Senior Big Data Software Engineer – Part‑Time Remote – Advanced Hadoop, AWS & Data Engineering – $27/hr

About arenaflex – Pioneering Data‑Driven Innovation

arenaflex is a global leader in financial services and technology, renowned for delivering secure, reliable, and innovative solutions to millions of customers worldwide. Our mission is to empower people and businesses through data‑centric products that drive growth, efficiency, and trust. As part of our commitment to building a diverse and inclusive workforce, arenaflex embraces talent from every background, fostering a culture where curiosity, collaboration, and continuous learning thrive.

Why This Role Matters

In today’s data‑intensive landscape, the ability to collect, process, and analyze massive volumes of information is a strategic advantage. As a Senior Big Data Software Engineer at arenaflex, you will be at the heart of our data engineering ecosystem, shaping the architecture that powers critical business insights, risk management, and customer experiences. This part‑time, remote position offers a competitive rate of $27 per hour and the flexibility to balance professional growth with personal commitments.

Key Responsibilities

• Lead the design, development, and deployment of complex big‑data pipelines and services within a highly regulated financial environment.
• Architect scalable solutions using Hadoop, Spark, and related technologies to ingest, transform, and store petabytes of structured and unstructured data.
• Collaborate with data scientists, product owners, and compliance teams to translate business requirements into robust technical specifications.
• Write clean, maintainable code in Python, Scala, and Java; develop shell scripts for automation and orchestration.
• Implement end‑to‑end ETL processes, leveraging tools such as Apache NiFi, Airflow, and AWS Glue to move data from legacy systems (SQL Server, Oracle) to modern data lakes.
• Configure, test, troubleshoot, and document solutions across the full technology stack, ensuring high availability and performance.
• Conduct deep‑dive technical analyses of complex problems, providing actionable recommendations and leading remediation efforts.
• Mentor junior engineers, sharing best practices in code reviews, testing, and continuous integration/continuous deployment (CI/CD) pipelines.
• Participate in agile ceremonies, sprint planning, and retrospectives to continuously improve delivery velocity and quality.
• Maintain compliance with industry regulations (e.g., GDPR, PCI‑DSS) by embedding security controls and audit trails into data workflows.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Minimum 3 years of professional software development experience, demonstrated through work, internships, military service, or academic projects.
• Proven expertise with Hadoop ecosystem components (HDFS, MapReduce, Hive, Pig) and hands‑on experience building large‑scale data pipelines.
• Strong background in Teradata and MongoDB for data warehousing and NoSQL storage.
• Extensive experience with AWS services (S3, EMR, Redshift, Lambda) and infrastructure‑as‑code tools such as Terraform or CloudFormation.
• Proficiency with version control systems, specifically GitHub and Bitbucket, including branching strategies and pull‑request workflows.
• Solid programming skills in Python, Scala, and Unix/Shell scripting; familiarity with Java is a plus.
• Experience with streaming platforms (Kafka, Flume, Oozie) and real‑time processing frameworks.
• Hands‑on knowledge of configuration management tools such as Ansible for automated deployments.

Preferred Qualifications & Additional Skills

• Experience designing and optimizing ETL pipelines using SQL Server Integration Services (SSIS) and data transformation tools.
• Background in financial services, risk analytics, or compliance‑focused data projects.
• Strong verbal and written communication abilities, capable of presenting technical concepts to both technical and non‑technical stakeholders.
• Demonstrated ability to thrive in a collaborative, fast‑paced environment with a proactive, solution‑oriented mindset.
• Knowledge of data governance frameworks and data quality best practices.
• Certifications such as AWS Certified Solutions Architect, Cloudera Certified Professional, or similar are advantageous.

Core Competencies for Success

• Analytical Thinking: Ability to dissect complex data problems, identify root causes, and devise scalable solutions.
• Leadership: Guide cross‑functional teams, mentor junior engineers, and influence technical direction.
• Collaboration: Work closely with product managers, data scientists, and compliance officers to align engineering outcomes with business goals.
• Adaptability: Quickly learn emerging technologies and integrate them into existing architectures.
• Attention to Detail: Ensure data integrity, security, and compliance throughout the development lifecycle.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. As a senior engineer, you will have access to:

• Mentorship programs pairing you with industry veterans and technology leaders.
• Sponsored certifications and training courses in cloud platforms, big‑data technologies, and data science.
• Opportunities to lead high‑visibility projects that directly impact the company’s strategic direction.
• Cross‑departmental rotations to broaden your expertise in risk management, fraud detection, and customer analytics.
• Regular knowledge‑sharing sessions, hackathons, and internal tech conferences.

Work Environment & Culture at arenaflex

Our remote‑first policy empowers you to work from anywhere in the United States while staying connected through state‑of‑the‑art collaboration tools. arenaflex fosters an inclusive culture where diverse perspectives are celebrated, and every voice matters. Key cultural pillars include:

• Integrity: Upholding the highest ethical standards in all interactions.
• Innovation: Encouraging experimentation and continuous improvement.
• Customer‑Centricity: Delivering solutions that create real value for our clients.
• Collaboration: Building strong, supportive teams that share knowledge freely.
• Well‑Being: Providing resources for mental health, work‑life balance, and professional growth.

Compensation, Perks & Benefits

While this role is part‑time and compensated at $27 per hour, arenaflex offers a comprehensive benefits package that includes:

• Flexible scheduling to accommodate personal commitments.
• Access to a robust health, dental, and vision insurance plan (eligible employees).
• Retirement savings options with company matching contributions.
• Paid time off, holidays, and sick leave.
• Employee assistance programs, wellness resources, and virtual fitness classes.
• Professional development stipend for courses, conferences, and certifications.
• Technology allowance for home office setup (e.g., ergonomic chair, monitor, high‑speed internet).

Commitment to Diversity, Equity & Inclusion

arenaflex believes that a diverse workforce fuels innovation. We welcome applicants of all races, ethnicities, genders, sexual orientations, ages, abilities, religions, and veteran statuses. Our recruitment process is designed to be fair, transparent, and free from bias. We are proud to be an equal‑opportunity employer.

How to Apply

If you are passionate about big‑data engineering, thrive in a collaborative remote environment, and are ready to make a tangible impact on a leading financial technology organization, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining your relevant experience.

Apply Now – Join arenaflex Today!

Take the Next Step

At arenaflex, your expertise will shape the future of data‑driven decision making. Join a team that values curiosity, embraces challenges, and rewards innovation. Apply today and start your journey with a company that invests in your success.