Senior Data Ops Developer

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions. You will 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. We are seeking applicants with strong SQL knowledge, practical data engineering experience, and the communication skills to connect technical solutions with business needs.

• →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.

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

• Experience with Microsoft Azure, Azure SQL, Azure Data Lake, Azure data warehousing services, or other cloud-native data technologies.
• Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies.
• Exposure to AI-enabled solution development using services or platforms such as Azure AI, generative AI application programming interfaces, or Hugging Face.
• Experience creating internal automation tools, chatbots, agents, or other solutions that improve productivity for business users.

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The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.