Data Engineer; Retail

Location-Type: Hybrid (

Location:

Egg Harbor, NJ)

Start Date Is: ASAP (Beginning of March)

Duration: 6 Month Contract (option to extend)

Compensation Range: $65-70/hour W2

As an Operational Data Engineer, you will play a key role in designing, building, and operating highly reliable operational data platforms that support business-critical systems and near-real-time workflows. This role emphasizes data availability, resiliency, observability, and cross-system integration, while providing technical leadership within the Operational Data team.

• Lead the design, development, and support of operational data pipelines serving systems such as eCommerce, OMS, WMS, 3PL, integrations, and other operational platforms
• Architect and implement incremental, CDC-based, event-driven, and batch data pipelines to support downstream consumers including Databricks, operational dashboards, analytics platforms, and business applications
• Partner closely with Integration teams, BI/Data Engineering, QA, Platform, and business stakeholders to define operational data contracts, SLAs, and reliability expectations
• Own and evolve the data consumption layer that enables multiple applications and platforms to consume consistent and trusted operational data
• Proactively monitor pipelines and jobs, perform deep root cause analysis for failures, performance degradation, and data quality issues, and drive long-term remediation
• Define and implement data quality, reconciliation, validation, and control frameworks for operational datasets
• Lead CI/CD strategy and implementation for operational data workflows, including environment promotion, rollback, and deployment automation
• Create and maintain comprehensive operational documentation, including architecture diagrams, data lineage, runbooks, and support playbooks
• Establish and promote best practices around performance tuning, scalability, resiliency, observability, and error handling
• Mentor and guide junior engineers, providing technical direction, design reviews, and best-practice coaching
• Participate in or lead production support and on-call rotations for business-critical operational data workloads
• Collaborate on initiatives involving seasonal readiness, peak-load preparation, and operational hardening

• Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent practical experience
• 5+ years of experience in data engineering, operational data platforms, integrations, or production data systems
• Strong hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS), Azure SQL / SQL Database, and Azure Key Vault
• Advanced proficiency in SQL and Python, including performance tuning and troubleshooting in production environments
• Strong experience with SQL Database platforms in cloud environments (Azure SQL, managed SQL services, performance optimization)
• Strong experience with incremental loading, CDC patterns, operational data modeling, and large-scale data ingestion
• Solid understanding of cloud-native data architectures and distributed systems
• Experience with Dev Ops and CI/CD practices, including source control, automated deployments, and environment management
• Hands-on experience with job orchestration and scheduling tools (e.g., Airflow, Visual Cron, or equivalent)
• Strong communication skills with the ability to collaborate across technical and business teams
• Proven ability to operate effectively in a high-availability, operationally critical environment

• Experience building or supporting Power Automate workflows for operational automation and integrations
• Experience defining and maintaining data lineage across operational and analytical data platforms
• Familiarity with event-driven architectures, messaging systems, or streaming platforms
• Experience with monitoring, logging, and alerting frameworks for data platforms
• Exposure to Power BI or other visualization tools for operational insights
• Experience using AI-assisted development tools such as Microsoft Copilot, Git Hub Copilot, Databricks Assistant, or ChatGPT
• Basic understanding of AI/ML concepts and how operational data supports ML workflows
• This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility