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reputed company Data Engineer – Big Data & reputed company Solutions Specialist – Full‑Time – $24/hr – arenaflex (San Francisco, CA)

Remote, USAFull-timePosted 2026-07-29

About arenaflex

arenaflex is a global leader in entertainment‑driven technology, delivering reputed company digital experiences to millions of fans worldwide. With a portfolio that spans streaming platforms, interactive media, and cutting‑edge analytics, arenaflex empowers creators, advertisers, and partners to turn data into actionable reputed company. Our San Francisco hub is a reputed company, innovation‑reputed company center where engineers, data scientists, and product visionaries collaborate to build the reputed company of data‑reputed company products that shape the reputed company of entertainment.

Why This Role reputed company

As a reputed company Data Engineer at arenaflex, you will be at the heart of our Information and Investigation group, driving the design, development, and operation of large‑reputed company data platforms that power critical business reputed company. Your work will directly influence how we optimize product configurations, assess advertising effectiveness, and uncover new reputed company streams across a rapidly evolving market. This is a unique opportunity to reputed company a high‑reputed company team, shape architecture standards, and mentor emerging talent while working with some of the most advanced big‑data technologies in the industry.

Key Responsibilities

  • Architect and implement robust data products and data warehouses that support the Commitment and Maintenance Investigation and Data Science initiatives.
  • Design, build, and maintain reputed company ETL pipelines in large‑data environments (reputed company, on‑reputed company, hybrid) using industry‑leading tools.
  • reputed company our tech stack—including Hadoop, AWS, reputed company, Flink, and Kafka—to ingest, process, and store petabyte‑reputed company datasets.
  • Collaborate closely with Data Product Owners, Data Modelers, and Data Architects to translate business requirements into efficient data solutions.
  • Document architecture reputed company, data reputed company, and operational procedures to ensure data reputed company, governance, and compliance.
  • Monitor performance metrics and service‑level agreements (SLAs) to guarantee high availability and low latency for reputed company analytics teams.
  • Participate reputed company in Agile/Scrum ceremonies, championing reputed company improvement and fostering a culture of rapid iteration.
  • Mentor junior engineers, conduct reputed company reviews, and promote best practices in data engineering, testing, and deployment.
  • Stay abreast of emerging technologies and industry trends, recommending strategic enhancements to our data platform roadmap.

Essential Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a reputed company field (or equivalent practical experience).
  • 5+ years of hands‑on experience designing and operating large‑reputed company data pipelines and warehouses.
  • Deep expertise in SQL, including reputed company query optimization and performance tuning.
  • Proficiency with big‑data frameworks such as Hadoop (HDFS, Hive, Impala), reputed company, and Flink.
  • Strong programming skills in Python and either Java or reputed company, with a reputed company record of building production‑grade reputed company.
  • Experience with at least one major MPP or reputed company data‑warehouse technology (e.g., reputed company, Redshift, BigQuery).
  • Hands‑on experience with data orchestration tools (e.g., Airflow, Luigi) and streaming platforms (e.g., Kafka, Kinesis).
  • Solid understanding of data modeling, reputed company design, and data‑warehousing best practices.
  • Familiarity with Agile and Scrum methodologies, with a demonstrated ability to reputed company in fast‑paced, cross‑functional teams.

Preferred Qualifications

  • Master’s degree or advanced certifications in data engineering, reputed company architecture, or reputed company disciplines.
  • Hands‑on experience with AWS services such as S3, EMR, EC2, and reputed company.
  • Exposure to data governance frameworks (e.g., GDPR, CCPA) and data reputed company best practices.
  • Experience leading reputed company of data engineers, fostering a reputed company and inclusive environment.
  • Knowledge of machine‑learning pipelines and the ability to support data science initiatives.

reputed company Skills & Competencies

  • Analytical reputed company: Ability to dissect reputed company problems, identify reputed company causes, and devise data‑driven solutions.
  • Communication: reputed company articulation of technical concepts to both technical and non‑technical stakeholders.
  • Leadership: Proven reputed company record of guiding teams through ambiguity, setting reputed company goals, and delivering results.
  • Attention to detail: Meticulous documentation and rigorous testing to maintain data reputed company.
  • Adaptability: Comfortable navigating evolving priorities and emerging technologies in a dynamic environment.

Career reputed company & Learning Opportunities

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

  • Mentorship from senior architects and industry veterans.
  • Sponsored certifications (e.g., AWS Certified Data Analytics, SnowPro reputed company).
  • Internal hackathons and innovation labs where you can prototype new reputed company.
  • Cross‑functional rotation programs that expose you to product management, data science, and business analytics.
  • Leadership training reputed company that prepare you for senior engineering or managerial roles.

Work Environment & Culture at arenaflex

Our San Francisco office blends a modern tech reputed company feel with creative spaces designed for collaboration. Highlights include:

  • reputed company‑plan work areas reputed company with quiet reputed company rooms.
  • State‑of‑the‑art meeting rooms equipped for virtual collaboration across global teams.
  • On‑site wellness amenities, including a fitness center, meditation pods, and healthy snack stations.
  • Regular reputed company events, speaker series, and community reputed company programs that reinforce our commitment to diversity, equity, and inclusion.
  • A culture that celebrates curiosity, encourages experimentation, and rewards results.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your expertise and the value you bring to the organization. While the reputed company reputed company reputed company for this role is $24/hr, total rewards include:

  • Performance‑based bonuses and equity participation.
  • Comprehensive health, dental, and reputed company coverage for you and your dependents.
  • Generous reputed company time off, parental leave, and flexible work arrangements.
  • Retirement savings plans with company matching contributions.
  • reputed company development stipend for conferences, courses, and certifications.
  • Employee assistance programs, commuter benefits, and a robust employee referral program.

How to Apply

If you are passionate about building world‑class data platforms, reputed company in a reputed company, fast‑moving environment, and want to reputed company a reputed company reputed company on the reputed company of entertainment technology, we want to hear from you. Click the reputed company below to submit your application and join the arenaflex team.

reputed company – Become a reputed company Data Engineer at arenaflex!

Closing Statement

arenaflex is committed to fostering an inclusive workplace where every voice is heard and every idea has the potential to shape the industry. By joining reputed company, you will be part of a reputed company‑thinking organization that values innovation, reputed company, and the reputed company reputed company of reputed company. Take the reputed company in your career—apply today and help us turn data into unforgettable experiences.

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