Search for Senior Infrastructure Operations Data Engineer roles, specifically in remote positions, with a focus on data management and analytics, requiring 3+ years of experience, and a salary of at least $100,000.

Okay, I've searched for Senior Infrastructure Operations Data Engineer roles that are remote, focusing on data management and analytics, with a requirement of at least 3 years of experience, and a salary of $100,000 or more. I have found 57 positions for you.

Senior Infrastructure Operations Data Engineer

Remote

3 years + Experience

$100000+

Data Analytics

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Senior Infrastructure Operations Data Engineer at Grainger is fundamentally about optimizing and managing large-scale data platforms while ensuring alignment with business objectives. The primary responsibilities will include overseeing operational workflows, enhancing data quality, defining service level agreements (SLAs), and implementing best practices to improve process efficiency. This implies a focus on creating a seamless flow of data that supports analytics and business decisions. Candidates can expect to face challenges related to data governance, maintaining system performance amidst rapid technological changes, and fostering cooperation between technical and business teams. Success in this role involves not only technical expertise in data engineering tools and workflows but also the ability to mentor junior staff and adapt to innovations in the data landscape. Overall, the position requires a balance of strategic insight and technical proficiency to drive data operations forward.

Company Analysis:

Grainger operates in the competitive business-to-business distribution landscape, serving a vast array of customers across numerous sectors by offering over 1 million industrial-quality products. As a market leader, Grainger emphasizes a culture of engagement and growth for its team members while maintaining a strong commitment to customer service and innovation. The company appears to value an agile, collaborative, and inclusive work environment, which suggests that the Senior Infrastructure Operations Data Engineer role will require adaptability and a willingness to engage with cross-functional teams. Positioned strategically within the organization, this role not only demands technical acumen but also serves as a critical link in supporting the company’s digital transformation and operational excellence objectives. Given Grainger's focus on providing data-driven solutions, this position is essential for driving the efficiency and scalability of data systems that support ongoing business initiatives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to implement a new technology to solve a data-related challenge. What was the outcome?
Describe a situation where you had to collaborate with cross-functional teams. How did you ensure effective communication and cooperation?
Recall an experience where a data platform you were working on had performance issues. What steps did you take to address the problem?
How would you approach optimizing a data pipeline that is underperforming? What metrics would you consider?
Can you explain how you have used CI/CD practices in your past roles? What tools did you utilize?
Describe your experience with batch and streaming ETL. What challenges have you faced and how did you solve them?
Imagine you are tasked with defining SLAs for data platform operations. What key factors would you include and why?
You're overseeing a project that requires integrating new tools into existing data workflows. How do you consider potential impacts on performance and quality?
Why are you interested in working at Grainger specifically, and how do you see your skills aligning with our mission?
What aspects of Grainger’s company culture resonate with you, and how would you contribute to that culture?
What do you think are the most important trends in data engineering today, and how would you apply this knowledge at Grainger?
If offered the position, what immediate contributions would you look to implement in your first few months?
What questions do you have about the team you will be working with in this role?
How do you stay updated on new technologies in your field, and can you share an example of how one of these technologies has benefited your work as a Data Engineer?

Job Details

Overview Company

Senior Infrastructure Operations Data Engineer

$93.8k/y-$156.4k/y

Grainger

13 days ago

Highlight

RemoteFull-time3+ yearsSenior

Summary

Grainger is seeking a Senior Infrastructure Operations Data Engineer to join their team in Lake Forest, IL. The role involves overseeing and optimizing data platform operations to align with business goals.

About the Role

As a Senior Infrastructure Operations Data Engineer, you will manage large-scale data platforms, build data observability and monitoring tools, and ensure seamless platform performance. You will define SLA agreements, drive process efficiency, and integrate best practices for scalable and robust data systems. The role includes optimizing platform performance, improving data quality, and fostering collaboration between data engineering, analytics, and business teams.

About You

Required:

Implemented robust and resilient CI/CD with automated testing in Jenkins, Github Actions, or Gitlab CI/CD (3+ years of experience).
Managed the optimization and necessary actions to monitor and observe databases, data lakes, and pipelines.
3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows or Apache Airflow.
Created tooling and processes to automate cost and utilization reporting.
Experience in batch and streaming ETL using Spark, Python, Terraform, Snowflake or Databricks (3+ years experience).

Preferred:

Proficiency with containerization and orchestration technologies (Docker, Kubernetes).
Experience with shell scripting in Bash, Unix or Windows shell.
Familiarity with AWS Services not limited to Glue, Athena, Lambda, S3, and DynamoDB.
Demonstrated experience implementing and optimizing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking and matching.
Proficiency in Power BI report development and administration is highly desirable.

Benefits

Medical, dental, vision, and life insurance plans with coverage starting on day one.
6 free sessions each year with a licensed therapist to support emotional wellbeing.
18 paid time off (PTO) days annually for full-time employees 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.

Grainger

As a leading business-to-business organization, more than 4.5 million customers worldwide rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.

For our Team Members, Grainger provides value for customers, fostering an engaging culture and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe.

For our customers we offer more than a million industrial-quality products, a consultative sales approach, technical and product expertise, a premium digital experience and the ability to get the right products to youright when you need them.

Count on us for supplies and solutions for every industry.

Visit Grainger.com® to learn more.

Lake Forest, IL