Senior DataOps Engineer: Azure Data Pipelines & Automation

RXinsider LTD.; Austin (TX); Hybrid; USD 94,000 - 151,000; Full time

Benefits offered by this job

Health and Wellness

Internal Mobility

Career Development

Work-Life Balance

Global Mobility

Inclusive Workplace

Job summary

Epicor seeks a DataOps Developer to 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 data storage, processing, and usage across the organization.

You will bring 2-3+ years in data engineering, strong SQL, and experience building data pipelines and warehouses.

Qualifications

• 2-3+ years' experience in data engineering or related field.
• Strong SQL skills and experience with data pipelines and data platforms.
• Ability to translate business requirements into scalable technical solutions.
• Excellent written and verbal communication for technical and non-technical audiences.
• Bachelor's degree or equivalent practical experience.

Responsibilities

• Design, implement, and maintain cloud-based data pipelines for ingestion, storage, processing, and analysis of large data volumes.
• Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into scalable solutions.
• Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
• Evaluate Azure infrastructure and cloud services for scalability, performance, cost, security, and operations.
• Integrate data from multiple sources while ensuring quality and timeliness.
• Design and optimize data storage and processing (data lakes, data warehouses, data marts, Azure SQL, Spark workflows).
• Follow company policies, procedures, security requirements, and internal controls.

Skills

SQL

Azure Data Platforms

PySpark

Apache Spark

Data pipelines

Data warehousing

Communication skills

Education

Bachelor's degree in Computer Science / Information Systems / Data Science / Engineering

Tools

Azure

Azure SQL

Azure Data Lake

Job description

Epicor seeks a DataOps Developer to 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 data storage, processing, and usage across the organization.

You will bring 2-3+ years in data engineering, strong SQL, and experience building data pipelines and warehouses.