Lead Big Data Engineer – Distributed Computing & Data Platform Development
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Join arenaflex as a Lead Big Data Engineer
Are you ready to transform the way a global enterprise harnesses the power of data? At arenaflex, we're on a mission to revolutionize how data drives decision-making across every facet of our business. We're looking for a talented and motivated Lead Big Data Engineer to join our Information Science and Engineering team and help us build the next generation of data platforms that power innovation at scale.
At arenaflex, we believe that data is the cornerstone of modern retail and enterprise excellence. With massive amounts of information flowing through our systems every second, we need visionary engineers who can design, build, and optimize the infrastructure that turns raw data into actionable insights. This is your opportunity to work with cutting-edge technologies and make a tangible impact on how millions of customers experience our brand.
About the Role
As a Lead Big Data Engineer at arenaflex, you'll be at the forefront of our data engineering initiatives, responsible for developing high-performance, distributed computing solutions that process enormous volumes of data in real-time. You'll work alongside talented data scientists, analysts, and engineers to build the algorithms and platforms that drive critical business decisions across marketing, supply chain optimization, enterprise security, and personalized customer experiences.
This role offers the unique opportunity to leverage arenaflex's unparalleled data resources to create solutions that directly impact our business operations and customer satisfaction. You'll be challenged to think creatively, solve complex problems, and continuously improve our data infrastructure to meet the evolving demands of our enterprise.
Key Responsibilities
Architect and develop high-performance distributed computing systems using Big Data technologies including Hadoop, NoSQL databases, text mining frameworks, and other distributed environment technologies
Design, program, debug, and modify software developments and new products used in distributed, large-scale analysis solutions
Define software architecture to ensure that all solutions are built within a consistent, scalable framework
Participate in architectural decision-making processes related to the selection of optimal software solutions
Implement models to manage web-scale data and its organization efficiently
Develop strategies that inform data design and architecture in alignment with enterprise standards
Create and maintain documentation that ensures consistency in development practices across the organization
Implement and improve core programming infrastructure to support enterprise-wide data operations
Develop interactive dashboards, reports, and analysis templates that provide valuable business insights
Implement and enforce platforms that provide ad-hoc access to large datasets for business users
Translate key requirements into effective solutions that meet business objectives
Provide consultation on complex projects and technical challenges
Review and approve specifications to ensure consistency in approach and usage
Act as a technical and business resource for software teams on a range of design issues
Perform systems and applications performance characterization and compromise studies through analysis and simulation
Research and implement improvements in coding standards and best practices
Essential Qualifications
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Broad understanding of software development principles and design patterns
Proficiency in at least one of the following programming languages: Java, Scala, or Python
Hands-on experience with Big Data technologies such as Hadoop, Spark, Druid, and related distributed computing frameworks
Demonstrated ability to collaborate with teams and partners to improve the overall operational maturity of Big Data ecosystems
Extensive experience with operational aspects of complete Big Data platforms including:
Monitoring and alert management
System availability and uptime optimization
Capacity management and planning
Service management and incident response
Strong collaborative skills with the ability to partner and work effectively with global teams
Excellent problem-solving abilities and attention to detail
Strong communication skills to translate technical concepts for non-technical stakeholders
Preferred Qualifications
Advanced degree in Computer Science, Data Science, or related field
Experience with cloud-based Big Data platforms (AWS, Azure, or Google Cloud)
Knowledge of machine learning frameworks and AI/ML operations
Experience with real-time streaming data processing (Kafka, Flink, or similar technologies)
Background in retail or e-commerce data platforms
Experience with data governance and compliance frameworks
Previous leadership or mentoring experience in data engineering teams
Why Join arenaflex?
At arenaflex, we pride ourselves on fostering an inclusive, innovative, and growth-oriented work environment. As a Lead Big Data Engineer, you'll enjoy numerous benefits and opportunities:
Competitive Compensation
We offer a competitive salary of $28/hour (with flexibility based on experience and qualifications), comprehensive benefits package, and opportunities for performance-based bonuses and equity participation.
