Data Engineer

Meridian Atlantic Partners, a financial services firm in Newark, NJ, seeks a Data Engineer for a  position. The role involves designing, building, and maintaining data systems to support investment management and asset management operations.

The Data Engineer will be responsible for gathering, processing, and interpreting data to generate valuable insights that drive business decisions. This role involves the development and maintenance of data pipelines, which are essential for efficiently moving and transforming data between various systems. Additionally, the Data Engineer will manage databases, ensuring they are optimized for performance and scalability. Data quality and integrity are paramount, requiring the implementation of robust validation and cleansing processes to maintain the accuracy and reliability of the data.

The Data Engineer will also collaborate with other teams to understand their data needs and provide solutions that meet those requirements. Continuous monitoring and improvement of data processes are key to ensuring the Data Engineer's work delivers maximum value to the organization.

The Data Engineer will work with a team of financial professionals in a modern office environment in Newark, NJ. The role offers flexibility and the opportunity to work on diverse projects.

The salary is negotiable, reflecting the candidate's experience and the specific responsibilities of the role.

• comprehensive health insurance
• retirement plan with employer matching contributions
• opportunities for professional development, such as workshops, training programs, and access to industry conferences

• Design, build, and maintain efficient, scalable, and reliable data pipelines to collect, store, and process data from various sources.
• Develop and implement data models and algorithms to transform raw data into meaningful insights.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize database performance and ensure data security and compliance with relevant regulations.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience in data engineering roles.
• Strong programming skills in Python, SQL, and at least one big data technology (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Knowledge of data warehousing concepts and experience with ETL/ELT processes.
• Excellent problem-solving skills and attention to detail.