Experienced Data Engineer – Operations Analytics & Business Intelligence (Remote/WFH)

About arenaflex

Welcome to arenaflex, where data-driven innovation meets operational excellence. In today's rapidly evolving digital landscape, organizations that harness the power of data effectively gain a significant competitive advantage. At arenaflex, we believe that data is more than just numbers—it's the foundation of strategic decision-making, operational optimization, and continuous improvement. Our mission is to transform raw information into actionable insights that drive meaningful business outcomes.

TheOperations Analytics division at arenaflexplays a pivotal role in supporting our commitment to excellence. We provide strategic insights by first understanding enterprise processes and then leveraging data and analytics to fuel continuous development efforts. Data has fundamentally transformed the way we operate, and the role of a data engineer is central to harnessing this power by making information accessible, available, and curated for reporting and evaluation.

As a Data Engineer joining our Operations Analysis and Performance (OAP) department, you will become part of a dynamic team responsible for curating Single Source of Truth data tables, generating and distributing automatic reporting in a modular and scalable manner, leading efforts to transition to modern data and reporting tools, and serving as a center of excellence for efficient data processing and control.

What You'll Do

We are seeking a talented and motivated Data Engineer to join our remote team. In this role, you will be responsible for transforming complex datasets into meaningful information that drives business decisions across the organization. Your technical expertise and analytical mindset will be crucial in supporting various business units and cross-divisional initiatives.

Key Responsibilities

• Data Extraction and Integration: Locate and extract information from multiple sources to be used in evaluation, models, and challenge development. You'll work with diverse data sources, understanding their structure and relationships to build comprehensive datasets.
• Data Curation and Cleaning: Clean and curate datasets by exploring new data assets and collaborating with other business units to determine the best source of information, aggregating perspectives into meaningful hierarchies that support strategic decision-making.
• Reporting Enhancement: Be familiar with data environments and collaborate to improve automatic reports and analyses in support of divisional leaders and business units, ensuring accuracy and timeliness of critical business information.
• Innovation and Technology: Leverage emerging technologies and proactively discover efficient and meaningful approaches to communicate data and analysis that fulfill divisional needs, staying ahead of industry trends and best practices.
• Project Support: Support strategy development and project management engagements for individual business units and cross-divisional initiatives, contributing to organization-wide success.
• Mentorship and Training: Train and mentor other team members in various skills and subjects, fostering a culture of continuous learning and knowledge sharing within the organization.
• Safety and Compliance: Practice safety-aware behaviors in all operational techniques and procedures, maintaining the highest standards of data integrity and security.
• Team Collaboration: Have a team-first mindset with the success of our team and business partners as the top priority, working collaboratively across departments to achieve common goals.
• Intellectual Curiosity: Be intellectually curious, ask questions, and communicate when you have an idea—contributing to a culture of innovation and continuous improvement.
• Dynamic Environment Adaptation: Thrive in high-profile environments with fluid priorities, ambiguity, and competitive deadlines, demonstrating adaptability and resilience under pressure.

What You Need to Succeed

Minimum Qualifications

• Experience: At least 3+ years of related experience in data engineering, analytics, or a similar technical role demonstrating progressive responsibility and technical growth.
• Technical Proficiency: Strong proficiency in SQL and ETL/ELT patterns, with the ability to write complex queries and understand data modeling concepts at an advanced level.
• Programming Skills: Proficiency with Python, SAS, or other comparable tools and programming languages, demonstrating the ability to manipulate, analyze, and transform large datasets effectively.
• Database Troubleshooting: Ability to troubleshoot a reporting database environment, identifying and resolving performance issues, data quality problems, and integration challenges.
• Attention to Detail: Strong attention to detail with the ability to work autonomously and manage multiple requests with various timelines, prioritizing effectively to meet competing deadlines.
• Problem-Solving Orientation: Self-starter with a resilient, solution-minded approach to complex problems, working independently or as part of a team to overcome challenges creatively.
• Safety Mindset: Consistently prioritizes safety and protection of self, others, and confidential data, maintaining compliance with all relevant regulations and organizational policies.
• Inclusive Mindset: Embraces diverse people, thinking, and styles, contributing to a positive and collaborative work environment where all team members can thrive.
• Education: Possesses a high school diploma, GED, or high school equivalency.
• Eligibility: Is at least 18 years of age and has authorization to work within the United States.

