Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Dallas, TX or Charlotte, NC, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, Java, Apache Spark, AWS, and experience in machine learning pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 14, 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
Charlotte, NC
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🧠 - Skills detailed
#Data Quality #Terraform #Lambda (AWS Lambda) #Kubernetes #MongoDB #PostgreSQL #Scala #AWS (Amazon Web Services) #Deployment #Security #TensorFlow #Data Engineering #Data Pipeline #Java #Python #Spark (Apache Spark) #Tableau #GCP (Google Cloud Platform) #Snowflake #AI (Artificial Intelligence) #PySpark #Kafka (Apache Kafka) #Docker #Model Deployment #Databricks #R #ML (Machine Learning) #Compliance #Cloud #Spring Boot #AWS EC2 (Amazon Elastic Compute Cloud) #PyTorch #Apache Spark #Leadership #GIT #Programming #SQL (Structured Query Language) #EC2 #Databases #Data Science #Aurora #Jenkins
Role description
Role: Sr. Data Engineer
Location: Dallas, TX / Charlotte, NC (Onsite)
Required Skills:
• Strong programming skills in Python, Java, Scala.
• Expertise in Apache Spark, Kafka, PySpark, and Databricks.
• Hands-on experience with AWS (EC2, EMR, Lambda, Fargate, Aurora) and/or GCP.
• Proficiency in SQL and working with databases like Snowflake, PostgreSQL, MongoDB.
• Experience with CI/CD tools (Jenkins, Git), Docker, and Kubernetes.
• Familiarity with data science tools (TensorFlow, PyTorch, Scikit-learn) is a plus.
• Strong understanding of cloud security, compliance, and cost optimization.
• Experience with machine learning pipelines and AI model deployment.
• Prior experience in building internal frameworks or tools for data quality and validation.
• Contributions to open-source projects or personal ML/data engineering projects.
Responsibilities:
• Design and develop scalable data pipelines using PySpark, Scala, and Apache Spark.
• Build and maintain real-time streaming applications using Kafka.
• Develop and deploy APIs using Spring Boot for data validation and integration.
• Engineer reusable modules for data quality, schema validation, and deduplication.
• Migrate and modernize legacy systems to AWS Fargate, Lambda, and Aurora.
• Automate infrastructure provisioning using Terraform and manage CI/CD pipelines with Jenkins.
• Implement secure data handling practices including tokenization and secret management.
• Monitor and troubleshoot production systems, ensuring high availability and performance.
• Collaborate with cross-functional teams to support data onboarding, application enhancements, and operational support.
• Create dashboards and reports using Tableau for operational visibility and leadership reporting.
Regards
Praveen Kumar
Talent Acquisition Group – Strategic Recruitment Manager
praveen.r@themesoft.com| Themesoft Inc
Role: Sr. Data Engineer
Location: Dallas, TX / Charlotte, NC (Onsite)
Required Skills:
• Strong programming skills in Python, Java, Scala.
• Expertise in Apache Spark, Kafka, PySpark, and Databricks.
• Hands-on experience with AWS (EC2, EMR, Lambda, Fargate, Aurora) and/or GCP.
• Proficiency in SQL and working with databases like Snowflake, PostgreSQL, MongoDB.
• Experience with CI/CD tools (Jenkins, Git), Docker, and Kubernetes.
• Familiarity with data science tools (TensorFlow, PyTorch, Scikit-learn) is a plus.
• Strong understanding of cloud security, compliance, and cost optimization.
• Experience with machine learning pipelines and AI model deployment.
• Prior experience in building internal frameworks or tools for data quality and validation.
• Contributions to open-source projects or personal ML/data engineering projects.
Responsibilities:
• Design and develop scalable data pipelines using PySpark, Scala, and Apache Spark.
• Build and maintain real-time streaming applications using Kafka.
• Develop and deploy APIs using Spring Boot for data validation and integration.
• Engineer reusable modules for data quality, schema validation, and deduplication.
• Migrate and modernize legacy systems to AWS Fargate, Lambda, and Aurora.
• Automate infrastructure provisioning using Terraform and manage CI/CD pipelines with Jenkins.
• Implement secure data handling practices including tokenization and secret management.
• Monitor and troubleshoot production systems, ensuring high availability and performance.
• Collaborate with cross-functional teams to support data onboarding, application enhancements, and operational support.
• Create dashboards and reports using Tableau for operational visibility and leadership reporting.
Regards
Praveen Kumar
Talent Acquisition Group – Strategic Recruitment Manager
praveen.r@themesoft.com| Themesoft Inc
