Data Engineer - Flexible, Insightful Data Pipelines

GetJobSmart; Newark (NJ); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Comprehensive health insurance

Retirement plan with employer matching

Opportunities for professional develop

Job summary

Meridian Atlantic Partners in Newark, NJ seeks a Data Engineer to design, build, and maintain data systems that support investment management and asset management operations. The role focuses on gathering, processing, and interpreting data to generate actionable insights, developing robust data pipelines, and ensuring databases are scalable and high quality.

You will collaborate with finance teams, apply cloud platforms and big data tools, and stay vigilant on security and regulatory compliance

Qualifications

• Bachelor's degree in CS/IT or related field is required.
• 3-5 years of experience in data engineering roles.
• Strong programming skills in Python and SQL with experience in big data tools.
• Experience with cloud platforms (AWS/Azure/GCP) is a plus.

Responsibilities

• Design, build, and maintain efficient, scalable data pipelines.
• Develop data models and algorithms to transform raw data into insights.
• Ensure data quality and integrity through validation and cleansing processes.
• Collaborate with cross-functional teams to meet data needs with technical solutions.
• Optimize database performance and ensure data security and regulatory compliance.
• Keep data systems updated with best practices and new technologies.

Skills

Python

SQL

Big data technologies

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Spark

Job description

Meridian Atlantic Partners in Newark, NJ seeks a Data Engineer to design, build, and maintain data systems that support investment management and asset management operations. The role focuses on gathering, processing, and interpreting data to generate actionable insights, developing robust data pipelines, and ensuring databases are scalable and high quality.

You will collaborate with finance teams, apply cloud platforms and big data tools, and stay vigilant on security and regulatory compliance