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Data EngineerArtech • United States
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Data Engineer

Artech
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Job ID: 92199-1 Job Title: Data Engineer Location: Jersey City, NJ only Duration:
6+ months Rate Range: $45.00 - $48/hour on W2/ C2C (All inclusive)
Job Description: We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines and data integration solutions. The ideal candidate will have strong expertise in SQL, Python, PySpark/Snowpark, Snowflake, AWS, and modern data orchestration frameworks. This role requires hands-on development, performance tuning, data modeling, and collaboration across multiple teams to support enterprise data initiatives.
Key Responsibilities • Analyze, design, develop, and deploy data pipelines across various environments. • Develop and optimize complex SQL queries for large-scale datasets. • Convert and modernize SQL-based logic into PySpark/Snowpark implementations. • Build scalable data processing solutions with a focus on performance and reliability. • Extract, transform, and load data from multiple sources while ensuring data quality and efficiency. • Design and implement data integration and orchestration workflows. • Collaborate with cross-functional teams to deliver end-to-end data solutions. • Understand existing Java and SQL-based applications and enhance functionality as required. • Implement and support Change Data Capture (CDC) processes. • Participate in troubleshooting, root cause analysis, and production support activities. • Contribute to API integration and data service development initiatives.
Required Skills • Strong SQL development experience with complex query optimization. • Hands-on experience with Python, PySpark, and Snowpark. • Experience with data science libraries such as Pandas and NumPy. • Strong understanding of data pipeline architecture and ETL/ELT processes. • Hands-on experience with Snowflake. • Experience with DBT (Data Build Tool). • Experience with AWS services including S3 and EC2. • Hands-on experience with Linux commands and shell scripting. • Experience with workflow orchestration tools and scheduling platforms such as Autosys. • Knowledge of CDC (Change Data Capture) concepts and implementation. • Strong analytical and problem-solving skills. • Experience working as an individual contributor in an agile environment.
Preferred Skills • Talend development experience. • Hands-on Java development experience. • Exposure to Angular. • Understanding of REST APIs and API design principles. • Experience with enterprise-scale data platforms and cloud-native architectures.
Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • 6+ years of experience in Data Engineering, Big Data, or Data Platform development. • Experience working with large-scale enterprise data environments.
Company Benefits & Culture Competitive salary and benefits package Supportive and collaborative work environment For immediate consideration please click APPLY to begin the screening process with Alex. Opportunities for professional growth and development
  • United States

Compétences linguistiques

  • English
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