process structured and semi-structured data
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Implement data quality checks, logging, and monitoring mechanisms
• Support data lake and data warehouse integrations
• Collaborate with Data Scientists, Analysts, and Engineering teams to support analytics and ML workloads.
• Ensure compliance with enterprise governance, security, and data standards
• Participate in CI/CD automation for data pipelines
Required Skills:
• Strong proficiency in Python
• Hands-on experience with PySpark and Apache Spark
• Experience building scalable distributed data systems.
• Strong understanding of ETL design patterns
• Experience with SQL and data modeling
• Familiarity with Git-based workflows
Extensive experience working in AWS environments:
• S3
• EMR
• Glue
• Lambda
• IAM
• Redshift (preferred)
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 7 plus years of data engineering experience
• Experience working in enterprise-scale environments.
Job Title: Data Engineer
Location: McLean VA – Onsite interview
Roles and Responsibilities:
Freddie Mac- Data Engineer- McLean VA- glider pre-screen + onsite interview
Skill Highlights- please indicate the # of years on each of the following skills:
• Python
• PySpark and Apache Spark
• Experience building scalable distributed data systems.
• ETL design patterns
• Experience with SQL
• Data modeling
• Familiarity with Git-based workflows
AWS environments:
• S3
• EMR
• Glue
• Lambda
• IAM
• Redshift (preferred)
Position Overview:
• Client is seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and analytics platforms supporting enterprise data initiatives.
• This role requires strong hands-on expertise in Python, PySpark, Spark, and AWS to support large-scale data processing, transformation, and cloud-native data architectures.
• The ideal candidate will have deep experience in distributed data systems, cloud engineering, and building reliable, high-performance data solutions in regulated enterprise environments.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Python and PySpark
• Build and optimize distributed data processing frameworks using Apache Spark
• Engineer and manage cloud-based data solutions on AWS
• Develop ETL/ELT workflows to process structured and semi-structured data
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Implement data quality checks, logging, and monitoring mechanisms
• Support data lake and data warehouse integrations
• Collaborate with Data Scientists, Analysts, and Engineering teams to support analytics and ML workloads.
• Ensure compliance with enterprise governance, security, and data standards
• Participate in CI/CD automation for data pipelines
Required Skills:
• Strong proficiency in Python
• Hands-on experience with PySpark and Apache Spark
• Experience building scalable distributed data systems.
• Strong understanding of ETL design patterns
• Experience with SQL and data modeling
• Familiarity with Git-based workflows
Extensive experience working in AWS environments:
• S3
• EMR
• Glue
• Lambda
• IAM
• Redshift (preferred)
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 7 plus years of data engineering experience
• Experience working in enterprise-scale environments.
