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Join arenaflex as a Data Engineer in Cyber Security & AI/ML
Are you ready to make a meaningful impact in the fight against cyber threats while working with cutting-edge machine learning and artificial intelligence technologies? arenaflex is seeking talented and motivated Data Engineers to join our dynamic Cyber ML/AI team. This is a unique opportunity to leverage your technical expertise in data engineering, Python programming, and cybersecurity analytics to help protect millions of customers and strengthen our organization's security posture.
At arenaflex, we believe that data is the backbone of modern cybersecurity. The volume, velocity, and variety of security data generated daily present both challenges and opportunities. Our Cyber ML/AI team is at the forefront of developing innovative solutions to detect anomalies, identify suspicious patterns, and prevent cybersecurity breaches before they occur. As a Data Engineer on this team, you will play a critical role in building the data infrastructure that powers these advanced security analytics.
About the Role
As a Data Engineer specializing in Cyber Security at arenaflex, you will be responsible for designing, building, and maintaining data pipelines that process vast amounts of security-related information. Your work will focus specifically on analyzing consumer activity and logon information to identify cybersecurity anomalies within our existing security data landscape. This position requires a unique blend of technical data engineering skills, cybersecurity domain knowledge, and the ability to collaborate effectively with cross-functional teams.
You will work alongside talented engineers, data scientists, and cybersecurity experts to develop robust data solutions that enhance our overall security posture. The ideal candidate thrives in a fast-paced environment, enjoys solving complex data challenges, and is passionate about contributing to organizational security initiatives.
Key Responsibilities
- Data Pipeline Development: Design, develop, and maintain scalable data engineering pipelines that process data from multiple sources, including databases, APIs, log files, and real-time data streams. Ensure data quality, integrity, and availability for cybersecurity analytics.
- Schema Design & Optimization: Analyze data warehouse structures across multiple databases and identify opportunities to improve table schemas, data models, and processing efficiency. Optimize queries and data flows to support high-performance analytics.
- Cybersecurity Data Analysis: Examine consumer activity and logon information to detect patterns and anomalies that may indicate security threats. Work with the ML/AI team to develop and refine detection algorithms.
- Business Intelligence & Reporting: Present findings and recommendations for resolving complex data management scenarios. Exercise independent judgment while developing expertise in business data policies, procedures, and compliance requirements.
- Cross-Functional Collaboration: Collaborate and consult with technology colleagues, internal partners, and stakeholders, including internal and external clients as applicable. Communicate technical concepts effectively to both technical and non-technical audiences.
- Research & Problem-Solving: Review and analyze business, operational, or technical assignments that require research, analysis, and selection of options. Guide medium-risk deliverables with minimal supervision.
- Documentation & Compliance: Maintain accurate documentation of data pipelines, schemas, and processes. Ensure adherence to data governance policies and regulatory compliance requirements.
Essential Qualifications
- Educational Background: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related technical field. An equivalent combination of education and relevant work experience may also be considered.
- Professional Experience: Minimum of 2+ years of Data Engineering experience, or equivalent demonstrated through a combination of work experience, training, military experience, or education.
- Technical Proficiency: Strong foundation in data engineering principles, including ETL processes, data warehousing, and database management.
Analytical Skills: Excellent problem-solving abilities with the capacity to analyze complex data challenges and develop effective solutions.
- Communication Skills: Strong verbal and written communication skills, with the ability to present technical information clearly to various audiences.
- Work Authorization: Must be currently authorized to work for any employer in the United States. This position is not eligible for visa sponsorship, and applicants must not require work visa sponsorship from arenaflex now or in the future to maintain their authorization to work in the United States.
Preferred Qualifications
While the following qualifications are not required, they would significantly strengthen your application and demonstrate your readiness for success in this role:
- Programming Expertise: Minimum of 2 years of Python programming experience, or proficiency in other high-level programming languages such as Java or C#. Experience with Python libraries commonly used in data science and machine learning (pandas, NumPy, scikit-learn) is highly valued.
- Financial Services Background: Minimum of 1 year of Data Analysis experience within the Financial Services industry. Understanding of banking operations, regulatory requirements, and financial data structures is advantageous.
- Cybersecurity Domain Knowledge: Minimum of 1 year of exposure to the Cyber Security field. Familiarity with security frameworks, threat intelligence, incident response, or security operations is beneficial.
- Visualization Tools: Experience working with data visualization tools such as PowerBI, Tableau, Splunk, or similar platforms. Ability to create meaningful visual representations of security data and analytics results.
- Data Pipeline Construction: Proven experience building data engineering pipelines for diverse data sources, including relational databases, NoSQL databases, REST APIs, and streaming data platforms.
- Cloud Platforms: Experience with cloud-based data platforms and services (AWS, Azure, or Google Cloud) is a plus.
- Machine Learning Basics: Familiarity with machine learning concepts and how they apply to cybersecurity anomaly detection.
