Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- Senior Manager leading a team focused on scalable, reliable data products. Driving engineering excellence at Grainger with innovative technology solutions.
Responsibilities
- Define and champion best practices for data product development by establishing a clear “paved road” approach, supported by comprehensive training and accessible documentation.
- Standardize and streamline existing solutions to reduce duplication, improve consistency, and promote reuse across teams and domains.
- Develop and deliver platform capabilities that empower teams with tools, reusable frameworks, and features aligned with our data platform standards—enabling secure, scalable, and sustainable development.
- Partner cross-functionally with engineering, product, and business stakeholders to support the execution of large-scale, high-impact data initiatives.
- Lead and mentor a high-performing team, fostering a culture of innovation, collaboration, and continuous improvement.
- Partner with product owner(s) to influence data platform roadmap.
- Partner with engineering teams, business teams and MLOps to guide AI/ML requests to recommended solution.
- Lead a team of data engineers that leverages modern engineering practices to build configurable, scalable data pipelines and data platform features.
- Drive execution of engineering roadmap to mature enterprise data products in partnership with platform, architecture, and engineering teams.
- Lead development team in troubleshooting, coding, testing, implementation, and documenting solutions.
Requirements
- Bachelor’s degree in information technology, Computer Science, or related field
- 10+ years’ experience in Software Engineering or Data Engineering
- A strong track record as an Engineering Manager or technical team leader guiding multiple squads or a program.
- Hands-on background building data platform features and data product enablement.
- Excellent communication and stakeholder skills across engineering, product, design, and analytics.
- Deep understanding of SDLC best practices, CI/CD, testing strategies, and system design fundamentals.
- Ability to navigate ambiguity, set clear priorities, and deliver consistently in a large-scale enterprise environment.
- Growth mindset with a coaching orientation; you build inclusive, high-trust teams.
- Experience recruiting, onboarding, and retaining engineering talent in blended teams (FTEs and partners).
Benefits
- 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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.
Data Engineer I building and operationalizing complex data solutions for Travelers' analytics using Databricks. Collaborating within teams to educate end users and support data governance.