

Matlen Silver
Big Data/Machine Learning Engineer - Sr
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Big Data/Machine Learning Engineer for a 6-month hybrid contract in Plano, TX, offering competitive pay. Requires 5+ years in big data and machine learning, proficiency in Python/Java/Scala, and experience with AWS/Azure/GCP and big data technologies.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 21, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Plano, TX
-
π§ - Skills detailed
#Deployment #Datasets #Kubernetes #Security #Computer Science #Data Processing #"ETL (Extract #Transform #Load)" #Data Quality #Data Science #Scala #AWS (Amazon Web Services) #Azure #GCP (Google Cloud Platform) #Hadoop #Spark (Apache Spark) #Data Pipeline #Agile #Data Engineering #Programming #Big Data #Python #TensorFlow #Java #PyTorch #ML (Machine Learning) #Model Deployment #Docker #Cloud #Kafka (Apache Kafka)
Role description
Job Title: Senior Big Data / Machine Learning Engineer
Location: Plano, TX (Hybrid)
Duration: 6-Month Contract (with potential extension)
Overview:
We are seeking an experienced Senior Big Data / Machine Learning Engineer to join our team in Plano, TX. This hybrid role is ideal for a highly skilled professional with a strong background in data engineering and machine learning, capable of designing and implementing scalable data solutions. You will play a key role in building and optimizing data pipelines, developing machine learning models, and supporting data-driven decision-making across the organization.
Key Responsibilities:
β’ Design, build, and maintain scalable big data pipelines and architectures
β’ Develop, deploy, and optimize machine learning models in production environments
β’ Collaborate with cross-functional teams including data scientists, analysts, and software engineers
β’ Process and analyze large, complex datasets to extract actionable insights
β’ Ensure data quality, integrity, and security across systems
β’ Optimize performance and scalability of data processing systems
β’ Stay current with emerging technologies and best practices in big data and ML
Required Qualifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
β’ 5+ years of experience in big data engineering and/or machine learning
β’ Strong programming skills in Python, Java, or Scala
β’ Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
β’ Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
β’ Experience with cloud platforms such as AWS, Azure, or GCP
β’ Solid understanding of data structures, algorithms, and distributed systems
Preferred Qualifications:
β’ Experience with MLOps and model deployment pipelines
β’ Familiarity with containerization tools (Docker, Kubernetes)
β’ Experience working in Agile environments
β’ Strong problem-solving and communication skillsΒ
Job Title: Senior Big Data / Machine Learning Engineer
Location: Plano, TX (Hybrid)
Duration: 6-Month Contract (with potential extension)
Overview:
We are seeking an experienced Senior Big Data / Machine Learning Engineer to join our team in Plano, TX. This hybrid role is ideal for a highly skilled professional with a strong background in data engineering and machine learning, capable of designing and implementing scalable data solutions. You will play a key role in building and optimizing data pipelines, developing machine learning models, and supporting data-driven decision-making across the organization.
Key Responsibilities:
β’ Design, build, and maintain scalable big data pipelines and architectures
β’ Develop, deploy, and optimize machine learning models in production environments
β’ Collaborate with cross-functional teams including data scientists, analysts, and software engineers
β’ Process and analyze large, complex datasets to extract actionable insights
β’ Ensure data quality, integrity, and security across systems
β’ Optimize performance and scalability of data processing systems
β’ Stay current with emerging technologies and best practices in big data and ML
Required Qualifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
β’ 5+ years of experience in big data engineering and/or machine learning
β’ Strong programming skills in Python, Java, or Scala
β’ Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
β’ Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
β’ Experience with cloud platforms such as AWS, Azure, or GCP
β’ Solid understanding of data structures, algorithms, and distributed systems
Preferred Qualifications:
β’ Experience with MLOps and model deployment pipelines
β’ Familiarity with containerization tools (Docker, Kubernetes)
β’ Experience working in Agile environments
β’ Strong problem-solving and communication skillsΒ






