Senior Data Engineer – Large-Scale Big Data Pipeline & Cloud Analytics Specialist

About arenaflex

arenaflex stands at the forefront of the data revolution, partnering with the world's most dynamic organizations to transform massive information ecosystems into strategic assets. In an era where every click, transaction, and interaction generates valuable insight, arenaflex empowers enterprises to harness the true power of their data. Our mission is to build the technological backbone that turns raw information into meaningful, actionable intelligence—driving smarter decisions, more personalized customer experiences, and innovative business outcomes. We are a community of engineers, analysts, scientists, and strategists who believe that great data infrastructure is the foundation of every great business decision.

The retail landscape is evolving at an unprecedented pace, and at arenaflex, we are engineering the data systems that power that evolution. From customer acquisition and merchant onboarding to real-time analytics and marketplace optimization, our teams design solutions that serve millions of users every single day. If you are passionate about building scalable data ecosystems, thrive in collaborative environments, and want your code to have a measurable impact on the lives of millions, your next chapter begins here at arenaflex.

Position Overview

We are seeking a highly motivated and experienced Senior Data Engineer to join our rapidly expanding Data Ventures division. In this role, you will design, develop, and maintain the data pipelines, integration layers, and analytical architectures that fuel our enterprise-wide decision-making. You will work closely with data scientists, business analysts, software engineers, and product stakeholders to solve some of the most complex and exciting challenges in modern retail technology.

As a Senior Data Engineer at arenaflex, you will play a critical role in extracting, transforming, modeling, and governing data across a vast, multi-petabyte environment. You will architect solutions that enable downstream analytics, machine learning, and business intelligence capabilities—all while ensuring data quality, governance, and regulatory compliance. This is a full-time opportunity based in California, offering a competitive annual compensation package of $70,000–$80,000, along with comprehensive benefits and abundant opportunities for career advancement.

Key Responsibilities

Data Transformation and Integration

• Extract data from multiple identified databases and source systems using industry-best techniques and tools.
• Design and build robust, scalable data pipelines that transform raw data into clean, structured, and meaningful assets.
• Apply modern analytics trends and techniques to ensure that transformation logic is efficient, reliable, and future-proof.
• Develop integration layers that consolidate data from disparate sources into unified, governed repositories.

Data Source Identification and Quality Assurance

• Support the prioritization of business requirements and service-level agreements (SLAs).
• Identify the most appropriate data sources for specific analytical or operational use cases.
• Perform initial data quality checks to validate extracted data and flag inconsistencies before downstream consumption.

Data Modeling and Architecture

• Analyze complex data elements, data flows, system dependencies, and relationships to inform conceptual, logical, and physical data models.
• Develop Logical Data Models and Physical Data Models, including data warehouse and data mart schemas.
• Define relational tables, primary and foreign keys, indexes, and stored procedures to create a high-performance data architecture.
• Evaluate existing data models and physical databases to identify variations, inconsistencies, and improvement opportunities.
• Design efficient data flows and propose innovative solutions to system integration challenges.

Code Development and Testing

• Write production-grade code in appropriate programming languages, balancing business, technical, and data requirements.
• Create comprehensive test cases to validate proposed solution designs and ensure code reliability.
• Develop proofs of concept (POCs) for new technologies, tools, and architectural approaches.
• Deploy code to production environments using automated CI/CD pipelines and infrastructure-as-code practices.
• Maintain clear code documentation, playbooks, and development updates to support team collaboration.

Applied Business Acumen

• Provide strategic recommendations to business stakeholders on addressing complex data-driven challenges.
• Develop compelling business cases for projects with projected ROI or cost-saving outcomes.
• Translate high-level business requirements into well-defined projects, activities, and tasks aligned with broader business strategy.
• Recommend new processes, tools, and approaches to improve operational efficiency and innovation.

Data Governance and Stewardship

• Establish, align, and report on data governance operations and recommendations.
• Implement data governance practices in collaboration with business partners and peer teams.
• Interpret company and regulatory policies on data usage, privacy, and protection.
• Educate cross-functional teams on data governance processes, policies, standards, and guidelines.
• Provide recommendations for updates or improvements to existing data governance frameworks.

Cross-Functional Collaboration and Leadership

• Provide expert guidance and mentorship to junior engineers, supporting their technical growth and career development.
• Build strong relationships with key stakeholders across product, engineering, analytics, and business units.
• Promote and uphold company policies, procedures, mission, values, and ethical standards through training and leadership.
• Evaluate the ongoing effectiveness of current plans, programs, and initiatives, recommending improvements for greater efficiency and cost-effectiveness.
• Create training documentation and conduct knowledge-sharing sessions on data modeling best practices.