Preferred Qualifications

• Educational Background: Bachelor's degree or certificate in Computer Science, Engineering, Information Science, or other applicable quantitative field, demonstrating a solid foundation in technical principles.
• Industry Experience: Previous experience in operations analytics, transportation, logistics, or similar industries, providing context for understanding business processes and data requirements.
• Cloud Platform Expertise: Working knowledge of and/or experience with cloud-based solutions such as Azure, AWS, GCP, or other major cloud platforms, understanding cloud architecture and data storage solutions.

Skills and Competencies

To excel in this role, you should possess a combination of technical skills and interpersonal competencies that enable you to deliver value while collaborating effectively with diverse stakeholders.

• Technical Expertise: Deep knowledge of data warehousing concepts, ETL/ELT processes, and data pipeline architecture, with the ability to design and implement efficient data solutions.
• Analytical Thinking: Strong analytical skills with the ability to interpret complex data, identify patterns, and translate findings into actionable business recommendations.
• Communication Skills: Excellent verbal and written communication skills, capable of presenting technical concepts to both technical and non-technical audiences effectively.
• Project Management: Ability to manage multiple projects simultaneously, meeting deadlines while maintaining quality standards across all deliverables.
• Continuous Learning: Commitment to staying current with emerging technologies, industry trends, and best practices in data engineering and analytics.

Career Growth and Learning Opportunities

At arenaflex, we invest in the professional development of our team members. As a Data Engineer in our Operations Analytics division, you will have access to numerous opportunities for growth and advancement:

• Career Path Development: Clear progression pathways to senior technical roles, team lead positions, or specialized analytics domains based on your interests and performance.
• Training Programs: Access to comprehensive training resources, certifications, and professional development courses to enhance your technical skills and industry knowledge.
• Mentorship Opportunities: Both receive guidance from experienced mentors and mentor newer team members, fostering a culture of knowledge transfer and professional growth.
• Cross-Functional Exposure: Opportunities to work across different business units and departments, gaining a broad understanding of organizational operations and data needs.
• Industry Recognition: Chance to contribute to innovative projects that have real-world impact, building your portfolio and reputation within the industry.

Work Environment and Culture

Our remote work culture is built on trust, accountability, and results. We believe that great work can happen anywhere, and we provide the tools and support you need to succeed regardless of your physical location.

• Flexible Work Arrangements: Enjoy the flexibility of remote work while maintaining regular collaboration with your team through modern communication and project management tools.
• Inclusive Culture: We embrace diverse perspectives and create an environment where everyone feels valued, respected, and empowered to contribute their best work.
• Work-Life Balance: We understand the importance of balancing professional responsibilities with personal well-being, offering flexible schedules and supportive policies.
• Collaborative Environment: Work alongside talented professionals who are passionate about data, analytics, and driving business value through technology.
• Innovation Focus: Encourage creative problem-solving and innovation, where your ideas can make a meaningful impact on how we operate and serve our stakeholders.

Compensation and Benefits

We recognize that our people are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits that support your wellbeing and financial security.

• Competitive Salary: Attractive base salary commensurate with experience and qualifications, reviewed annually to ensure market competitiveness.
• Performance Bonuses: Annual performance-based bonuses that reward individual and organizational success.
• Health and Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans, along with wellness programs and resources.
• Retirement Plans: 401(k) retirement savings plan with company matching contributions to help you build long-term financial security.
• Paid Time Off: Generous paid time off policy that allows you to recharge and maintain work-life balance.
• Professional Development: Annual professional development budget for conferences, courses, certifications, and continuing education.
• Equipment Allowance: Stipend for home office setup, including ergonomic equipment and technology essentials.

Join Our Team

Are you ready to make an impact? We are looking for passionate, detail-oriented data professionals who thrive in dynamic environments and are excited about the opportunity to transform data into strategic insights. If you have the technical skills, analytical mindset, and collaborative spirit we're seeking, we encourage you to apply and become part of our team.

At arenaflex, we believe that great teams are built on diverse perspectives, shared values, and a commitment to excellence. Join us in our mission to deliver outstanding results through the power of data and analytics. Apply today and take the first step toward a rewarding career with endless possibilities for growth and development.