Data Engineer

GetJobSmart; Newark (NJ); Presencial; USD 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive health insurance

Retirement plan with employer matching

Opportunities for professional develop

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Big data technologies

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Hadoop

Spark

Descripción del empleo

Meridian Atlantic Partners, a financial services firm in Newark, NJ, seeks a Data Engineer for a FULL_TIME 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.