Senior Data Engineer
Role details
Job location
Tech stack
Job description
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 H1Bvisastatus) 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
-
Identifyand design internal process improvements including re-designing infrastructure for greater scalability,optimizingdata delivery, and automating manual processes.
-
Work with partners including data, design, product and governance teams assistingthem 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.
Requirements
-
Bachelor's Degree or equivalent experiencerequired
-
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
-
Successfultrack recordin 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
Benefits & conditions
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., 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:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
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.