Essential Qualifications

• Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent practical experience).
• Programming Expertise: Proven hands-on experience coding in at least one modern programming language such as Scala or Python.
• Big Data Ecosystem: Strong working knowledge of Hadoop, Spark, Kafka, Python/PySpark, Java, and streaming architectures.
• Cloud Platforms: Familiarity with at least one major cloud computing platform, such as Google Cloud Platform (GCP) or Microsoft Azure.
• Data Modeling: Demonstrated skill in conceptual, logical, and physical data modeling, including data warehouse and data mart design.
• Data Migration: Solid understanding of data migration protocols, methodologies, and best practices.
• Scalable Systems: Experience building highly scalable, distributed Big Data solutions and ETL ecosystems.
• Integration Tools: Hands-on experience with integration and orchestration tools such as Automic or Airflow.

Preferred Qualifications

• Working knowledge of Databricks and the Lakehouse architecture.
• Hands-on experience with NoSQL databases such as Cosmos DB, alongside relational databases like MySQL or PostgreSQL.
• Practical experience with messaging platforms such as Kafka, RabbitMQ, or similar technologies.
• Track record of improving team efficiency by refining software development lifecycle (SDLC), requirements intake, and effort estimation processes.
• Demonstrated innovative, critical thinking, and advanced problem-solving abilities.
• Experience with data warehousing, business intelligence platforms, and analytics engineering.
• Master's degree in Computer Science or a related field, plus two or more years of experience in software engineering or data engineering.

Skills and Competencies for Success

• Strong analytical and problem-solving skills with attention to detail.
• Excellent verbal and written communication skills, with the ability to translate technical concepts to non-technical audiences.
• Self-starter mentality with the ability to work independently and as part of a high-performing team.
• Adaptability and resilience in fast-paced, evolving technical environments.
• Strong organizational skills and the ability to manage multiple priorities simultaneously.
• A passion for continuous learning, innovation, and staying current with emerging data technologies.

Career Growth and Learning Opportunities at arenaflex

At arenaflex, we believe that our people are our greatest asset. From day one, you will be paired with experienced mentors and have access to structured learning pathways designed to accelerate your growth. Whether you aspire to become a Principal Engineer, a Data Architect, or a Technical Fellow, we provide the resources, sponsorship, and challenging projects to help you get there. Our internal training programs, conference sponsorships, certification reimbursements, and rotational opportunities across business units ensure that your career trajectory remains in your hands.

Work Environment and Company Culture

arenaflex fosters a culture of curiosity, collaboration, and continuous improvement. We embrace a flexible, hybrid work model that combines in-office collaboration with virtual flexibility, empowering our team members to do their best work wherever they are most productive. Our offices serve as hubs for innovation—spaces designed to inspire creativity, accelerate decision-making, and build lasting connections across our global team. We celebrate diversity in all its forms and are committed to building an inclusive environment where every voice is heard and valued.

Compensation, Perks, and Benefits

• Competitive Salary: Annual compensation ranging from $70,000 to $80,000, commensurate with experience and qualifications.
• Performance Bonuses: Incentive awards recognizing outstanding individual and team contributions.
• Retirement Savings: 401(k) plan with company match to support your long-term financial goals.
• Stock Purchase Plan: Opportunity to invest in arenaflex and share in our collective success.
• Paid Time Off: Generous PTO, paid maternity and parental leave, and holidays.
• Health and Wellness: Comprehensive medical, dental, and vision insurance plans, plus wellness programs.
• Professional Development: Tuition reimbursement, certification support, and conference attendance sponsorship.

Equal Opportunity Employer

arenaflex is an equal opportunity employer. We are deeply committed to fostering a diverse, inclusive, and respectful workplace where all employees can thrive. We believe that embracing a wide range of perspectives, experiences, and backgrounds makes us stronger, more innovative, and better equipped to serve our global community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.

How to Apply

If you are excited about the opportunity to architect the data systems that will define the future of retail and technology, we encourage you to apply today. To be considered, please submit the following:

• An updated resume highlighting your relevant experience and accomplishments.
• A cover letter describing why you are the ideal candidate for this role at arenaflex.
• Copies of your educational qualifications, certificates, and any relevant professional certifications.
• Contact information for two or more professional references.

Applications will be reviewed on a rolling basis until the position is filled. We look forward to learning more about you and exploring how your talents can help arenaflex continue to shape the future of data-driven innovation.

Join arenaflex — Where Your Code Changes Lives

Imagine a career where every line of code you write helps millions of people live better, work smarter, and connect more deeply with the products and services they rely on every day. At arenaflex, that vision is not just a possibility—it is our daily reality. Whether you are taking your first step into the world of data engineering or you are a seasoned professional seeking your next great challenge, arenaflex offers the projects, the people, and the platform to help you soar. Apply now and become part of a team that is redefining what is possible in retail, technology, and beyond.