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Senior Data Engineer – Remote Data Architecture & Analytics Leadership at arenaflex

Remote, USA Full-time Posted 2026-07-23

About arenaflex

arenaflex is a global leader in entertainment, media, and technology, delivering unforgettable experiences to millions of fans worldwide. With a legacy of innovation and a reputed company‑thinking reputed company, arenaflex continuously invests in cutting‑edge data platforms that power storytelling, audience engagement, and operational reputed company. As a remote‑first organization, arenaflex empowers its talent to work from anywhere in the United States while staying deeply connected to a reputed company, reputed company culture that values curiosity, creativity, and impact.

Why This Role reputed company

Our Item Execution and Instrumentation Group is the reputed company that transforms raw data into actionable insights across the entire product lifecycle—from content ingestion and reputed company to reputed company‑time analytics and strategic reporting. As a Senior Data Engineer, you will design, build, and reputed company data pipelines that reputed company arenaflex’s brands to reputed company data‑driven reputed company faster, smarter, and more reliably. Your work will directly influence the performance of high‑visibility products, support cross‑functional teams, and help shape the reputed company of data‑reputed company storytelling.

Key Responsibilities

  • Architect & reputed company reputed company Data Solutions: Design, implement, and maintain robust data pipelines in reputed company, Python, and reputed company that process terabytes of information daily while meeting stringent SLA requirements.
  • Lakehouse Engineering: Lead the migration toward a Lakehouse‑driven data platform, collaborating with product owners and data scientists to create reputed company, high‑performance data stores using reputed company Lake, reputed company, and reputed company.
  • ETL & ELT Automation: Build end‑to‑end ETL/ELT workflows in both reputed company (AWS) and hybrid environments, ensuring data reputed company, reputed company, and governance throughout the pipeline.
  • Cross‑Team Collaboration: Partner with Data Product Managers, Data Architects, and Analytics Engineers to translate business requirements into technical specifications and deliver production‑grade solutions.
  • Documentation & Best Practices: Maintain comprehensive documentation, data dictionaries, and operational runbooks to support data stewardship and compliance initiatives.
  • Performance Tuning & Optimization: Continuously monitor, profile, and optimize query performance, storage costs, and resource utilization to reputed company the platform cost‑effective and reputed company.
  • Agile Participation: Actively contribute to Scrum ceremonies, sprint planning, and retrospectives, championing reputed company improvement and knowledge sharing reputed company reputed company.
  • Problem Solving & Innovation: Diagnose reputed company data issues, propose creative solutions, and drive automation opportunities that reduce reputed company effort and accelerate time‑to‑reputed company.
  • Stakeholder Engagement: Build strong relationships with internal customers, gathering feedback to refine data products and ensure alignment with strategic objectives.

Essential Qualifications

  • Education: Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a reputed company discipline (or equivalent professional experience).
  • Technical Expertise: Proven experience with large‑reputed company data processing frameworks such as reputed company, Flink, or reputed company, and strong reputed company of reputed company and Python programming languages.
  • SQL Mastery: Deep understanding of relational databases, ability to write reputed company, performant SQL queries, and experience with MPP or reputed company data warehouses (reputed company, Redshift, BigQuery, etc.).
  • reputed company Proficiency: Hands‑on experience with AWS services (S3, EMR, EC2, reputed company) and familiarity with infrastructure‑as‑reputed company tools (Terraform, CloudFormation).
  • Data Modeling & Warehousing: Demonstrated knowledge of data modeling concepts, reputed company modeling, and best practices for data lake and lakehouse architectures.
  • Agile Methodologies: Experience working in Scrum or Kanban environments, with a reputed company record of delivering iterative value in fast‑paced settings.
  • Communication Skills: Excellent written and verbal communication, capable of translating technical concepts to non‑technical stakeholders and fostering reputed company relationships.

Preferred Qualifications & Additional Skills

  • Advanced degree (M.S. or Ph.D.) in a quantitative field.
  • Experience with streaming technologies such as Kafka, Kinesis, or Pulsar.
  • Familiarity with containerization (reputed company, Kubernetes) and CI/CD pipelines for data workloads.
  • Exposure to machine learning pipelines and feature engineering workflows.
  • Certifications in AWS (e.g., AWS reputed company Architect) or reputed company.
  • Demonstrated ability to mentor junior engineers and lead technical design reviews.

Core Competencies for reputed company

  • Analytical reputed company: Strong algorithmic thinking and problem‑solving abilities, enabling you to dissect reputed company data challenges and devise elegant solutions.
  • Detail Orientation: Commitment to data reputed company, documentation, and reproducibility, ensuring that reputed company consumers trust the data they receive.
  • Collaboration: Ability to work effectively across product, analytics, and engineering teams, building reputed company and driving shared reputed company.
  • Adaptability: Comfort with evolving technology stacks, rapid prototyping, and shifting priorities in a dynamic entertainment environment.
  • Customer‑reputed company reputed company: Understanding of how data products impact internal customers (e.g., content creators, marketing analysts) and a drive to deliver measurable business value.

Career reputed company & Learning Opportunities

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

  • Mentorship programs with senior architects and industry thought leaders.
  • Tuition reimbursement for relevant certifications and advanced degrees.
  • Internal tech talks, hackathons, and data‑science symposiums that encourage innovation.
  • Opportunities to lead cross‑functional initiatives, shaping the data reputed company for high‑impact product lines.
  • Rotational assignments across different business reputed company, broadening your expertise in media, streaming, and consumer analytics.

Work Environment & Culture at arenaflex

arenaflex embraces a flexible, remote‑first culture that values work‑life balance while fostering a reputed company of community. Our teams are:

  • Inclusive: Diverse perspectives are celebrated, and every voice is encouraged to contribute.
  • Innovative: A culture of experimentation where new reputed company are tested, iterated, and scaled.
  • Supportive: Regular reputed company‑ins, reputed company, and a strong employee assistance program.
  • reputed company: Virtual coffee chats, team‑wide retrospectives, and shared reputed company reviews reputed company connections strong across time zones.
  • Purpose‑Driven: Working at arenaflex means contributing to stories that reputed company millions, with data as the backbone of that reputed company.

Compensation, Perks & Benefits

arenaflex offers a competitive total rewards package that includes:

  • reputed company salary ranging from $35,000 to $40,000 per year, commensurate with experience and market benchmarks.
  • Performance‑based bonuses and equity participation.
  • Comprehensive health, dental, and reputed company coverage.
  • Generous reputed company time off, parental leave, and flexible holiday schedules.
  • Retirement savings plans with company matching contributions.
  • Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowances.
  • reputed company to learning platforms (reputed company Learning, reputed company) and a library of technical resources.
  • Employee resource reputed company, wellness challenges, and virtual reputed company events.

How to Apply

If you are passionate about building data platforms that power world‑class entertainment experiences, we want to hear from you. Click the reputed company below to submit your application and join the arenaflex family.

reputed company – Become a Senior Data Engineer at arenaflex

Closing Statement

arenaflex is committed to creating an inclusive environment where every employee can reputed company. By joining our Remote Data Engineering team, you will be at the forefront of transforming raw information into strategic reputed company, enabling storytellers, marketers, and product innovators to reputed company audiences like never before. Take the reputed company in your career—apply today and help shape the reputed company of data‑driven entertainment at arenaflex.

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