Data Engineer — Build Pipelines & Grow with Big Data, Chicago

GetJobSmart; Chicago (IL); On-site; USD 100,000 - 138,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Tuition reimbursement

Conferences & workshops

Job summary

Summit West Solutions in Chicago, IL is seeking a Data Engineer to design, build, and maintain data infrastructure and pipelines. The role offers a full-time position with a competitive salary and benefits, including health insurance and a strong 401(k) plan.

The ideal candidate has a Bachelor's degree in CS or related field, 3+ years of data engineering experience, and proficiency in SQL, Python, and big data technologies.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL, Python, and at least one big data technology (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build, and maintain data pipelines and infrastructure that support our clients' needs.
• Develop and implement data processing algorithms to ensure data quality and accuracy.
• Collaborate with data scientists and analysts to understand their requirements and provide solutions.
• Optimize data processing workflows to improve performance and reduce costs.
• Monitor and maintain data systems, ensuring high availability and reliability.
• Stay up-to-date with the latest data engineering trends and technologies.

Skills

SQL

Python

Big data

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Spark

AWS

GCP

Azure

Job description

Summit West Solutions in Chicago, IL is seeking a Data Engineer to design, build, and maintain data infrastructure and pipelines. The role offers a full-time position with a competitive salary and benefits, including health insurance and a strong 401(k) plan.

The ideal candidate has a Bachelor's degree in CS or related field, 3+ years of data engineering experience, and proficiency in SQL, Python, and big data technologies.