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About the Role

Design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions. Partner with Data Platform, Analytics, Quote-to-Cash, and Quote-to-Fulfillment teams to improve how data is stored, processed, and used across the organization.

Responsibilities

• Design, implement, and maintain cloud-based data pipelines that support the efficient ingestion, storage, processing, and analysis of large volumes of data.
• Partner with data engineers, analytics teams, and business stakeholders to understand requirements and translate them into scalable, reliable, and maintainable technical solutions.
• Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
• Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability, performance, extensibility, cost, security, and operational support.
• Integrate data from multiple disparate sources while maintaining data quality, integrity, accuracy, and timeliness.
• Design and optimize data storage and processing solutions, including data lakes, data warehouses, data marts, Azure SQL, and Spark-based workflows.
• Perform all responsibilities in accordance with company policies, procedures, security requirements, and internal controls.

Requirements

• 2–3+ years’ experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
• Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
• Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
• Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
• Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.
• Ability to work independently, take ownership of assignments, and collaborate effectively as a positive and proactive team member.

Skills

• SQL
• Data pipelines
• Data platforms
• Data warehouses
• Data lakes
• Microsoft Azure
• Azure SQL
• Azure Data Lake
• Azure data warehousing services
• PySpark
• Apache Spark
• Python
• AI-enabled solution development
• Azure AI
• generative AI application programming interfaces
• Hugging Face
• Internal automation tools
• Chatbots
• Agents

Location

• Hybrid

Work Type

• Hybrid

Experience Level

• 2-3+ years

Education Level

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.

Salary/Compensations

• $94,000 - $151,000 USD

Benefits

• Comprehensive health and wellness benefits
• Opportunities for mentorship, continuing education, and focused career goal setting
• Free LinkedIn Learning licenses
• Mentoring Program
• Inclusive, global workplace
• Policies built on mutual trust and support
• Comprehensive support for international relocations and permanent residency processes

About the Company

• At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

Equal Opportunity

• Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer.