Remote Data Engineer – Cyber Security & ML/AI Specialist – Data Warehouse & Analytics – $33‑40 /hr – arenaflex

About arenaflex

arenaflex is a leading financial services organization that is redefining how data fuels security, innovation, and customer trust. With a legacy of more than a century in banking and a forward‑looking commitment to technology, arenaflex blends deep industry expertise with cutting‑edge machine learning, artificial intelligence, and cyber‑security practices. Our mission is to protect millions of consumers while delivering seamless, secure digital experiences. As a remote‑first employer, arenaflex empowers talent across the United States to work from anywhere, fostering a culture of flexibility, collaboration, and continuous learning.

Why This Role Matters

In today’s hyper‑connected world, cyber threats evolve at a breakneck pace. arenaflex’s Cyber ML/AI team is at the forefront of detecting anomalies, safeguarding consumer data, and strengthening the overall security posture. As a Remote Data Engineer on this team, you will design, build, and maintain data pipelines that ingest, transform, and analyze massive volumes of security‑related logs, transaction records, and user activity streams. Your work will directly influence how arenaflex identifies suspicious behavior, prevents fraud, and complies with stringent regulatory standards.

Key Responsibilities

• Design, develop, and optimize scalable data warehouse schemas across multiple relational and NoSQL databases to support cyber‑security analytics.
• Collaborate with data scientists, security analysts, and product owners to translate business requirements into robust data pipelines and ETL processes.
• Implement automated data quality checks, monitoring, and alerting mechanisms to ensure the integrity of security‑focused datasets.
• Analyze complex data governance challenges, propose pragmatic solutions, and document best practices for data handling, retention, and compliance.
• Produce clear, actionable documentation and visualizations (PowerBI, Tableau, Splunk) that communicate findings to both technical and non‑technical stakeholders.
• Stay current with emerging cyber‑security threats, machine‑learning techniques, and industry regulations to continuously improve data‑driven detection capabilities.
• Mentor junior engineers and contribute to a culture of knowledge sharing through code reviews, brown‑bag sessions, and internal tech talks.
• Participate in cross‑functional agile ceremonies, providing estimates, status updates, and risk assessments for data‑related deliverables.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
• Minimum 2 years of professional data engineering experience, demonstrated through work history, internships, military service, or relevant projects.
• Proficiency in Python (or Java/C#) for building data pipelines, scripting, and automation.
• Solid understanding of relational databases (SQL Server, PostgreSQL, MySQL) and experience with schema design for large‑scale data warehouses.
• Ability to work independently in a remote environment, manage priorities, and meet deadlines without direct supervision.
• Legal authorization to work in the United States without the need for visa sponsorship now or in the future.

Preferred (Desired) Qualifications

• At least 1 year of data analysis experience within the financial services sector, preferably focused on security or fraud detection.
• Exposure to cyber‑security concepts such as threat modeling, log analysis, and anomaly detection.
• Hands‑on experience with visualization tools like PowerBI, Tableau, or Splunk to create dashboards that surface security insights.
• Experience building end‑to‑end data pipelines that ingest from diverse sources (databases, RESTful APIs, streaming platforms).
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern data orchestration frameworks (Airflow, Prefect, Dagster).
• Knowledge of data‑privacy regulations (GDPR, CCPA) and how they impact data handling in a security context.

Core Skills & Competencies

• Analytical mindset: Ability to dissect large, complex datasets and uncover hidden patterns that indicate security risks.
• Problem‑solving: Comfortable tackling ambiguous challenges, researching solutions, and making data‑driven decisions.
• Communication: Strong written and verbal skills to convey technical concepts to business partners, senior leadership, and external auditors.
• Collaboration: Proven track record of working effectively with cross‑functional teams, including security engineers, product managers, and compliance officers.
• Adaptability: Thrive in a fast‑moving environment where priorities shift based on emerging threats and regulatory changes.
• Attention to detail: Commitment to data accuracy, security best practices, and meticulous documentation.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate ranging from $33 to $40 based on experience and expertise. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:

• Robust 401(k) retirement plan with company matching.
• Generous Paid Time Off (PTO) and holiday schedule to support work‑life balance.
• Family‑friendly policies such as Parental Leave, Critical Caregiver Leave, and adoption assistance.
• Comprehensive health, dental, and vision insurance for you and eligible dependents.
• Flexible commuter benefits and remote‑work stipends.
• Continuous learning support through tuition reimbursement, scholarships for dependent children, and professional development budgets.
• Employee discounts, wellness programs, and access to mental‑health resources.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by your ambition. As a Remote Data Engineer, you will have access to:

• Mentorship from senior data scientists and security architects who are industry thought leaders.
• Opportunities to lead high‑impact projects that directly influence the organization’s security strategy.
• Cross‑training programs that broaden your expertise in cloud engineering, machine learning, and regulatory compliance.
• Internal mobility pathways that allow you to transition into roles such as Security Analyst, Data Science Lead, or Architecture Manager.
• Participation in industry conferences, hackathons, and certification programs (e.g., CISSP, AWS Certified Data Analytics).

Work Environment & Culture at arenaflex

arenaflex prides itself on an inclusive, collaborative, and innovative culture. Our remote‑first philosophy means you can work from any location in the United States while staying connected through virtual collaboration tools, regular team‑wide town halls, and quarterly in‑person meet‑ups. We value diversity of thought, encourage open dialogue, and celebrate achievements through recognition programs. Employees describe the atmosphere as:

• Empowering: You are trusted to own your projects and make meaningful decisions.
• Supportive: Managers provide regular feedback, coaching, and resources to help you succeed.
• Dynamic: The fast‑paced nature of cyber‑security keeps the work exciting and continuously evolving.
• Purpose‑driven: Knowing that your data engineering efforts protect real people’s financial well‑being adds a deep sense of purpose.

Application Process

If you are passionate about data, security, and leveraging advanced analytics to protect millions of customers, arenaflex wants to hear from you. To apply, click the link below, submit your resume, and include a brief cover letter highlighting your most relevant experience in data engineering and cyber‑security.

Apply Now – Join arenaflex

Closing Statement

arenaflex is committed to building a diverse workforce that reflects the communities we serve. We encourage candidates of all backgrounds to apply. Take the next step in your career and become a pivotal part of a team that is shaping the future of secure financial services. Your expertise can make a tangible difference—apply today and start your journey with arenaflex.