Data Engineer

Sterling North LLC; Louisville (KY); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plan (401k)

Tuition reimbursement

Online courses and workshops

Job summary

Sterling North LLC in Louisville, KY is seeking a Data Engineer to design, develop, and maintain data pipelines that transform raw data into actionable insights for our logistics and supply chain operations.

You will collaborate with data scientists and analysts to translate business requirements into scalable technical solutions, optimize storage, and ensure pipeline reliability. A strong background in SQL, Python, and cloud data warehousing is essential.

Qualifications

• 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.
• Proficiency in data warehousing tools (Snowflake, BigQuery, Redshift).
• Experience with cloud platforms such as AWS or GCP.

Responsibilities

• Design, develop, and maintain data pipelines to support logistics and supply chain operations.
• Collaborate with data scientists and analysts to translate business requirements into technical solutions.
• Optimize data storage and retrieval processes to enhance performance and reduce costs.
• Monitor and troubleshoot data pipeline issues to ensure reliability and availability.
• Stay up-to-date with emerging technologies and best practices in data engineering.
• Mentor and guide junior team members to foster continuous learning.

Skills

SQL

Python

Problem-solving

Communication

Teamwork

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

BigQuery

Redshift

AWS

GCP

Job description

Sterling North LLC, a leading logistics and supply chain management company, is seeking a skilled Data Engineer in Louisville, KY. In this role, you will transform data into actionable insights, driving operational efficiency and strategic decision-making. The position is full-time with a salary range of $95,000 to $139,996.

As a Data Engineer, you will design, develop, and maintain data pipelines, ensuring seamless data flow across the organization. You will collaborate with cross-functional teams to understand data requirements and deliver scalable, robust solutions.

You will work in a dynamic team environment at Sterling North LLC's headquarters in Louisville, KY. The role involves working with large datasets, data warehousing, and data integration technologies.

The salary range for this position is $95,000 to $139,996, providing a competitive compensation package.

• Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, to support their well-being.
• The company also offers robust retirement plans, such as a 401(k) with matching contributions, to help employees save for their future.
• Additionally, professional development opportunities are available, including tuition reimbursement for further education and access to online courses and workshops.

These benefits aim to attract and retain top talent, fostering a healthy and motivated workforce.

You should have a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data warehousing tools like SQL Server Integration Services (SSIS) or Azure Data Factory is required. Proficiency in Python or Java is necessary, along with knowledge of cloud platforms such as AWS or Azure.

What You Will Do:

• Design, develop, and maintain data pipelines to support our logistics and supply chain operations.
• Collaborate with data scientists and analysts to translate business requirements into technical solutions.
• Optimize data storage and retrieval processes to enhance performance and reduce costs.
• Monitor and troubleshoot data pipeline issues to ensure reliability and availability.
• Stay up-to-date with emerging technologies and industry best practices in data engineering.
• Mentor and guide junior team members to foster a culture of continuous learning and improvement.

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.
• Proficiency in data warehousing tools such as Snowflake, BigQuery, or Redshift.
• Experience with cloud platforms like AWS or GCP.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.