Skills & Competencies Required for Success
To excel in this role at arenaflex, candidates should possess a diverse skill set that combines technical expertise with interpersonal and problem-solving abilities:
- Data Engineering Proficiency: Strong understanding of ETL processes, data modeling, and database design principles.
- Programming & Scripting: Solid coding skills in Python or comparable languages, with the ability to write efficient, maintainable code.
- Analytical Thinking: Strong analytical skills with the ability to interpret complex data and draw actionable insights.
- Attention to Detail: Meticulous approach to data quality and accuracy, recognizing the critical importance of reliable data in security applications.
- Self-Motivation & Initiative: Ability to work independently and take ownership of deliverables with minimal supervision.
- Team Collaboration: Strong interpersonal skills with the ability to work effectively in cross-functional teams.
- Adaptability: Comfortable working in a rapidly evolving technology landscape and willingness to learn new tools and techniques.
Career Growth Opportunities & Learning Benefits
At arenaflex, we are deeply committed to the professional development and career growth of our employees. This position offers numerous opportunities for advancement and skill development:
- Technical Advancement: Work with cutting-edge technologies in cybersecurity, machine learning, and big data engineering. Gain hands-on experience with industry-leading tools and platforms.
- Career Pathways: As you grow in your role, you will have opportunities to advance into senior Data Engineer positions, Data Architect roles, or specialize in areas such as Machine Learning Engineering or Cybersecurity Analytics.
- Continuous Learning: arenaflex supports ongoing education through tuition reimbursement programs, online courses, and professional certification sponsorship.
- Mentorship Programs: Benefit from mentorship opportunities with senior engineers and leaders in the cybersecurity field.
- Industry Exposure: Gain valuable experience in the financial services industry, one of the most regulated and security-conscious sectors.
- Innovation Culture: Participate in hackathons, innovation labs, and technology councils that drive arenaflex's technological advancement.
Work Environment & Company Culture
arenaflex is more than just a workplace – we are a community of dedicated professionals committed to excellence in everything we do. Our culture is built on integrity, innovation, and inclusivity. We believe that diverse perspectives and backgrounds strengthen our organization and enable us to better serve our customers and communities.
As part of our Cyber ML/AI team, you will enjoy a collaborative environment that values creativity, critical thinking, and continuous improvement. We foster a culture where new ideas are welcomed, and employees are empowered to make meaningful contributions. Our hybrid work arrangement provides flexibility while maintaining the collaborative benefits of in-person teamwork.
We are proud to offer an environment where your technical skills can make a real difference in protecting customers and maintaining the trust that is foundational to our organization's mission. Join us and be part of a team that is shaping the future of cybersecurity through data-driven innovation.
Compensation, Perks & Benefits
arenaflex is committed to providing competitive compensation and a comprehensive benefits package designed to support your physical and financial well-being. We recognize that our employees are our most valuable asset, and we strive to offer packages that help you achieve your personal and professional goals.
- Competitive Salary: This position offers an hourly rate of $33-40 per hour, commensurate with experience and qualifications.
- 401(k) Retirement Plan: Comprehensive retirement savings plan with company matching contributions to help you build your financial future.
- Paid Time Off: Generous paid time off policy that allows you to recharge and maintain work-life balance.
- Parental Leave: Supportive parental leave policies for new parents, including paid leave for mothers, fathers, and adoptive parents.
- Critical Caregiving Leave: Flexible leave options for employees caring for family members with serious health conditions.
- Health Benefits: Comprehensive health insurance coverage including medical, dental, and vision plans.
- Employee Discounts & Savings: Access to exclusive discounts on products, services, and entertainment.
- Commuter Benefits: Programs to support your daily commute, including transit benefits and parking options.
- Tuition Reimbursement: Financial support for continuing education and professional development.
- Scholarships for Dependents: Educational scholarship programs for the children of arenaflex employees.
- Adoption Reimbursement: Financial assistance for adoption-related expenses.
- Wellness Programs: Resources and programs designed to support your physical, mental, and emotional well-being.
Why Join arenaflex?
There has never been a more exciting time to join the cybersecurity field, and arenaflex is the perfect place to launch or advance your career. By joining our Cyber ML/AI team, you will:
- Contribute to meaningful work that directly impacts the security and protection of millions of customers.
- Work with cutting-edge technologies and methodologies in a rapidly evolving field.
- Collaborate with talented professionals who share your passion for cybersecurity and data science.
- Build a diverse skill set that will serve you throughout your career.
- Enjoy competitive compensation, comprehensive benefits, and opportunities for advancement.
- Be part of an organization that values integrity, innovation, and inclusivity.
Apply Today
We are actively seeking talented individuals who are ready to make a difference. If you have a passion for data engineering, an interest in cybersecurity, and the drive to contribute to innovative security solutions, we encourage you to apply for this exciting opportunity at arenaflex.
This is your chance to join a team that is solving tomorrow's cybersecurity challenges today. Take the next step in your career and become part of the arenaflex family.
Note: arenaflex is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic. All employment decisions are based on qualifications, merit, and business needs.