Data Engineer

GetJobSmart; Columbus (OH); On-site; USD 130,000 - 186,000; Full time

Job summary

Beacon Pacific Group in Columbus, OH is seeking a Data Engineer to design, build, and maintain data pipelines for data-driven decision making.

You will collaborate with data science and analytics teams to implement scalable data solutions, handling large datasets with Spark, Kafka, and Hadoop.

Requirements include a Bachelor's degree in Computer Science or related field, 3–5 years in data engineering, strong SQL and Python skills, and cloud familiarity (AWS/Azure/GCP). Deadline: 2026-11-22.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 3–5 years of data engineering experience.
• Proficiency in SQL and Python.

Responsibilities

• Design, build, and maintain data pipelines.
• Develop data models for analytics and ML.
• Optimize storage and retrieval for performance.
• Collaborate with cross-functional teams.
• Monitor data quality and pipeline reliability.
• Stay updated on new data technologies.

Skills

SQL

Python

Data modeling

Problem solving

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Kafka

Hadoop

Job description

Beacon Pacific Group, a prominent player in the financial services industry, seeks a Data Engineer in Columbus, OH. This full-time role involves designing, building, and maintaining data pipelines to support data-driven decision-making processes.

As a Data Engineer, you will collaborate with data science and analytics teams to develop and implement data solutions. You will work with large datasets and advanced technologies to ensure our data infrastructure is robust, scalable, and efficient.

You will join our team in Columbus, OH, where you will work in a collaborative and innovative environment. The workplace is known for its supportive culture and commitment to professional growth.

The salary range for this role is between $130,000 and $186,400 per year, reflecting the competitive nature of the position and the responsibilities it entails. In addition to the base salary, employees are entitled to comprehensive health insurance coverage, which includes medical, dental, and vision benefits. The company also offers a robust retirement plan, allowing employees to contribute to their future through employer-matched contributions. Furthermore, professional development opportunities are available, such as tuition reimbursement for further education or certifications, and access to workshops and training sessions to enhance skills and knowledge. These benefits are designed to support the overall well-being and career growth of employees.

To be successful in this role, you should have a bachelor's degree in computer science, data engineering, or a related field. Experience with data pipeline tools and technologies such as Apache Spark, Kafka, and Hadoop is required. Proficiency in SQL and Python is essential.

Interested candidates are invited to submit their applications by November 22, 2026.

What You Will Do:

• Design, build, and maintain data pipelines to extract, transform, and load data from various sources.
• Develop and implement data models to support our data analytics and machine learning initiatives.
• Optimize data storage and retrieval processes to improve performance and reduce costs.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Monitor and troubleshoot data pipelines to ensure data quality and integrity.
• Stay up-to-date with emerging technologies and industry trends to drive innovation in our data infrastructure.

What You Bring:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3-5 years of experience in data engineering, with a strong background in SQL and Python.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Knowledge of cloud platforms like AWS, Azure, or GCP is a plus.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and project management skills.