Mindlance
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in McLean/Richmond, VA, offering a 12-month contract at a competitive pay rate. Key skills include Python, AWS, Pyspark, Kubernetes, and SQL. A degree in Computer Science or related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
June 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
McLean, VA
-
🧠 - Skills detailed
#Programming #Data Analysis #Spark (Apache Spark) #Computer Science #Monitoring #ML (Machine Learning) #Data Engineering #Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Deployment #Security #Kubernetes #Data Pipeline #Data Science #Data Processing #Automation #Data Quality #Python #Version Control #Data Extraction #Cloud #PySpark #SQL (Structured Query Language) #Data Security #Databricks #"ETL (Extract #Transform #Load)" #SQL Queries #Scala
Role description
Job Title: Data Engineer
Location: McLean/Richmond, VA-3 days Hybrid
Duration: 12 Months
Job Description
• Design, build, and optimize scalable data pipelines using Pyspark and Python.
• Develop and maintain data processing solutions on AWS.
• Build and manage ML infrastructure using Kubernetes and Kubeflow.
• Implement MLOps best practices for model training, deployment, monitoring, and automation.
• Develop and optimize Databricks-based data engineering solutions.
• Write efficient SQL queries for data extraction, transformation, and analysis.
• Work closely with data scientists to operationalize machine learning models.
• Automate CI/CD pipelines for machine learning and data engineering workflows.
• Monitor data quality, pipeline performance, and system reliability.
• Troubleshoot production issues and implement performance improvements.
• Collaborate with cross-functional teams to deliver scalable data solutions.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in Data Engineering and MLOps.
• Strong programming skills in Python.
• Hands-on experience with AWS cloud services.
• Experience building distributed data processing applications using Spark/Pyspark.
• Strong knowledge of Kubernetes and containerized deployments.
• Experience implementing ML pipelines using Kubeflow.
• Hands-on experience with Databricks.
• Strong SQL skills for data analysis and engineering.
• Good understanding of software engineering best practices, version control, and CI/CD.
Nice-to-Have Skills
• Experience with model monitoring and governance.
• Knowledge of feature engineering and feature stores.
• Familiarity with Infrastructure as Code (IaC).
• Experience with workflow orchestration platforms.
• Understanding of data security and governance.
• Exposure to large-scale distributed systems.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Job Title: Data Engineer
Location: McLean/Richmond, VA-3 days Hybrid
Duration: 12 Months
Job Description
• Design, build, and optimize scalable data pipelines using Pyspark and Python.
• Develop and maintain data processing solutions on AWS.
• Build and manage ML infrastructure using Kubernetes and Kubeflow.
• Implement MLOps best practices for model training, deployment, monitoring, and automation.
• Develop and optimize Databricks-based data engineering solutions.
• Write efficient SQL queries for data extraction, transformation, and analysis.
• Work closely with data scientists to operationalize machine learning models.
• Automate CI/CD pipelines for machine learning and data engineering workflows.
• Monitor data quality, pipeline performance, and system reliability.
• Troubleshoot production issues and implement performance improvements.
• Collaborate with cross-functional teams to deliver scalable data solutions.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in Data Engineering and MLOps.
• Strong programming skills in Python.
• Hands-on experience with AWS cloud services.
• Experience building distributed data processing applications using Spark/Pyspark.
• Strong knowledge of Kubernetes and containerized deployments.
• Experience implementing ML pipelines using Kubeflow.
• Hands-on experience with Databricks.
• Strong SQL skills for data analysis and engineering.
• Good understanding of software engineering best practices, version control, and CI/CD.
Nice-to-Have Skills
• Experience with model monitoring and governance.
• Knowledge of feature engineering and feature stores.
• Familiarity with Infrastructure as Code (IaC).
• Experience with workflow orchestration platforms.
• Understanding of data security and governance.
• Exposure to large-scale distributed systems.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
