**Job Title**

Experienced Data Engineer – Data Pipeline Development & Analytics Infrastructure Specialist (Full-Time | Seattle) --- **Job Description**

Join arenaflex: Where Innovation Meets Impact

Are you ready to be part of one of the world's most respected retail organizations? Welcome to arenaflex — a global leader in the wholesale retail industry with operations spanning fourteen countries. Despite our massive scale and worldwide presence, we maintain a family-oriented, employee-driven culture where every team member thrives and succeeds. As proof of our commitment to our people, arenaflex consistently ranks among the best companies to work for in prestigious rankings like Forbes' "World's Best Employers."

At arenaflex, we believe that data is the backbone of modern retail excellence. Our Information Technology team is responsible for shaping the technological future of our organization, and we're currently seeking a talented Data Engineer – Data Analytics to join our growing team in Seattle. This is your opportunity to work with cutting-edge data technologies, collaborate with brilliant minds across the organization, and make a tangible impact on how arenaflex leverages data to drive business decisions.

About This Role

As a Data Engineer at arenaflex, you will be responsible for creating and operationalizing data pipelines that make data accessible for reporting and advanced analytics. This encompasses data ingestion, data transformation, data validation and quality assurance, pipeline development, orchestration, and close collaboration with DevOps engineers during continuous integration and continuous delivery (CI/CD) processes.

The Data Engineer – Data Analytics role is accountable for end-to-end data pipelines that power analysis and data services across the organization. You will focus on data engineering to build and deploy automated data pipelines from a multitude of internal and external data sources. Working closely with product owners, engineering teams, and data platform teams, you will design, build, test, and automate data pipelines that serve as the single source of truth throughout the enterprise.

Key Responsibilities

• Data Pipeline Architecture: Create and maintain optimal data pipeline architecture, ensuring scalability, reliability, and performance across all data operations.
• Data Processing & Transformation: Develop robust ETL/ELT processes using industry-leading tools, particularly Informatica Cloud (IICS), to transform raw data into actionable insights.
• 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 enhance and accelerate delivery of data products and services.
• Data Modeling Collaboration: Work closely with Data Modelers to build effective data models and develop pipelines that store data in defined structures and formats.
• Cross-Functional Partnership: Collaborate with Data Architects, Data Scientists, and BI Architects to design and maintain scalable data models and pipelines that meet evolving business requirements.
• Process Improvement: Identify, plan, and implement internal process improvements — automating manual processes and optimizing data delivery mechanisms.
• Big Data & NoSQL Solutions: Implement big data and NoSQL solutions by developing scalable data processing platforms that drive high-value insights across the organization.
• Data Governance: Support the development of Data Dictionaries and Data Taxonomies for product solutions, ensuring consistent data lineage and metadata management.
• Data Quality Assurance: Identify ways to improve data reliability, efficiency, and quality of data management practices.
• Ad-Hoc Analysis: Conduct spontaneous data retrieval for business reports and dashboards as needed.
• Database Administration: Manage database architecture including installing and updating software, maintaining comprehensive documentation, and monitoring database migration and resource utilization.
• Technical Communication: Demonstrate the ability to communicate technical concepts to non-technical audiences in both written and verbal formats.
• Peer Review: Perform peer review for other Data Engineers' work, ensuring code quality and best practices are maintained.

Required Qualifications & Experience

• 3+ years of experience designing and operationalizing data pipelines with large and complex datasets.
• 3+ years of hands-on experience with Informatica PowerCenter.
• 3+ years of experience in Data Modeling, ETL, and Data Warehousing.
• 3+ years of hands-on experience with Informatica IICS (Informatica Cloud).
• 3+ years of experience working with Cloud technologies, particularly Azure services such as ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Spark, Azure Databricks, Synapse, and other big data technologies.
• Extensive experience working with multiple data sources including SQL databases, Oracle databases, flat files (CSV, delimited formats), Web APIs, and XML.
• Advanced SQL skills with a strong understanding of relational databases and business data; ability to write complex SQL queries against various data sources.
• Solid understanding of database storage concepts including data lakes, relational databases, NoSQL, Graph databases, and data warehousing.
• Ability to thrive in a fast-paced agile development environment.
• Scheduling flexibility to meet business needs including weekends, holidays, and 24/7 on-call responsibilities on a rotational basis.
• Bachelor's Degree in Computer Science, Engineering, or equivalent software/services experience.

Preferred Qualifications

• Azure certifications demonstrating cloud platform expertise.
• Experience implementing data integration strategies, including event/message-based integration (Kafka, Azure Event Hub) and ETL methodologies.
• Experience with Git/Azure DevOps for version control and CI/CD pipelines.
• Experience delivering data solutions through agile software development methodologies.
• Familiarity with the retail industry and its unique data challenges.
• Excellent verbal and written communication skills.
• Experience working with SAP integration tools including Bods.
• Experience with UC4 Job Scheduler.

Skills & Competencies

To excel in this role at arenaflex, you should possess:

• Technical Proficiency: Strong understanding of coding and programming concepts to build data pipelines including data transformation, data quality, and data integration.
• Data Integration Expertise: Strong grasp of data integration techniques and tools (ETL/ELT) and database architecture.
• Problem-Solving: Ability to gather large, complex datasets to meet business requirements and translate them into meaningful analytics.
• Collaboration: Strong partnership skills to work effectively with Data Architects, Data Scientists, and BI Engineers.
• Communication: Demonstrated ability to convey technical concepts to non-technical audiences.

Why Join arenaflex?

At arenaflex, we offer more than just a job — we offer a career path filled with growth opportunities, professional development, and meaningful work. Here's what you can expect when you join our team:

Competitive Compensation

We value your expertise and contributions. The starting hourly rate for this position is $26 per hour, with opportunities for overtime and performance-based incentives. As you grow within the organization, so does your earning potential.

Comprehensive Benefits Package

Full-time arenaflex employees enjoy a comprehensive benefits package that includes:

• Health, dental, and vision insurance
• 401(k) retirement plan with company matching
• Paid time off (PTO) and holidays
• Employee assistance programs
• Discounts on arenaflex products and services
• Tuition reimbursement for continued education

Career Development

We invest in our people. arenaflex provides extensive training programs, certification opportunities, and clear career advancement pathways. Whether you're looking to specialize further in data engineering, transition into data architecture, or explore related fields, we support your professional journey.

Work-Life Balance

We understand the importance of balancing work and personal life. Our flexible scheduling options, remote work opportunities (where applicable), and supportive culture help you maintain a healthy equilibrium.

Inclusive Culture

arenaflex is proud to foster an inclusive environment where diverse perspectives are celebrated. We believe that our differences make us stronger, and we're committed to creating a workplace where everyone feels valued and respected.

Work Environment

You'll be based in our Seattle headquarters, a modern facility equipped with state-of-the-art technology and collaborative spaces. Our office culture emphasizes teamwork, innovation, and continuous learning. You'll have access to cutting-edge tools and technologies, and you'll work alongside some of the brightest minds in the industry.

How to Apply

If you're ready to take the next step in your career and join one of the world's best companies to work for, we encourage you to apply today! This is your opportunity to be part of a dynamic team that's transforming how data drives business decisions at arenaflex.

Don't miss this chance to redefine your career and make a lasting impact. We look forward to receiving your application and potentially welcoming you to the arenaflex family!

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.