VForce Infotech
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position lasting over 6 months, offering a pay rate of $60,000 - $80,000 annually. Key skills include ETL processes, big data technologies (Hadoop, Spark), and cloud services (AWS, Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
363
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🗓️ - Date
October 15, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Edison, NJ 08837
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🧠 - Skills detailed
#Database Design #Data Lake #Scala #Databases #SQL Server #Microsoft SQL Server #Data Science #Bash #Hadoop #Data Framework #Data Quality #Programming #Talend #Datasets #MS SQL (Microsoft SQL Server) #SQL (Structured Query Language) #Monitoring #Data Access #Data Analysis #Oracle #Data Engineering #Shell Scripting #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Informatica #Apache Hive #Storage #VBA (Visual Basic for Applications) #Big Data #AWS (Amazon Web Services) #Scripting #Data Pipeline #Agile #Cloud #Looker #Data Storage #Java #Azure #Data Warehouse #Python #Database Management #Microsoft SQL #Project Management #Data Integration #BI (Business Intelligence)
Role description
Job SummaryWe are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and integrity of data across various platforms.
Duties
Design and implement robust data pipelines using ETL processes to facilitate data integration from multiple sources.
Develop and maintain data models, ensuring optimal database design for performance and scalability.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Utilize big data technologies such as Hadoop, Spark, and Apache Hive to process large datasets efficiently.
Implement data storage solutions using AWS, Azure Data Lake, or similar cloud platforms.
Perform data analysis and model training to support business intelligence initiatives.
Create and manage RESTful APIs for seamless data access across applications.
Ensure data quality by implementing validation checks and monitoring systems.
Stay updated on industry trends and emerging technologies related to data engineering.
Skills
Proficiency in programming languages such as Java, Python, and SQL for database management and scripting tasks.
Experience with big data frameworks like Hadoop, Spark, and tools like Informatica or Talend for ETL processes.
Familiarity with cloud services including AWS or Azure Data Lake for scalable storage solutions.
Strong knowledge of Microsoft SQL Server, Oracle databases, and data warehouse concepts.
Understanding of analytics tools such as Looker for visualizing complex datasets.
Ability to work in Agile environments with experience in collaborative project management methodologies.
Excellent analytical skills with a focus on problem-solving and critical thinking.
Knowledge of linked data principles, shell scripting (Bash), VBA, and database design best practices is a plus. Join us in leveraging the power of data to drive innovation and enhance business outcomes!
Job Types: Full-time, Contract
Pay: $60,000.00 - $80,000.00 per year
Benefits:
Dental insurance
Health insurance
Work Location: In person
Job SummaryWe are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and integrity of data across various platforms.
Duties
Design and implement robust data pipelines using ETL processes to facilitate data integration from multiple sources.
Develop and maintain data models, ensuring optimal database design for performance and scalability.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Utilize big data technologies such as Hadoop, Spark, and Apache Hive to process large datasets efficiently.
Implement data storage solutions using AWS, Azure Data Lake, or similar cloud platforms.
Perform data analysis and model training to support business intelligence initiatives.
Create and manage RESTful APIs for seamless data access across applications.
Ensure data quality by implementing validation checks and monitoring systems.
Stay updated on industry trends and emerging technologies related to data engineering.
Skills
Proficiency in programming languages such as Java, Python, and SQL for database management and scripting tasks.
Experience with big data frameworks like Hadoop, Spark, and tools like Informatica or Talend for ETL processes.
Familiarity with cloud services including AWS or Azure Data Lake for scalable storage solutions.
Strong knowledge of Microsoft SQL Server, Oracle databases, and data warehouse concepts.
Understanding of analytics tools such as Looker for visualizing complex datasets.
Ability to work in Agile environments with experience in collaborative project management methodologies.
Excellent analytical skills with a focus on problem-solving and critical thinking.
Knowledge of linked data principles, shell scripting (Bash), VBA, and database design best practices is a plus. Join us in leveraging the power of data to drive innovation and enhance business outcomes!
Job Types: Full-time, Contract
Pay: $60,000.00 - $80,000.00 per year
Benefits:
Dental insurance
Health insurance
Work Location: In person
