

Artech L.L.C.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a 12+ month contract in Rutherford, NJ (Hybrid). Requires 5-8 years of experience in data engineering, strong SQL skills, ETL tools, and knowledge of Quality Engineering fundamentals.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
June 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Rutherford, NJ
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🧠 - Skills detailed
#SQL Queries #Compliance #Data Pipeline #Big Data #Deployment #Data Extraction #Scala #Databases #SQL (Structured Query Language) #Data Governance #Data Analysis #Data Engineering #Data Quality #Automation #"ETL (Extract #Transform #Load)"
Role description
Job Title: Sr Data Engineer
Duration: 12+ Months (to be converted into FTE)
Location: Rutherford, NJ (Hybrid)
Job details:
The Senior Data Engineer Analyst is a seasoned technical professional responsible for building, optimizing, and maintaining scalable data pipelines and ensuring data quality across platforms. This role applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability.
Responsibilities
Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases
Develop and optimize complex SQL queries for data extraction, transformation, and validation
Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data
Partner with business and technology teams to translate requirements into technical data solutions
Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes
Drive data governance and standardization efforts across systems and platforms
Support system integration and data flow across multiple applications and environments
Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment
Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality
Communicate risks, dependencies, and impacts of data solutions to stakeholders
Ensure compliance with data governance policies, regulatory requirements, and best practices
Qualifications:
5–8 years of experience in data engineering, SQL development, data analysis, or related field
Strong proficiency in SQL and experience with relational databases and data warehousing concepts
Experience with ETL tools, data pipeline frameworks, and big data technologies (preferred)
Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation
Strong problem-solving, analytical, and troubleshooting skills
Excellent communication and stakeholder management abilities
Experience working in complex, cross-functional environments
Job Title: Sr Data Engineer
Duration: 12+ Months (to be converted into FTE)
Location: Rutherford, NJ (Hybrid)
Job details:
The Senior Data Engineer Analyst is a seasoned technical professional responsible for building, optimizing, and maintaining scalable data pipelines and ensuring data quality across platforms. This role applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability.
Responsibilities
Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases
Develop and optimize complex SQL queries for data extraction, transformation, and validation
Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data
Partner with business and technology teams to translate requirements into technical data solutions
Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes
Drive data governance and standardization efforts across systems and platforms
Support system integration and data flow across multiple applications and environments
Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment
Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality
Communicate risks, dependencies, and impacts of data solutions to stakeholders
Ensure compliance with data governance policies, regulatory requirements, and best practices
Qualifications:
5–8 years of experience in data engineering, SQL development, data analysis, or related field
Strong proficiency in SQL and experience with relational databases and data warehousing concepts
Experience with ETL tools, data pipeline frameworks, and big data technologies (preferred)
Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation
Strong problem-solving, analytical, and troubleshooting skills
Excellent communication and stakeholder management abilities
Experience working in complex, cross-functional environments