Professional Development
Continuous learning is at the heart of our culture. You'll have access to industry-leading training programs, certifications, and conference attendance opportunities. We invest in your growth through mentorship programs and tuition reimbursement for advanced degrees.
Work-Life Balance
We understand that great work requires balance. Enjoy flexible working hours, generous paid time off, parental leave, and the option for hybrid or remote work arrangements depending on your role and location.
Cutting-Edge Technology
Work with the latest Big Data technologies and tools. We provide state-of-the-art hardware, software licenses, and cloud infrastructure to ensure you have everything you need to succeed.
Inclusive Culture
Join a diverse team that values different perspectives and backgrounds. arenaflex is committed to creating an environment where everyone feels welcomed, respected, and empowered to do their best work.
Career Advancement
With roles across data science, machine learning, analytics, and engineering, your career path at arenaflex is limited only by your ambition. We support internal mobility and leadership development programs to help you reach your full potential.
Work Environment
You'll be joining our Information Science and Engineering team in Minnesota, USA, with flexibility for remote or hybrid work arrangements. Our modern offices feature collaborative spaces, state-of-the-art technology, and amenities designed to support your wellbeing and productivity. You'll work alongside passionate colleagues who share your commitment to innovation and excellence.
Our team culture emphasizes collaboration, continuous learning, and the pursuit of technical excellence. Regular team meetings, knowledge-sharing sessions, and cross-functional projects ensure you stay connected and informed while working on challenging problems that push the boundaries of what's possible with data.
How to Apply
If you're ready to take the next step in your career and join a team that's transforming the way enterprises leverage data, we encourage you to apply today. We welcome candidates who are passionate about Big Data engineering and eager to make an impact.
arenaflex is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Note: In accordance with the Americans with Disabilities Act (ADA), arenaflex will provide reasonable accommodations to qualified individuals with disabilities during the application process, upon request.
Don't miss this exciting opportunity to shape the future of data engineering at arenaflex. Apply now and become part of a team that's defining the next generation of data-driven solutions!
Join arenaflex as a Lead Big Data Engineer
Are you ready to transform the way a global enterprise harnesses the power of data? At arenaflex, we're on a mission to revolutionize how data drives decision-making across every facet of our business. We're looking for a talented and motivated Lead Big Data Engineer to join our Information Science and Engineering team and help us build the next generation of data platforms that power innovation at scale.
At arenaflex, we believe that data is the cornerstone of modern retail and enterprise excellence. With massive amounts of information flowing through our systems every second, we need visionary engineers who can design, build, and optimize the infrastructure that turns raw data into actionable insights. This is your opportunity to work with cutting-edge technologies and make a tangible impact on how millions of customers experience our brand.
About the Role
As a Lead Big Data Engineer at arenaflex, you'll be at the forefront of our data engineering initiatives, responsible for developing high-performance, distributed computing solutions that process enormous volumes of data in real-time. You'll work alongside talented data scientists, analysts, and engineers to build the algorithms and platforms that drive critical business decisions across marketing, supply chain optimization, enterprise security, and personalized customer experiences.
This role offers the unique opportunity to leverage arenaflex's unparalleled data resources to create solutions that directly impact our business operations and customer satisfaction. You'll be challenged to think creatively, solve complex problems, and continuously improve our data infrastructure to meet the evolving demands of our enterprise.
