Summary
✨ AI‑Generated
A senior data engineering role focused on advancing enterprise data capabilities and automation. You will design, build, and optimize scalable data platforms and intelligent workflows that support operational excellence, innovation, and technology modernization across a large industrial organization.
Highlights
Senior opportunity to lead enterprise data and automation initiatives, build scalable platforms and self-orchestrating workflows, and contribute to technology modernization in a large industrial environment.
Description
The Talent Mine has been retained by a Fortune 500 enterprise leader to identify an exceptional Senior Data Engineer.
In this role, you will lead critical advancements in enterprise data and automation by designing, building, and optimizing scalable data platforms and self-orchestrating data workflows.
ABOUT THE CLIENT AND THE OPPORTUNITY
Our client is a Fortune 500 industrial powerhouse and North America's largest manufacturer and recycler of essential structural products.
Renowned for industry-leading sustainability initiatives—including science-based targets to achieve net-zero emissions by 2050—they build the foundational materials and technology systems powering critical infrastructure across automotive, data centers, renewable energy, and advanced manufacturing.
Their core mission centers on operational excellence, workplace safety, environmental stewardship, and continuous technological innovation.
As a Senior Data Engineer within their Business Technology organization, your work directly supports this mission by building robust, high-performance Data Lakehouse platforms and agentic automation workflows.
By enabling trusted real-time data products and automated pipeline orchestration, you will empower data-driven decision-making and scale technology innovations across the enterprise.
JOB DETAILS
Job Title: Senior Data EngineerPrimary Location: Charlotte, NCAdditional Available Location: TexasWork Style: Collaborative enterprise environment focused on technology leadership and innovation
COMPENSATION AND FINANCIAL REWARDS
Base Salary Range: $130,000 – $160,000 per yearTarget Total Compensation: $166,400 – $211,200 per yearAnnual Bonus: Consistent 28% to 32% annual bonus payout over the past 5 years
KEY RESPONSIBILITIES
Ensure industry best practices in data engineering, data governance, and automation are implemented and continuously improved to meet technical and business objectives.Design, build, and maintain secure, scalable, and reliable data pipelines and data products using modern lakehouse architectures (Databricks).Lead the design and implementation of a scalable Data Lakehouse architecture leveraging Databricks, Delta Lake, and cloud-native technologies.Lead the development and implementation of agentic data workflows, enabling intelligent automation, orchestration, and self-healing data pipelines.Develop reusable data frameworks and accelerators to improve engineering velocity.Drive the integration of AI-assisted development and automation tools.Collaborate on Master Data Management (MDM) and Reference Data strategies.Ensure observability, monitoring, and automated alerting are in place for data pipelines.Work closely with business and technical teams to gather requirements and translate them into scalable data and automation solutions.Provide technical leadership and mentorship to the data engineering team.
MINIMUM REQUIREMENTS
6+ years of experience designing and building modern data platforms and pipelines.Hands-on experience with Databricks, Delta Lake, and Apache Spark.Strong programming experience with SQL and Python.Experience implementing ETL/ELT solutions in Azure cloud environments.Experience with AI/ML-driven workflows and familiarity with agentic automation concepts.Experience designing Data Warehouses, Data Lakes, or Data Lakehouse architectures.Experience with workflow orchestration tools.Experience with CI/CD pipelines (Azure DevOps preferred).Experience working within Agile delivery frameworks.
PREFERRED QUALIFICATIONS
Bachelor's degree in Computer Science, IT, or a related discipline (or an equivalent combination of education and practical experience).Exposure to data governance and Master Data Management (MDM) practices.Experience with metadata-driven integration and data pipeline architecture.Strong preference for cross-functional collaboration and understanding of broader business context.
DETAILED SELECTION CRITERIA
Teamwork: Ability to work as part of a coordinated effort with others to achieve common business and technical goals.Attention to Detail: Thoroughness in accomplishing tasks, regardless of size, ensuring all expectations and standards are met.Builds Customer Relationships: Ability to deliver clear and impactful messages, build trust, manage stakeholder priorities, and positively influence outcomes.Communication Skills: Strong ability to give full attention to others, actively listen, and articulate technical information clearly so all team members understand.Initiative: Proactive approach to identifying work that needs to be done, with a strong willingness to take on new responsibilities and challenges.Innovative Mindset: Proven track record of introducing new ideas and methods for continuous improvement across the data organization.Leadership Presence and Courage: Willingness and confidence to engage in direct conversations on critical alignment issues, support organizational change, and address technical or process challenges head-on.Organizing, Planning, and Prioritizing Work: Skill in developing clear goals and detailed plans to prioritize, organize, and accomplish individual and team objectives.
BENEFITS AND PERKS
Retirement Savings and 401(k): 401(k) and Roth options with a discretionary company match up to 7% (historically ranging from 5% to 25%) with 100% immediate vesting after 30 days of employment.Educational Assistance: Comprehensive tuition reimbursement and scholarship programs providing up to $10,000 annually for employee and family education.Comprehensive Healthcare: Premium medical (Cigna Open Access), dental, and vision (EyeMed) coverage for employees and eligible dependents, plus access to Teladoc and wellness incentives.Flexible Spending Accounts: Healthcare FSA and Dependent Care Assistance Plan options using pretax dollars.Paid Time Off: 15 days of paid vacation (1–9 years of service), 10 paid holidays plus 1 personal day annually, and paid parental leave (up to 12 weeks for birthing parents, 4 weeks for bonding).
ABOUT THE TALENT MINE
The Talent Mine is a premier recruiting agency dedicated to swiftly connecting leading organizations with high-performing Technology and Climate professionals.
Grounded in core principles of integrity, inclusivity, and deep industry expertise, The Talent Mine incorporates a human-first approach to create an extraordinary hiring experience for both employers and candidates.