Data Engineer

Linden Atlantic Inc.; Memphis (TN); On-site; USD 120,000 - 174,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Job summary

Linden Atlantic Inc. seeks a Data Engineer in Memphis, TN for a full-time role. You will design, build, and maintain data pipelines and infrastructure to transform raw data into actionable insights for informed decision-making and operational excellence.

You will collaborate with a dedicated Memphis team, contributing to a dynamic environment with opportunities for professional growth. The role emphasizes mentorship and continuous learning as skills evolve.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Experience with data warehousing tools like SQL Server, Oracle, or Snowflake.
• Proficiency in SQL, Python, and at least one big data technology (Hadoop/Spark).
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure to support logistics operations.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize data storage and processing for performance and cost-efficiency.
• Implement data quality checks and validation processes to maintain data integrity.
• Monitor and troubleshoot data systems to ensure high availability and reliability.
• Stay updated with emerging technologies to drive innovation.
• Mentor junior team members to foster learning and improvement.

Skills

SQL

Python

Java

Snowflake

SQL Server

Oracle

Hadoop/Spark

Data modeling

ETL

Cloud platforms

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

SQL Server

Oracle

Snowflake

ETL tooling

Job description

Linden Atlantic Inc., a key player in logistics and supply chain management, seeks a Data Engineer in Memphis, TN, for a full-time position. The salary range is $120,000 to $173,987.

As a Data Engineer, you will design, implement, and maintain data infrastructure. Your tasks include transforming raw data into actionable insights to support informed decision-making and operational excellence.

You will collaborate with a dedicated team in Memphis, Tennessee, contributing to a dynamic and supportive work environment. This role provides ample opportunities for professional growth, allowing you to develop new skills and take on challenging projects. Your contributions will be recognized and valued, fostering a culture of appreciation and achievement. The team's collective expertise and shared goals create a stimulating atmosphere where innovation and excellence are encouraged. You will have the chance to learn from and work alongside experienced professionals, gaining valuable insights and mentorship. The role's emphasis on professional development ensures that you will be well-prepared to take on future challenges and responsibilities.

The salary range for this position is $120,000 to $173,987, providing a competitive compensation package.

Benefits

• Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, ensuring their well-being and that of their families.
• Retirement plans are also offered, with options such as a 401(k) or pension scheme, allowing individuals to save and plan for their future.
• Additionally, professional development opportunities are available, including tuition reimbursement, workshops, and access to online learning platforms, enabling employees to enhance their skills and advance their careers.

You must have a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data warehousing tools like SQL Server, Oracle, or Snowflake is required. Proficiency in programming languages such as Python or Java is essential.

Duties

• Design, develop, and maintain scalable data pipelines and infrastructure to support our logistics operations.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize data storage and processing to ensure efficient performance and cost-effectiveness.
• Implement data quality checks and validation processes to maintain data integrity.
• Monitor and troubleshoot data systems to ensure high availability and reliability.
• Stay up-to-date with emerging technologies and industry trends to drive innovation.
• Mentor and guide junior team members to foster a culture of continuous learning and improvement.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer or similar role, with a strong background in data modeling and ETL processes.
• Proficiency in SQL, Python, and at least one big data technology (e.g., Hadoop, Spark, or similar).
• Experience with cloud platforms (e.g., 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 stakeholder management skills.
• Ability to work in a fast-paced, deadline-driven environment.