Data Operations Analytics Engineering Specialist – Enterprise Data Warehouse & Big Data Integration

Join arenaflex as a Data Operations Analytics Engineering Specialist

Are you ready to make a meaningful impact in the world of data-driven innovation? At arenaflex, we believe that data is more than just numbers—it's the foundation of transformation, the catalyst for breakthrough discoveries, and the key to solving some of humanity's most complex challenges. As a Data Operations Analytics Engineering Specialist, you'll play a pivotal role in shaping how we ingest, transform, and deliver high-quality data that powers critical business decisions across our global enterprise.

arenaflex is a forward-thinking organization committed to leveraging data as a strategic asset. We foster a culture of curiosity, collaboration, and continuous learning, where every team member is empowered to push boundaries and contribute to meaningful projects that make a real difference. If you're passionate about data engineering, analytics, and driving operational excellence, we invite you to explore this exciting opportunity.

About the Role

As a Data Operations Analytics Engineering Specialist at arenaflex, you will be at the forefront of our data infrastructure transformation. This role offers a unique chance to work with some of the most innovative and diverse talent globally, collaborating on initiatives that shape the future of enterprise data management. You'll be responsible for driving data ingestion into our enterprise data warehouse, implementing best-practice data modeling strategies, and ensuring the highest standards of data quality and governance.

This position is ideal for a data professional who thrives in a dynamic environment, enjoys solving complex challenges, and wants to contribute to building scalable, efficient data systems that support broader analytics and business intelligence objectives.

Key Responsibilities

As an integral member of our Data Operations team, you will be entrusted with the following critical responsibilities:

• Lead Data Ingestion Initiatives: Design, develop, and maintain robust data ingestion pipelines that efficiently transfer data from diverse sources into our enterprise data warehouse, ensuring scalability, reliability, and performance.


• Implement Data Modeling Best Practices: Create and enforce domain-specific data models that align with business requirements, ensuring data consistency, accessibility, and usability across the organization.


• Establish Data Quality Standards: Develop and uphold comprehensive data quality frameworks and governance policies, implementing monitoring mechanisms to identify, address, and prevent data quality issues.


• Drive Performance Optimization: Continuously evaluate and enhance the performance and scalability of data design and engineering solutions, optimizing query execution and processing efficiency.


• Support Analytics Engineering Teams: Collaborate closely with analytics engineering teams to ensure our data platform fully meets their requirements, providing technical guidance and solutions that enable advanced analytics and reporting.


• Foster Cross-Functional Collaboration: Engage with stakeholders across departments to understand data requirements, facilitate knowledge sharing, and deliver data solutions that align with business objectives.


• Manage Third-Party Relationships: Oversee vendor and partner relationships that support data projects, evaluating tools, technologies, and services to ensure optimal value and integration.

Essential Qualifications

To set you up for success from day one, arenaflex seeks candidates who meet the following minimum requirements:

• Educational Background: Bachelor's degree or higher from an accredited institution, completed and verified prior to the start date. Degrees in Computer Science, Information Systems, Data Science, Engineering, or related fields are highly preferred.


• Professional Experience: A minimum of 2 years of combined experience in data or analytics engineering within a private sector, public sector, government, or military environment. This experience should demonstrate your ability to design, develop, and maintain data solutions in complex organizational contexts.

Preferred Qualifications & Skills

While the following qualifications are not mandatory, they would significantly enhance your effectiveness in this role and accelerate your success at arenaflex:

• Data Analysis Expertise: Strong foundational knowledge of data analysis concepts, statistical analysis methodologies, and data modeling techniques, with the ability to apply these principles to real-world business scenarios.


• Integration Tool Proficiency: Hands-on experience with modern data integration platforms and workflow management tools such as IICS (Informatica Intelligent Cloud Services), Apache Airflow, Oozie, or DBt (Data build Tool). Familiarity with ETL/ELT processes and data pipeline orchestration is highly valued.


• Big Data Technologies: Experience working with big data technologies and distributed computing frameworks such as Apache Hadoop, Spark, Kafka, or cloud-based data platforms (AWS, Azure, GCP data services).


• Problem-Solving Abilities: Exceptional analytical and problem-solving skills, with the capacity to navigate complex data challenges, troubleshoot issues efficiently, and work effectively with large, intricate datasets.


• Communication & Collaboration: Excellent verbal and written communication skills, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively with diverse teams and partners.


• Data Governance Knowledge: Understanding of data governance principles, data privacy regulations (such as GDPR, CCPA), and best practices for maintaining data security and compliance.


• Cloud Platform Experience: Familiarity with cloud-based data architectures and services, including data lakes, data warehouses, and serverless computing environments.

Career Growth & Learning Opportunities

At arenaflex, we are deeply invested in the professional development and career growth of our team members. As a Data Operations Analytics Engineering Specialist, you'll have access to a wide range of opportunities to expand your skills, advance your career, and make a lasting impact:

• Professional Development: Comprehensive training programs, certifications, and workshops to enhance your technical expertise in data engineering, cloud technologies, and analytics methodologies.


• Career Advancement: Clear pathways for progression within the organization, with opportunities to take on senior technical roles, lead specialized teams, or transition into architecture and strategy positions.


• Cross-Functional Exposure: The chance to collaborate with teams across various business units, gaining a holistic understanding of how data drives decision-making throughout the enterprise.


• Innovation Initiatives: Access to hackathons, innovation labs, and research projects that allow you to explore emerging technologies and contribute to cutting-edge solutions.


• Mentorship Programs: Guidance from experienced leaders and mentors who are committed to helping you achieve your career aspirations.

Work Environment & Culture

arenaflex fosters an inclusive, collaborative, and intellectually stimulating work environment where diversity is celebrated, and every voice matters. We believe that diverse perspectives drive innovation and excellence. Our culture is built on the following core values:

• Innovation: We encourage creative thinking and experimentation, rewarding teams that challenge conventions and pursue groundbreaking solutions.


• Integrity: We operate with transparency, accountability, and ethical standards in all aspects of our work.


• Inclusion: We cultivate an environment where everyone feels valued, respected, and empowered to contribute their best.


• Collaboration: We believe that the best outcomes emerge from teamwork, open communication, and mutual support.


• Work-Life Balance: We support the well-being of our team members through flexible work arrangements, comprehensive benefits, and programs that promote physical, mental, and emotional health.

Compensation & Benefits

arenaflex is committed to providing competitive compensation and a comprehensive benefits package that recognizes your contributions and supports your well-being:

• Competitive Hourly Rate: $24 per hour, with opportunities for performance-based adjustments and bonuses.


• Health & 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 financial security for the future.


• Paid Time Off: Generous paid vacation, sick leave, and holidays to support work-life balance.


• Professional Development: Tuition reimbursement, certification sponsorship, and access to online learning platforms.


• Employee Assistance Program: Confidential support services for personal and professional challenges.


• Flexible Work Arrangements: Options for remote work and flexible scheduling to accommodate diverse needs and preferences.

Location

This position is based in Clarksville, USA. arenaflex offers flexible work arrangements, and we are open to discussing remote or hybrid options that align with our operational needs and your personal preferences.

Join Us

If you're ready to take the next step in your data engineering career and make a meaningful impact at an organization that values innovation, integrity, and inclusion, we encourage you to apply for this exciting opportunity. At arenaflex, you'll find more than just a job—you'll find a community of passionate professionals dedicated to transforming the world through the power of data.

Don't miss this chance to grow your skills, advance your career, and contribute to meaningful work that matters. Apply today and become part of the arenaflex team!

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