Senior Data Engineer – End‑to‑End Data Pipeline Development, Cloud Integration & Business Intelligence (Full‑Time, $26/hr)

About careerzynith – Pioneering Retail Innovation

careerzynith is a global retail powerhouse, ranking among the world’s largest discount retailers with operations in more than fourteen countries. Despite its massive scale, careerzynith maintains a family‑like, employee‑first culture where collaboration, continuous learning, and personal growth are celebrated. Recognized by Forbes as one of the “World’s Best Employers,” careerzynith consistently invests in technology, data‑driven decision making, and a supportive work environment that empowers every team member to thrive.

Why This Role Matters

At careerzynith, data is the lifeblood of strategic decision‑making. The Data Engineer – careerzynith Strategies Business Intelligence role is the engine that powers the flow of reliable, high‑quality data from a multitude of internal and external sources to the analytics platforms that drive the company’s competitive edge. As a senior member of the data engineering team, you will design, build, and operationalize robust data pipelines that enable business leaders to make informed, real‑time decisions across merchandising, supply chain, finance, and customer experience.

Key Responsibilities

• Design, develop, and maintain end‑to‑end data pipelines that ingest, transform, and load (ETL/ELT) data from diverse sources into careerzynith’s data warehouse and data lake environments.
• Collaborate closely with data analysts, product owners, and BI architects to translate business requirements into scalable data solutions.
• Implement and optimize ETL/ELT processes using Informatica Cloud (IICS) and Informatica PowerCenter, ensuring high performance and reliability.
• Leverage MySQL, Azure SQL Data Warehouse (Synapse), Azure Data Lake Storage (ADLS), Azure Databricks, Azure Event Hub, and other Azure services to accelerate data delivery and reduce latency.
• Build and maintain NoSQL solutions (e.g., Azure Cosmos DB) and data lake architectures that support large‑volume, high‑velocity data streams.
• Automate manual data workflows, streamline data ingestion, and enforce data quality standards across the pipeline.
• Identify opportunities to improve data reliability, efficiency, and governance; implement best‑practice data engineering patterns.
• Communicate complex technical concepts to non‑technical stakeholders through clear documentation and presentations.
• Conduct peer reviews of data architecture designs and provide constructive feedback to ensure consistency and excellence.
• Stay current with emerging cloud technologies, data engineering tools, and industry trends to continuously evolve careerzynith’s data platform.

Essential Qualifications

• Minimum 2 years of hands‑on experience designing and operationalizing data pipelines for large, complex datasets.
• Proven expertise with Informatica PowerCenter and Informatica Cloud (IICS) for ETL/ELT development.
• Strong background working with Azure cloud technologies, including ADLS, Azure Databricks, Azure Event Hub, Azure Synapse, and Azure Data Factory.
• Experience implementing data integration patterns such as event‑driven (Kafka, Azure Event Hub) and message‑based reconciliation.
• Solid understanding of Git and Azure DevOps for version control, CI/CD, and collaborative development.
• Advanced SQL skills with the ability to write complex queries across relational databases, data warehouses, and flat‑file sources.
• Deep knowledge of data storage concepts: data lakes, data warehouses, NoSQL databases, and data modeling.
• Demonstrated ability to work effectively in a fast‑paced, agile development environment.
• Excellent written and verbal communication skills, with a talent for translating technical details into business‑friendly language.
• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.

Preferred Qualifications & Skills

• Microsoft Azure certifications (e.g., Azure Data Engineer Associate).
• Programming experience in Python, PowerShell, or similar scripting languages for data automation.
• Familiarity with job scheduling tools such as UC4 (Automic) or Azure Automation.
• Exposure to retail industry data domains, including inventory, sales, and customer analytics.
• Experience building data solutions using agile methodologies and DevOps practices.
• Strong problem‑solving mindset with a proactive approach to identifying and mitigating data bottlenecks.

Core Competencies for Success

• Analytical Thinking: Ability to dissect complex data problems and devise elegant, efficient solutions.
• Collaboration: Works seamlessly with cross‑functional teams, fostering a culture of shared ownership.
• Adaptability: Thrives in a dynamic environment where priorities shift rapidly and new technologies emerge.
• Attention to Detail: Ensures data accuracy, consistency, and compliance with governance standards.
• Continuous Learning: Actively pursues professional development opportunities and stays ahead of industry trends.

Career Growth & Learning Opportunities

careerzynith is committed to the professional development of its employees. As a senior data engineer, you will have access to:

• Mentorship from industry‑leading data architects and senior leaders.
• Sponsored certifications and training programs in Azure, data engineering, and advanced analytics.
• Opportunities to lead high‑impact projects that directly influence corporate strategy.
• Cross‑departmental rotations that broaden your business acumen and technical expertise.
• A clear career ladder that can lead to roles such as Lead Data Engineer, Data Platform Manager, or Director of Business Intelligence.

Work Environment & Culture at careerzynith

Our Chicago office blends modern collaborative spaces with quiet zones for focused work. The culture is built on respect, inclusion, and a shared passion for innovation. Employees enjoy:

• Flexible work arrangements, including hybrid remote options.
• Team‑building events, hackathons, and community outreach programs.
• Health and wellness initiatives, such as on‑site fitness classes and mental‑health resources.
• Competitive compensation packages that reflect your expertise and contributions.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $26, complemented by a comprehensive benefits suite that includes:

• Medical, dental, and vision coverage with multiple plan options.
• 401(k) retirement plan with company match.
• Paid time off, holidays, and parental leave.
• Employee discount programs across careerzynith retail locations worldwide.
• Professional development stipend for conferences, courses, and certifications.
• Wellness programs, including gym memberships and virtual health resources.

How to Apply

If you are ready to shape the future of data at a globally recognized retailer and thrive in a collaborative, technology‑driven environment, we want to hear from you. Click the link below to submit your application and become part of careerzynith’s data‑focused success story.

Apply Now!

Join careerzynith – Where Data Meets Impact

At careerzynith, your work will directly influence decisions that affect millions of customers worldwide. Join a team that values curiosity, innovation, and the relentless pursuit of excellence. Take the next step in your career and help us turn data into actionable insight.