Data Engineer

Beacon Ridge LLC; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Beacon Ridge LLC in Columbus, OH is hiring a Data Engineer to design, build, and maintain our data infrastructure. You will design and implement data pipelines, optimize storage and retrieval, and ensure data quality while collaborating with the data team on models and schemas.

The role requires a strong background in data engineering, SQL, and Python, with familiarity in cloud platforms and big data technologies. The office environment is collaborative and results-driven.

Qualifications

• Bachelor's degree in a relevant field is required.
• Strong experience designing and implementing data pipelines.
• Knowledge of data quality and data governance practices.

Responsibilities

• Design, build and maintain our data infrastructure.
• Develop and optimize data pipelines, storage, and retrieval.
• Collaborate with the data team to develop data models and schemas.
• Ensure data quality and integrity across systems.
• Communicate effectively with stakeholders and manage project timelines.

Skills

Data engineering

SQL

Python

Data pipelines

Data warehousing

Cloud platforms

Big data

Data modeling

Communication

Education

Bachelor's degree in a relevant field

Job description

Beacon Ridge LLC, a data-driven company, is seeking a Data Engineer in Columbus, OH. This full-time position involves designing, building, and maintaining our data infrastructure.

Your day-to-day tasks will include designing and implementing data pipelines, optimizing data storage and retrieval, and ensuring data quality and integrity. You'll collaborate with the data team to develop and maintain data models and schemas.

You'll join a dedicated team in Columbus, OH, contributing to a collaborative and innovative work environment. Our team focuses on using data to drive business decisions and improve operational efficiency.

The pay for this position is discussed at interview, with benefits details not specified. The role involves managing a team of professionals, overseeing project timelines, and ensuring high-quality deliverables. Employees will use industry-standard software and tools, such as project management platforms and communication software, to streamline workflows and enhance productivity. The workplace is a modern, open-concept office with comfortable seating and collaborative spaces. The position requires a bachelor's degree in a relevant field, typically 3-5 years of experience in project management, and strong communication skills. Candidates should be detail-oriented, organized, and able to work well under pressure. The ideal candidate will have a proactive approach, a strong work ethic, and the ability to adapt to changing priorities.

To succeed, you should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in SQL, Python, and data warehousing concepts is required. Familiarity with cloud platforms and big data technologies is a plus.

The HR department is located on the second floor of our main office, which is open from 9:00 AM to 5:00 PM, Monday through Friday.

The office is equipped with modern computers and software for document processing, and candidates should be comfortable using these tools.

The position requires basic computer skills, including proficiency in word processing and email communication.

Candidates should also be prepared to discuss their work experience and skills during the interview process.

The office environment is professional and collaborative, with a focus on teamwork and continuous learning.

Candidates should be able to work well in a team and adapt to a active workplace.

Candidates are encouraged to inquire about specific details during the interview.

• Design and implement data pipelines, optimize data storage and retrieval processes, ensure data quality and integrity, develop and maintain data models and schemasStrong background in data engineering, experience in designing and implementing data pipelines, proficiency in SQL, Python, good understanding of data warehousing concepts

• The pay for this position is discussed at interview, with benefits details not specified.
• The position offers a attractive compensation and benefits package.