Data engineer Jobs in Chicago, IL

Work Location Type: Hybrid

Req Number 329813

About Grainger

Compensation

The anticipated base pay compensation range for this position is $112,900.00 – $188,100.00. This role is eligible for an incentive target of up to 10 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.

This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

Rewards and Benefits

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger’s benefits, please click on the link below:

Grainger Benefits

The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Position Details

Grainger is seeking a Senior Data Engineer for our Project Management Operations (PMO) Analytics team. The PMO Analytics team's primary mission is to enable analytics and reporting by centralizing and integrating high quality, trusted corporate data in a highly performant and scalable cloud analytical platform. The Senior Data Engineer will be responsible for maintaining existing, as well as designing and developing new high-performance, resilient, data pipelines and products. This role works closely with SMEs, architects, analysts, and others to design and build solutions that integrate data from many of our enterprise data sources.

This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

You will

• Identify and design internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.

• Work with partners including data, design, product and governance teams assisting them with data-related technical issues.

• Solicit, review and translate business requirements into technical requirement documentation, providing guidance and contributing to the solution design ensuring it is practical, efficient and fit for purpose.

• Build required tools for extraction, transformation and loading of data from data sources.

• Design and build product features to enable self-service data maintenance and solicitation from stakeholders.

• Operates autonomously in fast-paced environments, effectively balancing complex, shifting priorities while delivering reliable data solutions.

You have

• Bachelor's Degree or equivalent experience required

• 3+ years hands-on experience with Modern Data Engineering projects and practices

• Technology Experience Required: AWS S3, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, DBT, Airflow, Argo CD, Streamlit, PowerBI (bonus), ServiceNow (bonus)

• Hands-on experience with Modern Data Engineering projects and practices

• Successful track record in developing and automating large-scale, high-performance data engineering systems (batch and streaming).

• Experience with microservices including defining and testing APIs

• Experience architecting, developing, and deploying both offline and online feature stores

• Experience with both scripting and system programming languages (Python and Scala).

• Experience leading data integration efforts of data sources

• Ability to make sound technical decisions, influence design direction, and lead in ambiguous problem spaces

• Experience with advanced analytics and machine learning

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.