Remote Data Engineer – Data Analytics & Cloud Pipeline Architecture Specialist (Full-Time, Work From Home)

Join arenaflex: Build the Data Future of Global Retail from Anywhere

Are you a passionate data engineering professional ready to design, build, and optimize enterprise-scale data pipelines for one of the most respected organizations in the world? arenaflex is looking for a talented Remote Data Engineer – Data Analytics to join our dynamic technology team. This is more than a job — it is an opportunity to shape how data flows, transforms, and empowers decision-making across a global enterprise, all from the comfort of your home office.

arenaflex IT is responsible for the technical future of arenaflex, a globally recognized leader in the retail industry. Despite our massive scale and rapid international growth, we maintain a family-oriented, employee-driven environment where our team members thrive, grow, and succeed. As a testament to our culture, arenaflex consistently ranks among the top employers globally, recently named one of the world's best workplaces by leading industry publications. When you join arenaflex, you join a company that genuinely values its people, invests in innovation, and believes in the transformative power of data.

About the Role

As a Remote Data Engineer – Data Analytics at arenaflex, you will play a critical role in operationalizing data pipelines that power reports, dashboards, advanced analytics, and machine learning initiatives across the enterprise. You will be responsible for end-to-end pipeline design, from ingestion through transformation, validation, orchestration, and delivery, ensuring that data is accurate, reliable, and accessible to the teams that need it most.

This position requires a strong foundation in programming and SQL, combined with deep expertise in data storage, modeling, cloud platforms, data warehousing, and data lake architectures. You will collaborate closely with Data Architects, Data Scientists, and BI Engineers to design, build, and maintain scalable data models and pipelines that serve as the single source of truth for the entire organization.

Key Responsibilities

• Pipeline Development & Operationalization: Design, develop, and operationalize robust data pipelines that make data readily available for consumption through BI tools, advanced analytics, and downstream services.
• Data Ingestion & Integration: Gather and process large, complex datasets from a wide variety of internal and external sources, including SQL databases, Oracle databases, flat files (CSV, delimited formats), web APIs, and XML feeds.
• Architecture Collaboration: Work in close partnership with Data Architects and BI Engineers to align on data architecture requirements, recommend ongoing optimizations, and design scalable, high-performance pipelines.
• ETL/ELT Process Design: Plan, develop, and implement efficient ETL and ELT processes using tools such as Informatica PowerCenter and Informatica IICS (Informatica Cloud) to deliver high-quality, timely data products.
• Cloud Engineering: Leverage Azure services — including Azure SQL Data Warehouse (Synapse), Azure Data Lake Storage (ADLS), Azure Event Hub, Azure Data Factory, Azure Databricks, Databricks Delta Live Tables, Spark, and Cosmos DB — to accelerate and enhance data delivery.
• Data Modeling & Quality: Build data models in collaboration with Data Modelers, develop pipelines to populate those models, and uphold strict standards for data quality, reliability, and governance.
• Process Improvement: Identify, design, and implement internal process improvements — including automating manual workflows, optimizing data delivery, and reducing time-to-insight for business stakeholders.
• Big Data & NoSQL Solutions: Implement big data and NoSQL architectures to create scalable data processing platforms that drive high-value insights across the organization.
• Data Dictionary & Taxonomy: Support the development and maintenance of comprehensive data dictionaries and data taxonomies for product lines and analytical solutions.
• Ad-Hoc Analysis Support: Lead ad-hoc data retrieval efforts to support business reporting, dashboarding, and executive decision-making.
• Data Integrity Review: Assess the integrity, consistency, and accuracy of data from multiple sources, proactively identifying and resolving discrepancies.
• Database Administration: Manage database architecture, including installation and upgrading of relevant software, while maintaining thorough documentation.
• Performance Monitoring: Monitor database activity and resource utilization, tuning performance to ensure system reliability and efficiency.
• Peer Review & Mentorship: Conduct peer reviews of fellow Data Engineers' work, providing constructive feedback and ensuring adherence to best practices and coding standards.
• Cross-Functional Communication: Communicate complex technical concepts clearly to non-technical audiences, both in written and verbal form, across product owners, engineers, and data platform teams.
• CI/CD Collaboration: Engage with DevOps Engineers to integrate data pipelines into continuous integration and continuous deployment (CI/CD) workflows.

