Data Engineer

Meridian National LLC; Miami (FL); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Meridian National LLC in Miami, FL is seeking a Data Engineer for a full-time role. Salary is negotiable and the position remains open until 2026-11-23.

You will design, build, and maintain data pipelines, ensuring data integrity and availability in a dynamic financial services environment. Join a collaborative team in a vibrant Miami workplace, focusing on data modeling, ETL, and cloud-based architectures using AWS and GCP.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with data modeling and ETL processes.
• Proficiency in Python, Java, or Scala.
• Experience with cloud platforms like AWS or GCP.
• Knowledge of SQL and big data technologies (Hadoop, Spark, Kafka).

Responsibilities

• Design, build, and maintain scalable data infrastructure.
• Develop and implement data pipelines to ensure seamless data flow.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize and enhance data processing workflows for efficiency.
• Monitor data quality and ensure reliability.
• Stay up-to-date with emerging technologies to drive innovation.

Skills

SQL

Python

Java

Scala

Cloud platforms

Hadoop

Spark

Kafka

AWS

GCP

Data modeling

ETL processes

Education

Bachelor's degree in Computer Science or Engineering

Job description

Meridian National LLC, a leading financial services company based in Miami, FL, is seeking a Data Engineer for a FULL_TIME position. The salary is negotiable and the job is valid until November 23, 2026.

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, ensuring data integrity and availability. You will also work on data modeling, database management, and performance optimization.

You will be part of a passionate, collaborative team in a vibrant, innovative workplace in Miami, FL. Our team is committed to making a difference in the financial industry.

The salary is negotiable and includes a comprehensive benefits package, which typically encompasses health insurance, retirement plans, and professional development opportunities.

• Health insurance may cover medical, dental, and vision care, providing employees with access to necessary healthcare services.
• Retirement plans often include options like 401(k) contributions, helping employees save for their future.
• Professional development opportunities may include training programs, workshops, and access to online learning resources, allowing employees to enhance their skills and advance their careers.

You should have a Bachelor's degree in Computer Science, Engineering, or a related field. Experience with data engineering tools and technologies is required. Knowledge of SQL, Python, and cloud platforms is essential.

What you will do:

• Design, build, and maintain scalable data infrastructure to support our financial services.
• Develop and implement data pipelines to ensure seamless data flow and integration.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize and enhance data processing workflows to improve efficiency and performance.
• Monitor data quality and implement measures to ensure accuracy and reliability.
• Stay up-to-date with emerging technologies and industry trends to drive innovation.

What we need:

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Proven experience as a Data Engineer, with a strong background in data modeling and ETL processes.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud platforms like AWS or GCP.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Strong problem-solving skills and a keen attention to detail.