Senior Data Engineer - Data Analytics, ETL Pipeline Development & Cloud Data Solutions Specialist

Join arenaflex: Build the Future of Data at One of the World's Leading Organizations

Are you ready to transform your career and become part of an organization that values innovation, teamwork, and employee growth? Welcome to arenaflex – where technology meets opportunity, and your expertise powers meaningful business outcomes across the globe.

At arenaflex, we are more than just a company; we are a global force in retail and technology, operating in fourteen countries and serving millions of customers worldwide. Despite our massive scale, we have maintained our family-oriented culture where every employee matters and has the opportunity to thrive. As evidence of our commitment to our people, arenaflex has been consistently recognized among the best places to work globally. We believe that when our team members succeed, our business succeeds – and we're looking for talented individuals who want to grow with us.

Our Information Technology division is at the heart of arenaflex's continued success and innovation. We are seeking a highly skilled and motivated Senior Data Engineer - Data Analytics to join our dynamic team in Seattle, USA. This is a exceptional opportunity to work with cutting-edge technologies, solve complex data challenges, and make a tangible impact on business decisions that affect millions of customers.

About the Role

As a Senior Data Engineer at arenaflex, you will be responsible for the end-to-end data pipeline lifecycle that powers our analytics, business intelligence, and advanced data services. You will play a critical role in designing, building, and operationalizing robust data infrastructure that serves as the foundation for actionable insights across the organization.

This position requires a unique blend of technical expertise, creative problem-solving, and collaborative skills. You will work closely with data architects, data scientists, business intelligence engineers, and product owners to transform raw data into reliable, accessible information that drives strategic decision-making.

Key Responsibilities

• Pipeline Architecture & Development: Design, build, and maintain optimal data pipeline architecture, including data ingestion, transformation, validation, and quality assurance processes that support reporting and advanced analytics initiatives.


• ETL/ELT Implementation: Develop and implement Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes using industry-leading tools, ensuring efficient and reliable data flow between systems.


• Cloud Data Solutions: Leverage Azure services including Azure SQL Data Warehouse (Synapse), Azure Data Lake Storage (ADLS), Azure Event Hub, and Azure Data Factory to build scalable data processing platforms.


• Data Modeling Collaboration: Work alongside data modelers to create and maintain robust data models that support business requirements and ensure data consistency across the organization.


• Quality & Reliability: Identify and implement strategies to improve data reliability, efficiency, and overall data quality management practices.


• Process Automation: Automate manual processes and optimize data delivery mechanisms to improve operational efficiency and reduce turnaround times.


• Technical Documentation: Maintain comprehensive documentation for database configurations, data pipelines, and technical specifications.


• Performance Monitoring: Monitor database performance, resource utilization, and implement optimization strategies as needed.


• Cross-Functional Collaboration: Partner with engineering teams, product owners, and stakeholders to understand data requirements and deliver solutions that meet business needs.


• Knowledge Sharing: Provide technical guidance to junior team members and contribute to peer reviews of data engineering work.


• Communication: Translate complex technical concepts into clear, accessible language for non-technical stakeholders both verbally and in writing.

Technical Skills & Competencies Required

We are looking for candidates who demonstrate strong proficiency in the following areas:

• Data Pipeline Experience: Minimum 3+ years of experience designing and operationalizing data pipelines with large, complex datasets.


• Informatica Expertise: Hands-on experience with Informatica PowerCenter and Informatica Intelligent Cloud Services (IICS) is essential.


• Data Modeling & Warehousing: Strong background in data modeling, ETL processes, and data warehousing concepts.


• Cloud Technologies: Extensive experience with Azure cloud services including ADLS, Azure Data Factory, Azure Databricks, Databricks Live Tables, Spark, Azure Synapse, and other big data technologies.


• Database Knowledge: Deep understanding of various database storage concepts including data lakes, relational databases, NoSQL, Graph databases, and traditional data warehousing solutions.


• Data Integration: Strong grasp of data integration techniques and tools for handling diverse data sources.


• Programming & SQL: Solid foundation in programming concepts with advanced SQL skills; ability to write complex SQL queries across multiple data sources.


• Data Sources: Experience working with multiple data sources including SQL databases, Oracle databases, flat files (CSV, delimited formats), Web APIs, and XML.


• Agile Environment: Ability to thrive in a fast-paced, agile development environment.


• Flexibility: Willingness to work flexible hours including weekends, holidays, and participate in on-call rotation as needed.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent technology experience.


• Azure certifications are highly desirable.


• Experience implementing event/message-based integration using technologies like Kafka or Azure Event Hub.


• Familiarity with Git and Azure DevOps practices.


• Experience delivering data solutions through agile software development methodologies.


• Exposure to the retail industry is a plus.


• Excellent verbal and written communication skills.


• Experience with SAP integration tools including Boomi.


• Knowledge of UC4 Job Scheduler.

Why Join arenaflex?

At arenaflex, we believe in rewarding our team members for their hard work, dedication, and contributions to our success. We offer a comprehensive benefits package designed to support your professional growth, financial security, and overall well-being.

Compensation & Financial Benefits

• Competitive Salary: $26 per hour with opportunities for performance-based increases.


• Full-Time Position: 8-hour work days with Monday-Friday schedules where possible.


• Health & Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans.


• Retirement Plans: 401(k) retirement savings plan with company matching contributions.

Career Development & Learning

• Professional Growth: Clear career pathways and opportunities for advancement within the organization.


• Training Programs: Access to ongoing training, certifications, and skill development opportunities.


• Mentorship: Work alongside experienced professionals who are committed to helping you succeed.


• Cutting-Edge Projects: Exposure to the latest technologies and methodologies in data engineering.

Work-Life Balance & Culture

• Family-Oriented Environment: We maintain a supportive, collaborative culture that treats employees like family.


• Remote Work Options: Flexible work arrangements to support your work-life balance.


• Inclusive Culture: Join a diverse team where everyone's contributions are valued and celebrated.


• Global Impact: Be part of an organization that makes a difference in communities around the world.

Our Commitment to Excellence

arenaflex has built its reputation on a foundation of quality, integrity, and innovation. As part of our IT team, you will contribute to projects that impact millions of customers and drive the future of retail technology. We invest heavily in our technology infrastructure and our people because we know that our success depends on both.

Our collaborative environment encourages creativity, continuous learning, and the sharing of ideas. We believe that the best solutions come from diverse perspectives and teamwork. When you join arenaflex, you become part of a global family that supports your growth and rewards your contributions.

How to Apply

If you are passionate about data engineering, excited about working with cutting-edge cloud technologies, and want to be part of an organization that truly values its employees, we want to hear from you!

Take the first step toward an incredible career opportunity by submitting your application today. Join arenaflex and help us continue to innovate, grow, and deliver exceptional experiences to customers around the world.

We are an equal opportunity employer and welcome all qualified applicants to join our team. At arenaflex, diversity and inclusion are core to who we are, and we believe that diverse perspectives drive innovation and success.

Ready to redefine your career? Apply now and become part of something extraordinary at arenaflex!