Required Qualifications

• Experience: 3+ years of hands-on experience engineering and operationalizing data pipelines with large and complex datasets.
• Informatica PowerCenter: 3+ years of professional experience with Informatica PowerCenter.
• Data Modeling & Warehousing: 3+ years of experience in data modeling, ETL development, and data warehousing concepts and best practices.
• Informatica IICS: 3+ years of hands-on experience with Informatica Intelligent Cloud Services (IICS).
• Cloud Technologies: 3+ years of experience working with modern cloud platforms, including ADLS, Azure Data Factory, Azure Databricks, Databricks Live Tables, Spark, Azure Synapse, Cosmos DB, and other big data technologies.
• Diverse Data Sources: Extensive experience working with various data sources, including SQL databases, Oracle databases, flat files (CSV, delimited), web APIs, and XML formats.
• Advanced SQL Skills: High-level proficiency in SQL, with a strong understanding of relational databases and business data; ability to write complex queries against multiple data sources.
• Storage Concepts: Solid grasp of database storage paradigms, including data lakes, relational databases, NoSQL systems, graph databases, and data warehousing architectures.
• Agile Environment: Ability to thrive in a fast-paced, agile development environment, managing multiple priorities with confidence.
• Scheduling Flexibility: Willingness to accommodate business needs, including weekends, holidays, and 24/7 on-call emergency support on a rotational basis.

Preferred Qualifications

• Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Azure Certifications: Current Microsoft Azure certifications (such as Azure Data Engineer Associate) are highly desirable.
• Event-Based Integration: Experience implementing data integration patterns, such as event/message-based integration using Kafka or Azure Event Hub, alongside traditional ETL.
• Version Control & DevOps: Hands-on experience with Git and Azure DevOps for source control, pipeline automation, and collaborative development.
• Agile Delivery: Experience delivering data solutions through agile software development methodologies, including sprint planning, daily standups, and retrospectives.
• Industry Exposure: Familiarity with the retail industry and its unique data challenges is a strong plus.
• Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex technical topics for diverse audiences.
• SAP Integration: Experience working with SAP integration tools, including SAP BODS (Business Objects Data Services).
• Job Scheduling: Experience with UC4 Job Scheduler or similar enterprise job scheduling tools.

Skills & Competencies for Success

To excel as a Remote Data Engineer at arenaflex, you will need a blend of technical depth, analytical thinking, and collaborative spirit. We are looking for professionals who demonstrate strong problem-solving abilities, meticulous attention to detail, and a passion for building systems that operate flawlessly at scale. You should be comfortable working autonomously in a remote setting while staying deeply connected to your team through clear, proactive communication. A continuous learning mindset, intellectual curiosity, and a drive to stay current with emerging data technologies will help you thrive and grow within arenaflex.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is not confined to a single path. We invest heavily in employee development through technical training, certification support, mentorship programs, and access to cutting-edge projects that push the boundaries of what's possible in retail data analytics. As a member of our data engineering team, you will have the opportunity to deepen your expertise in cloud data platforms, modern data stack architectures, and large-scale data processing — all while contributing to initiatives that directly impact the strategic direction of a global enterprise. Many of our senior architects, principal engineers, and technical leaders began their journeys in roles exactly like this one.

Work Environment & Company Culture

arenaflex fosters a culture of respect, inclusion, and collaboration. Even as a fully remote employee, you will be an integral part of a supportive team that values open communication, shared learning, and mutual success. We believe that great ideas can come from anywhere, and we empower every team member to contribute meaningfully, challenge the status quo, and drive innovation. Our remote-first approach gives you the flexibility to do your best work from home while staying connected through regular virtual team meetings, collaborative tools, and periodic in-person gatherings. arenaflex's employee-driven philosophy means your voice is heard, your work is valued, and your contributions are recognized.

Compensation & Benefits

arenaflex is proud to offer a competitive compensation package designed to attract and retain top talent. For this position, the hourly rate is $26/hour, with full-time employment classification offering 8-hour workdays and a comprehensive benefits package. While specific benefits may vary by location, arenaflex employees typically enjoy a robust suite of perks, including:

• Competitive hourly wages with regular performance reviews and growth opportunities
• Comprehensive medical, dental, and vision insurance
• Paid time off, holidays, and personal days to support work-life balance
• Retirement savings plans and financial wellness resources
• Employee discounts and wellness programs
• Professional development support, including certification reimbursement and training resources
• A flexible remote work environment that empowers you to work from home

Primary Location

This remote position supports our Seattle, USA operations, but the role is fully remote, allowing you to work from home anywhere within a compatible time zone that supports business needs.

How to Apply

If you are ready to take the next step in your data engineering career and join a company that truly values its people, we want to hear from you. arenaflex is an equal-opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees. Bring your expertise, your curiosity, and your passion for data — and let us show you what it's like to build a career at one of the world's most respected organizations. Apply today and allow arenaflex to help you rethink what's possible in your professional journey.