Mastech Digital
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with DevOps expertise, requiring 5+ years of experience, including strong skills in Apache Spark, Airflow, and data integration. The contract lasts 6+ months, located in "Dallas, TX / Pittsburgh, PA / Cleveland, OH," with a competitive pay rate.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Model Validation #Oracle #Data Quality #Spark (Apache Spark) #GitLab #Linux #Data Architecture #SQL (Structured Query Language) #Data Modeling #Compliance #Elasticsearch #Logging #Docker #Shell Scripting #Kubernetes #Metadata #Batch #"ETL (Extract #Transform #Load)" #Data Integration #Azure #Apache Airflow #S3 (Amazon Simple Storage Service) #Data Pipeline #JSON (JavaScript Object Notation) #Data Engineering #Hadoop #PySpark #Azure DevOps #Monitoring #Data Processing #Big Data #Data Ingestion #Maven #GitHub #Apache Spark #Bash #Python #Automation #Documentation #Airflow #Scripting #Data Lake #Elastic Stack #SQL Server #DevOps #Scala #HDFS (Hadoop Distributed File System) #Jenkins #Spark SQL
Role description
W2 role. No C2C.
Title: Senior Data Engineer with DevOps
Location: Dallas, TX / Pittsburgh, PA : Cleveland, OH
Duration: 6+ months Contract to Hire
Skills:
• Airflow
• Containerization
• DevOps
• Elastic Stack & Elasticsearch
• GitHub
• Hadoop Hive
• Jenkins
• JSON Web Token (JWT)
• Kubernetes
• OpenShift
• Oracle
• Python
• Shell Script
• SQLite
Position Description:
• We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards.
Duties and Responsibilities:
• Design and build scalable data pipelines aligned with business needs
• Process large dataset (batch + sometimes near Realtime)
• Ensure data quality, consistency, and governance standards across systems
• Support data integration and transformation efforts for analytics and reporting platforms
• Maintain data dictionaries, metadata, and documentation
• Participate in data architecture reviews and model validation processes
• Support analytics reporting and risk platforms
Requirements:
• 5+ years of experience in data engineering and big data processing
• Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
• Experience working with structured and semi structured data, including complex transformations and performance tuning
• Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
• Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
• Strong knowledge of SQL and data modeling concepts
• Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
• Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
• Strong understanding of batch processing and batch job scheduling frameworks
• Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
• Fundamentals in Linux and Networking
• Docker, OCP containerization / Kubernetes
• Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
• Automate operational tasks using Python, Bash/Shell, and PowerShell
• Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
• Experience ensuring data quality, reliability, and compliance in regulated environments
• Good communication and documentation skills
Regards,
Yogesh Singh Rana
yogesh.rana@mastechdigital.com
W2 role. No C2C.
Title: Senior Data Engineer with DevOps
Location: Dallas, TX / Pittsburgh, PA : Cleveland, OH
Duration: 6+ months Contract to Hire
Skills:
• Airflow
• Containerization
• DevOps
• Elastic Stack & Elasticsearch
• GitHub
• Hadoop Hive
• Jenkins
• JSON Web Token (JWT)
• Kubernetes
• OpenShift
• Oracle
• Python
• Shell Script
• SQLite
Position Description:
• We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards.
Duties and Responsibilities:
• Design and build scalable data pipelines aligned with business needs
• Process large dataset (batch + sometimes near Realtime)
• Ensure data quality, consistency, and governance standards across systems
• Support data integration and transformation efforts for analytics and reporting platforms
• Maintain data dictionaries, metadata, and documentation
• Participate in data architecture reviews and model validation processes
• Support analytics reporting and risk platforms
Requirements:
• 5+ years of experience in data engineering and big data processing
• Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
• Experience working with structured and semi structured data, including complex transformations and performance tuning
• Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
• Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
• Strong knowledge of SQL and data modeling concepts
• Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
• Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
• Strong understanding of batch processing and batch job scheduling frameworks
• Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
• Fundamentals in Linux and Networking
• Docker, OCP containerization / Kubernetes
• Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
• Automate operational tasks using Python, Bash/Shell, and PowerShell
• Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
• Experience ensuring data quality, reliability, and compliance in regulated environments
• Good communication and documentation skills
Regards,
Yogesh Singh Rana
yogesh.rana@mastechdigital.com
