
Data Engineer
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Kelly Services is hiring a Data Engineer. Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. This contract role offers a hybrid schedule of 2‑3 days onsite per week and the possibility of extension or conversion, allowing you to work alongside industry experts in a leading financial services organization.
Key focus areas include 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, and Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data.
Successful candidates bring Bachelor's Degree In Computer Science, Bachelor's Degree In Information Systems, and Bachelor's Degree In Engineering. Important skills include ETL Tools, Data Pipeline Frameworks, Big Data Technologies, Quality Engineering Fundamentals, Testing Frameworks, and Automation. Preferred (not required): SQL, Data Quality, Risk Experience, and Wealth Experience.
Skills & qualifications
Skills
Qualifications
Full job description
$66 - $72
Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
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Bachelor’s degree in Computer Science, Information Systems, Engineering
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5–8 years of experience in data engineering, SQL development, data analysis, or related field.
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Strong proficiency in SQL and experience with relational databases and data warehousing concepts.
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Experience with ETL tools, data pipeline frameworks, and big data technologies.
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Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation
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Strong problem-solving, analytical, and troubleshooting skills.
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Excellent communication and stakeholder management abilities.
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Experience working in complex, cross-functional environments.
Desired Skills & Experience
- Strongly prefer Risk and Wealth experience
What You Will Be Doing
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Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases
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Develop and optimize complex SQL queries for data extraction, transformation, and validation
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Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data
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Partner with business and technology teams to translate requirements into technical data solutions
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Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes
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Drive data governance and standardization efforts across systems and platforms
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Support system integration and data flow across multiple applications and environments
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Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment
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Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality
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Communicate risks, dependencies, and impacts of data solutions to stakeholders
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Ensure compliance with data governance policies, regulatory requirements, and best practices
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
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