Key Responsibilities
Architect and develop high-performance distributed computing systems using Big Data technologies including Hadoop, NoSQL databases, text mining frameworks, and other distributed environment technologies
Design, program, debug, and modify software developments and new products used in distributed, large-scale analysis solutions
Define software architecture to ensure that all solutions are built within a consistent, scalable framework
Participate in architectural decision-making processes related to the selection of optimal software solutions
Implement models to manage web-scale data and its organization efficiently
Develop strategies that inform data design and architecture in alignment with enterprise standards
Create and maintain documentation that ensures consistency in development practices across the organization
Implement and improve core programming infrastructure to support enterprise-wide data operations
Develop interactive dashboards, reports, and analysis templates that provide valuable business insights
Implement and enforce platforms that provide ad-hoc access to large datasets for business users
Translate key requirements into effective solutions that meet business objectives
Provide consultation on complex projects and technical challenges
Review and approve specifications to ensure consistency in approach and usage
Act as a technical and business resource for software teams on a range of design issues
Perform systems and applications performance characterization and compromise studies through analysis and simulation
Research and implement improvements in coding standards and best practices
Essential Qualifications
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Broad understanding of software development principles and design patterns
Proficiency in at least one of the following programming languages: Java, Scala, or Python
Hands-on experience with Big Data technologies such as Hadoop, Spark, Druid, and related distributed computing frameworks
Demonstrated ability to collaborate with teams and partners to improve the overall operational maturity of Big Data ecosystems
Extensive experience with operational aspects of complete Big Data platforms including:
Monitoring and alert management
System availability and uptime optimization
Capacity management and planning
Service management and incident response
Strong collaborative skills with the ability to partner and work effectively with global teams
Excellent problem-solving abilities and attention to detail
Strong communication skills to translate technical concepts for non-technical stakeholders
Preferred Qualifications
Advanced degree in Computer Science, Data Science, or related field
Experience with cloud-based Big Data platforms (AWS, Azure, or Google Cloud)
Knowledge of machine learning frameworks and AI/ML operations
Experience with real-time streaming data processing (Kafka, Flink, or similar technologies)
Background in retail or e-commerce data platforms
Experience with data governance and compliance frameworks
Previous leadership or mentoring experience in data engineering teams
Why Join arenaflex?
At arenaflex, we pride ourselves on fostering an inclusive, innovative, and growth-oriented work environment. As a Lead Big Data Engineer, you'll enjoy numerous benefits and opportunities:
Competitive Compensation
We offer a competitive salary of $28/hour (with flexibility based on experience and qualifications), comprehensive benefits package, and opportunities for performance-based bonuses and equity participation.
Professional Development
Continuous learning is at the heart of our culture. You'll have access to industry-leading training programs, certifications, and conference attendance opportunities. We invest in your growth through mentorship programs and tuition reimbursement for advanced degrees.
Work-Life Balance
We understand that great work requires balance. Enjoy flexible working hours, generous paid time off, parental leave, and the option for hybrid or remote work arrangements depending on your role and location.
Cutting-Edge Technology
Work with the latest Big Data technologies and tools. We provide state-of-the-art hardware, software licenses, and cloud infrastructure to ensure you have everything you need to succeed.
Inclusive Culture
Join a diverse team that values different perspectives and backgrounds. arenaflex is committed to creating an environment where everyone feels welcomed, respected, and empowered to do their best work.
Career Advancement
With roles across data science, machine learning, analytics, and engineering, your career path at arenaflex is limited only by your ambition. We support internal mobility and leadership development programs to help you reach your full potential.
Work Environment
You'll be joining our Information Science and Engineering team in Minnesota, USA, with flexibility for remote or hybrid work arrangements. Our modern offices feature collaborative spaces, state-of-the-art technology, and amenities designed to support your wellbeing and productivity. You'll work alongside passionate colleagues who share your commitment to innovation and excellence.
Our team culture emphasizes collaboration, continuous learning, and the pursuit of technical excellence. Regular team meetings, knowledge-sharing sessions, and cross-functional projects ensure you stay connected and informed while working on challenging problems that push the boundaries of what's possible with data.
How to Apply
If you're ready to take the next step in your career and join a team that's transforming the way enterprises leverage data, we encourage you to apply today. We welcome candidates who are passionate about Big Data engineering and eager to make an impact.
arenaflex is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Note: In accordance with the Americans with Disabilities Act (ADA), arenaflex will provide reasonable accommodations to qualified individuals with disabilities during the application process, upon request.
Don't miss this exciting opportunity to shape the future of data engineering at arenaflex. Apply now and become part of a team that's defining the next generation of data-driven solutions!