Remote Data Engineer – Information Pipeline Architecture & Management at arenaflex – $28/hr

About arenaflex

arenaflex is a pioneering leader in artificial intelligence research and product development, dedicated to building safe, human‑centered AI that benefits everyone. Our mission‑driven culture blends cutting‑edge technology with a deep sense of responsibility, fostering an environment where bold ideas thrive and ethical considerations guide every decision. As a remote‑first organization with a global footprint, arenaflex empowers its employees to work from anywhere while staying tightly connected to a collaborative, high‑impact team.

Why This Role Matters

At arenaflex, data is the lifeblood of every product, research initiative, and strategic decision. As a Data Engineer, you will be at the forefront of building and maintaining the information pipelines that power our AI models, drive product insights, and safeguard the integrity of our data ecosystem. Your work will directly influence how our engineers, product managers, and business leaders make data‑driven choices that shape the future of AI.

Key Responsibilities

• Design, build, and operate robust data pipelines that ingest, transform, and store large volumes of user event data with high reliability and low latency.
• Develop and maintain data warehouses (e.g., Snowflake, Redshift) and data lakes (e.g., S3, HDFS) to ensure data is readily accessible for analytics, machine‑learning, and reporting.
• Collaborate cross‑functionally with research, product, security, finance, and marketing teams to understand data requirements and deliver tailored solutions.
• Implement scalable ETL/ELT workflows using modern orchestration tools such as Airflow, Dagster, or Prefect, ensuring pipelines are fault‑tolerant and well‑monitored.
• Enforce data governance standards, guaranteeing data quality, consistency, and compliance with industry regulations and arenaflex’s internal policies.
• Optimize performance of data processing jobs on distributed frameworks like Hadoop, Spark, Flink, and ensure cost‑effective use of cloud resources.
• Participate in data modeling and schema design, translating business metrics into reliable, query‑able structures.
• Mentor junior engineers and contribute to the continuous improvement of engineering best practices within the data team.
• Stay current with emerging technologies and propose innovative solutions that keep arenaflex at the cutting edge of data engineering.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 3+ years of professional experience in data engineering or a closely related role.
• Proficiency in at least one programming language commonly used in data engineering, such as Python, Scala, or Java.
• Hands‑on experience with distributed processing platforms (e.g., Hadoop, Spark, Flink) and storage systems (e.g., HDFS, Amazon S3).
• Demonstrated ability to design, implement, and maintain ETL pipelines using orchestration tools like Airflow, Dagster, or similar.
• Strong understanding of data modeling, schema design, and data warehousing concepts.
• Experience with cloud platforms (AWS, GCP, Azure) and familiarity with security best practices for data handling.
• Excellent problem‑solving skills, with a track record of troubleshooting complex data pipelines and optimizing performance.

Preferred Qualifications

• Master’s degree or advanced coursework in data science, big data analytics, or related fields.
• Experience working in AI‑focused environments, particularly with large language models or generative AI.
• Knowledge of streaming data technologies (e.g., Kafka, Kinesis) and real‑time analytics.
• Familiarity with data governance frameworks such as GDPR, CCPA, or ISO 27001.
• Previous exposure to collaborative product development cycles, working closely with data scientists and product managers.
• Contributions to open‑source data engineering projects or active participation in the data community.

Core Skills & Competencies

• Technical Acumen: Deep understanding of data architecture, pipeline design, and cloud infrastructure.
• Analytical Mindset: Ability to translate ambiguous business problems into concrete data solutions.
• Communication: Clear articulation of technical concepts to non‑technical stakeholders.
• Collaboration: Proven experience working in multidisciplinary teams and fostering a culture of shared ownership.
• Adaptability: Comfort with fast‑paced environments and evolving priorities.
• Integrity: Commitment to data privacy, security, and ethical handling of information.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Data Engineer, you will have access to:

• Mentorship from senior data scientists and AI researchers who are shaping the future of artificial intelligence.
• Annual learning stipend for conferences, certifications, or advanced coursework.
• Internal tech talks, hackathons, and knowledge‑sharing sessions that encourage continuous skill expansion.
• Clear promotion pathways from junior engineer to senior, lead, and eventually data architecture or management roles.
• Opportunities to contribute to high‑visibility projects that directly impact arenaflex’s flagship AI products.

Work Environment & Culture

arenaflex embraces a remote‑first culture that values flexibility, autonomy, and work‑life balance. Our teams are distributed across time zones, yet we maintain a strong sense of community through:

• Regular virtual coffee chats, team‑building events, and quarterly in‑person meet‑ups.
• Inclusive hiring practices and a commitment to diversity, equity, and inclusion.
• Open communication channels where every voice is heard and ideas are welcomed.
• Transparent leadership that shares company goals, product roadmaps, and performance metrics.
• A supportive environment that encourages experimentation, learning from failures, and celebrating successes.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects the value you bring to the organization. While the base rate for this role is $28 per hour, total rewards include:

• Comprehensive health, dental, and vision insurance for you and your dependents.
• Generous mental‑health and wellness resources, including counseling and meditation apps.
• 401(k) retirement plan with a 4% company match.
• Unlimited paid time off (PTO) and 18+ company holidays each year.
• Paid parental leave (up to 20 weeks) and family‑support programs.
• Professional development budget and access to online learning platforms.
• Home office stipend to set up an ergonomic remote workspace.
• Employee assistance programs, fitness class reimbursements, and virtual social events.

How to Apply

If you are passionate about building data infrastructure that powers transformative AI, thrive in a collaborative remote setting, and are eager to make an impact at a mission‑driven organization, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you’re excited to join arenaflex.

Join arenaflex and Shape the Future of AI

At arenaflex, we believe that artificial intelligence can solve some of the world’s most pressing challenges, and we are committed to ensuring its benefits are shared broadly. By joining our data engineering team, you will play a pivotal role in turning ambitious research into reliable, real‑world products. Become part of a community that values curiosity, integrity, and impact. Apply today and help us build the data foundations for tomorrow’s AI breakthroughs.