Senior Data Engineer – Business Intelligence & Analytics Platform Development

About arenaflex

Welcome to arenaflex, a leading innovator in the home improvement and retail industry. As one of the most trusted names in the market, we have built our reputation on delivering exceptional customer experiences, operational excellence, and forward-thinking technology solutions. Our commitment to data-driven decision making has been a cornerstone of our success, enabling us to understand our customers better, optimize our operations, and create meaningful connections with millions of homeowners and DIY enthusiasts across the nation.

At arenaflex, we believe that great data infrastructure is the foundation of exceptional customer service. Our Analytics and Business Intelligence team is at the heart of this mission, transforming raw data into actionable insights that drive every aspect of our business—from the way customers interact with our stores and digital platforms to how we manage our supply chain and inventory. We are currently seeking a talented and passionate Senior Data Engineer to join our Client Experience Analytics team and help us continue our journey toward data excellence.

Position Overview

We are looking for an experienced Senior Data Engineer to lead the methodology and execution of incorporating new datasets that power investigation and information science drives for arenaflex's Client Experience organization. This is a critical role that sits at the intersection of data engineering, business intelligence, and customer analytics. You will be responsible for consolidating, organizing, and automating data sets from diverse sources including contact centers, e-commerce platforms, conditional systems, supply chain operations, and functional areas. Your work will directly impact our ability to understand and serve our customers better.

In this role, you will be responsible for stitching and migrating various customer-related data sources into our Google BigQuery environment, maintaining our data warehouse, designing and performing quality assurance, and providing ad-hoc reporting. You will collaborate with cross-functional teams to build robust data pipelines, create intuitive dashboards and reports, and develop predictive models that drive strategic decisions across the organization.

Key Responsibilities

• Data Pipeline Development (50%): Design and develop effective, user-friendly applications, reports, and dashboards using Business Intelligence tools such as MicroStrategy and SAS. Build scalable data pipelines that integrate customer data from multiple sources including contact centers, e-commerce platforms, retail operations, and supply chain systems into our centralized data warehouse.


• Business Collaboration (25%): Collaborate with business leaders and stakeholders to identify their analytical needs and gather comprehensive requirements. Provide innovative solutions by building custom tools, reports, and predictive models. Automate reporting processes to improve efficiency and reduce manual effort across the analytics team.


• Best Practices and Innovation (25%): Research and report on best practices and standards for using our Business Intelligence tools. Provide valuable insights on industry trends and emerging technologies in data engineering, analytics, and customer intelligence. Act as a subject matter expert for data engineering best practices within the organization.


• Design and implement data integration processes that connect customer touchpoints across multiple channels to create a unified customer view


• Maintain and optimize existing data pipelines ensuring high data quality, reliability, and performance


• Develop and document data models, ETL processes, and data transformation logic


• Create and maintain comprehensive data documentation and metadata repositories


• Mentor junior team members and contribute to the continuous improvement of our data engineering practices


• Participate in code reviews and ensure adherence to coding standards and best practices

Qualifications

Essential Requirements

• Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field


• Minimum of 5-7 years of experience in data engineering, business intelligence, or analytics roles


• Strong proficiency in SQL with hands-on experience in writing complex queries, stored procedures, and optimizing query performance


• Experience with cloud-based data warehousing solutions, preferably Google BigQuery


• Demonstrated ability to translate business requirements into technical specifications


• Experience with ETL processes and data integration from multiple disparate sources


• Strong problem-solving skills with the ability to troubleshoot data issues and optimize data workflows


• Excellent communication skills with the ability to present technical concepts to non-technical stakeholders


• Strong attention to detail and commitment to data quality

Preferred Qualifications

• Master's degree in a related field


• Expert-level proficiency in SQL, particularly with Google BigQuery


• Strong knowledge of Python for data processing and automation


• Experience with Apache Airflow or similar workflow orchestration tools


• Related experience with data stitching processes—joining data sets from various sources and devices to gain deep insights into customer behavior and journey, such as connecting data from contact centers to customer orders


• Proven experience in moving data on a regular cadence from one platform to another


• Experience in exploring and analyzing organization data to support statistical analysis by the business team


• Previous experience in the retail industry or e-commerce sector


• Familiarity with customer data platforms (CDP) and customer journey mapping


• Experience with Agile methodologies and cross-functional team collaboration

Technical Skills Required

• Database & Query Languages: Expert-level SQL skills, experience with NoSQL databases, understanding of data modeling principles (star schema, snowflake schema, dimensional modeling)


• Programming Languages: Proficiency in Python, R, or similar languages for data manipulation and analysis


• Cloud Platforms: Hands-on experience with Google Cloud Platform, particularly BigQuery, Dataflow, and Pub/Sub


• ETL & Data Integration: Experience with ETL tools such as Apache Airflow, Talend, Informatica, or similar platforms


• Business Intelligence Tools: Proficiency in MicroStrategy, SAS, Tableau, Power BI, or similar BI platforms


• Version Control: Experience with Git and collaborative development practices

Career Growth and Learning Opportunities

At arenaflex, we are committed to the professional development of our team members. As a Senior Data Engineer, you will have access to numerous opportunities for growth and advancement within our organization. We invest heavily in training and development programs that help our employees build new skills and advance their careers.

You will work alongside some of the brightest minds in the industry, collaborating on complex data challenges that have real-world impact. Our culture encourages continuous learning, and we provide generous support for professional certifications, conference attendance, and advanced education. Whether you aspire to become a Principal Data Engineer, move into a management role, or specialize in a particular area of data science, arenaflex provides the pathways and resources to help you achieve your goals.

Additionally, you will gain invaluable experience working with enterprise-scale data systems and solving complex business problems for one of the most recognized brands in retail. The skills and experience you develop in this role will position you for long-term success in the data engineering and analytics field.

Work Environment and Culture

arenaflex offers a dynamic and inclusive work environment where innovation is celebrated and diverse perspectives are valued. Our team members enjoy a collaborative atmosphere where ideas are freely shared, and everyone has the opportunity to make a meaningful impact. We believe in work-life balance and offer flexible arrangements to support our employees' well-being.

This position typically requires occasional overnight travel (less than 10% of the time) for team meetings, training sessions, and strategic planning sessions. Most of your work will be performed in a comfortable indoor office environment, with the possibility of hybrid or remote work arrangements based on team needs and performance.

The physical demands of this role are minimal. Most time is spent sitting in a comfortable position with frequent opportunities to move about. Occasionally, there may be a need to move or lift light items, but this is not a regular requirement of the position.

Compensation and Benefits

arenaflex is proud to offer competitive compensation packages that reflect the value our team members bring to our organization. The hourly rate for this position ranges from $20 to $30 per hour, depending on experience and qualifications. We also offer a comprehensive benefits package that includes:

• Health, dental, and vision insurance


• 401(k) retirement plan with company match


• Paid time off and holidays


• Employee assistance program


• Tuition reimbursement and professional development opportunities


• Employee discount on arenaflex products


• Wellness programs and resources

Join Our Team

If you are passionate about data engineering, thrive in collaborative environments, and want to make a real impact on how a leading retailer understands and serves its customers, we want to hear from you. At arenaflex, you will be more than just an employee—you will be part of a team that is transforming the way we use data to create exceptional customer experiences.

This is an exciting opportunity to join a company that values innovation, embraces technology, and is committed to continuous improvement. Apply today and take the first step toward a rewarding career with arenaflex. We look forward to welcoming you to our team!