← WorkMundi · 1M+ jobs from around the world, liveSign inCreate free account

Senior Data Engineer

Grainger

📅 04/08/2026
🔔 Alert me about jobs like this
No password, no sign-up. Just the email — and you can leave the list anytime.
🔓 Apply — free →
Opens this job on WorkMundi. The account is free and takes under a minute.

View and apply on WorkMundi →

🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Work Location Type: [[Cust_Worklocation]] Req Number [[id]] About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit www.grainger.com. Compensation The anticipated base pay compensation range for this position is [[cust_payrangemin]] – [[cust_payrangemax]]. This role is eligible for an incentive target of up to [[cust_stippercent]] %, 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. 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: 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. Position Details: As a Senior Data Engineer at Grainger, you will play a pivotal role in designing, building, and optimizing robust data pipelines and backend systems that power our analytics, machine learning models, and customer-facing applications. This role sits at the intersection of data engineering, data platform, and software development, with a strong focus on automation, cloud-native architecture, and seamless data integration—while also working closely with enterprise systems such as SAP S/4HANA to support end-to-end business solutions. You are a curious problem-solver who enjoys collaborating across functions—engineering, data science, and product—to build scalable solutions that deliver reliable and actionable insights. You take pride in clean code, scalable systems, and the thoughtful solutioning, development, and testing of high-quality data products that seamlessly integrate into the enterprise ecosystem. 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: Design, build, and maintain scalable, cloud-native data pipelines and ETL workflows using tools such as Apache Spark, AWS Glue, and Snowflake. Solution, develop, and rigorously test data products that support analytics, operational reporting, and real-time decision-making. Develop and deploy high-quality backend applications using Python, SQL, and Scala or other languages commonly used in data engineering environments. Build and maintain data platforms and structures such as data lakes, data warehouses, and APIs to support both real-time and batch use cases. Partner with cross-functional teams (data scientists, software engineers, product, operations, and design) to deliver data-driven business solutions. Build, optimize, and support CI/CD pipelines, infrastructure as code (IaC), and deployment automation using Docker, Kubernetes, GitHub Actions, or similar tools. Develop clean, maintainable, and well-documented code, following best practices in testing (TDD), version control, and observability. Ensure data quality and integrity through automated validation frameworks and modern monitoring practices. Knowledge of SAP systems, S4 hana integration and reporting Mentor junior engineers and interns, particularly in areas such as data platform architecture, data product development, and engineering best practices. You have: Bachelor’s degree in Computer Science, Software/Data Engineering, or related discipline—or equivalent practical experience. 7+ years of experience designing, building, and supporting large-scale, production-grade software or data engineering systems. Proven track record of solutioning and delivering end-to-end data products—from design and development through testing and deployment. Hands-on experience with cloud platforms like AWS, GCP, or Azure, especially for data storage, processing, and orchestration. Proficiency with tools such as Snowflake, Databricks, PostgreSQL, and event-streaming platforms like Kafka. Strong knowledge of containerization (Docker, Kubernetes/OpenShift) and DevOps principles. Experience building RESTful APIs, event-driven pipelines, and integrating third-party systems and services. Experience with SAP data extraction and data model, specifically with SAP S4 and Hana, integrating through SAP Datasphere or similar sources. Experience with infrastructure as code tools like Terraform or CloudFormation, and automation of CI/CD pipelines. Deep understanding of distributed systems, data governance, and scalable architecture patterns. Excellent communication skills, strong documentation practices, and a collaborative mindset with a passion for mentoring others. actices, and a collaborative mindset with a passion for mentoring others. 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.
Read the rest of the job →
For people searching Engineer

144,883 engineer jobs are open right now

Here's how to pick the right one and stand out in your application.

144.883Jobs
31.687IN
81%EN

That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.

Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.

Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.

When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.

👁 21 have read this
0 comments
Want to comment?

Leave your e-mail to comment, react and follow the posts for your role. It is free.

Similar jobs

Keep looking

Job on WorkMundi — the world's largest job board. See more jobs from every continent, updated live.

📢
🎁

Before you apply, rehearse this interview.

Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card.

I want my training →