Experienced Full Stack Data Engineer – Cloud-Based Data Analytics and Information Architecture

Posted 2026-05-06

Remote, USA Full-time Immediate Start

At arenaflex, we are a global leader in the retail industry, committed to providing an exceptional shopping experience to our members and customers. As a Data Engineer on our team, you will play a critical role in designing and operationalizing data pipelines to drive business insights and decision-making. If you have a passion for data engineering, a strong background in programming and SQL, and a desire to work in a fast-paced and dynamic environment, we encourage you to apply for this exciting opportunity.

*About arenaflex**

arenaflex is a multinational retailer with a presence in 14 countries, offering a wide range of products and services to our members and customers. We are committed to providing a family-friendly work environment where our employees can thrive and succeed. As a testament to our commitment, arenaflex has been ranked as one of the "World's Best Bosses" by Forbes. Our company culture is built on a foundation of trust, respect, and open communication, and we are proud to be a leader in the retail industry.

*Job Summary**

As a Data Engineer on our team, you will be responsible for designing and operationalizing data pipelines to support business intelligence, advanced analytics, and data services. You will work closely with data architects, data scientists, and business stakeholders to identify business requirements and design data pipelines that meet those needs. You will also be responsible for ensuring data quality, integrity, and security, as well as collaborating with cross-functional teams to implement data-driven solutions.

*Key Responsibilities**

Design and operationalize data pipelines to support business intelligence, advanced analytics, and data services
Work closely with data architects, data scientists, and business stakeholders to identify business requirements and design data pipelines that meet those needs
Ensure data quality, integrity, and security by implementing data validation, data transformation, and data quality checks
Collaborate with cross-functional teams to implement data-driven solutions and drive business insights and decision-making
Develop and maintain data models, data warehouses, and data lakes to support business intelligence and advanced analytics
Work with cloud-based technologies, such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Databricks, to design and operationalize data pipelines
Develop and maintain ETL/ELT processes using Informatica PowerCenter and Informatica IICS
Collaborate with data engineers and data architects to design and implement data pipelines and data architectures
Develop and maintain data visualizations and reports to support business intelligence and decision-making
Participate in code reviews and provide feedback to ensure high-quality code and best practices
Stay up-to-date with industry trends and emerging technologies to ensure arenaflex remains a leader in data engineering and analytics

*Essential Qualifications**

3+ years of experience designing and operationalizing data pipelines with large and complex datasets
3+ years of hands-on experience with Informatica PowerCenter and Informatica IICS
3+ years of experience working with cloud-based technologies, such as ADLS, Azure Data Factory, and Azure Databricks
3+ years of experience working with data sources, such as SQL, Oracle database, flat files (csv, delimited), web services, and XML
High-level SQL skills and strong understanding of data modeling and data warehousing concepts
Strong understanding of data integration methods and tools, such as ETL/ELT, data transformation, and data quality checks
Experience working in a fast-paced and dynamic environment with a focus on delivering high-quality results
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

*Preferred Qualifications**

BA/BS in Computer Science, Engineering, or related field
Azure certifications
Experience executing data integration strategies, such as event/message-based integration (Kafka, Azure Event Hub), ETL
Experience with Git/Azure DevOps
Experience conveying data solutions through agile software development processes
Openness to the retail business
Strong verbal and written communication skills
Experience working with SAP integration tools, including SAP BW
Experience with UC4 Job Scheduler

*What We Offer**

Competitive salary and benefits package
Opportunity to work with a global leader in the retail industry
Collaborative and dynamic work environment
Professional development and growth opportunities
Recognition and rewards for outstanding performance
Flexible work arrangements, including remote work options
Access to cutting-edge technologies and tools
Opportunities to work on high-impact projects and initiatives

*How to Apply**

If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We thank all applicants for their interest; however, only those selected for an interview will be contacted.