Data Engineer

Bridgeway North LLC; Memphis (TN); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer contribu

Professional development opportunities

Job summary

Bridgeway North LLC is seeking a Data Engineer in Memphis, TN to design, implement, and maintain data pipelines, ensuring secure and efficient data flow across the organization. You will work with data science and analytics teams to meet data needs and optimize storage and performance.

The role requires 5+ years in data engineering, proficiency in SQL and Python, and experience with cloud platforms like AWS or Azure. The team emphasizes collaboration and innovation in a dynamic environment.

Qualifications

• Bachelor's degree in Computer Science, IT or related field or equivalent experience.
• 5+ years of experience in data engineering with SQL, Python and big data tech.
• Experience with cloud platforms such as AWS or Azure is required or preferred.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes for data flow.
• Collaborate with data science and analytics teams to meet data needs.
• Optimize database performance and storage with indexing and query tuning.
• Develop data models including dimensional and fact tables for BI and analytics.
• Monitor data quality and troubleshoot data-related issues.

Skills

SQL

Python

Big data

ETL

Data modeling

Data warehousing

Education

Bachelor's degree in Computer Science / IT or related field

Tools

Apache Airflow

AWS

Azure

S3

Redshift

Lambda

Job description

Bridgeway North LLC, a leading logistics and supply chain management company, is seeking a skilled Data Engineer in Memphis, TN. This full‑time role involves designing, implementing, and maintaining data pipelines to ensure efficient and secure data flow across the organization.

As a Data Engineer, you will be responsible for extracting, transforming, and loading data from various sources, creating data models, and optimizing data storage and retrieval. You will also monitor data quality and performance, and troubleshoot any issues that arise.

You will work closely with the data science and analytics teams, as well as other departments, to understand their data needs and provide solutions. The workplace is in Memphis, TN, and you will be part of a collaborative and innovative team.

The salary for this position is negotiable, based on the candidate's experience, qualifications, and the specific requirements of the role. Benefits include comprehensive health insurance coverage, a retirement plan with employer contributions, and opportunities for professional development, such as workshops, training programs, and access to industry conferences. The exact compensation and benefits will be discussed in detail during the hiring process, allowing the candidate to understand the full scope of the package and make an informed decision.

To be successful in this role, you should have a bachelor's degree in computer science, data engineering, or a related field. You should have experience with data pipeline tools such as Apache Airflow, Python, and SQL. Familiarity with cloud platforms like AWS or Azure is a plus.

Bridgeway North is committed to fostering a dynamic and inclusive work environment where employees can thrive and grow professionally.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes to facilitate the efficient flow of data across the organization.
• Collaborate with cross-functional teams to identify and address data quality issues, ensuring the accuracy and reliability of our data assets.
• Optimize database performance and storage, implementing indexing strategies and query optimization techniques to improve system efficiency.
• Develop and maintain data models, including dimensional and fact tables, to support business intelligence and analytics initiatives.
• Monitor and troubleshoot data-related issues, ensuring the timely resolution of any problems that may arise.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• 5+ years of experience in data engineering, with a strong background in SQL, Python, and big data technologies.
• Hands-on experience with cloud platforms such as AWS or Azure, including services like S3, Redshift, and Lambda.
• Proficiency in data modeling techniques and experience with dimensional modeling and data warehousing concepts.
• Strong problem-solving skills and the ability to work independently and as part of a team in a fast-paced environment.