Remote Position

Senior Data Engineer – Remote, Part‑Time Data Entry Specialist for brighthush 27 Initiative

🌍 Remote · United States 💼 Full-time

About brighthush and the Data Revolution

brighthush is a global leader in digital entertainment, captivating more than 230 million viewers across 190+ countries. With the launch of our new Publicizing‑Upheld platform, immersive Games, and Live Experiences, we are redefining how audiences discover, engage, and enjoy content. These bold expansions have amplified the complexity and scale of our internal data ecosystem, demanding new levels of agility, security, and insight.

At the heart of brighthush’s success lies a commitment to protect and honor our users’ data. We adhere to the highest standards of privacy and data integrity, ensuring compliance with global regulations while delivering personalized experiences. Our Privacy & Data Governance team builds resilient, privacy‑driven data architectures that empower every product and service to make data‑centric decisions safely and responsibly.

We’re now looking for a talented Data Engineer to join the brighthush 27 Initiative—a high‑impact, part‑time role that blends data entry, pipeline design, and privacy‑focused engineering. If you thrive on building secure, scalable data solutions and want to shape the future of entertainment data, this is the opportunity for you.

Key Responsibilities

  • Design and Build Data Pipelines: Create robust, privacy‑aware ETL/ELT workflows using modern big‑data tools such as Apache Flink, Apache Kafka, Apache Spark, and Hive. Ensure pipelines handle both structured and unstructured data at scale.
  • Data Modeling & Schema Management: Translate business requirements into efficient data models, schemas, and metadata catalogs that support analytics, reporting, and machine‑learning workloads.
  • Data Quality & Governance: Implement automated data validation, lineage tracking, and quality checks. Collaborate with the Privacy & Data Governance team to enforce data‑handling policies.
  • Performance Optimization: Continuously monitor, tune, and optimize pipeline performance, reducing latency and resource consumption.
  • Cross‑Functional Collaboration: Work closely with product managers, data scientists, and privacy engineers to understand data needs and deliver actionable insights.
  • Documentation & Knowledge Sharing: Produce clear, maintainable documentation for pipelines, data models, and best practices. Mentor junior engineers and share expertise across the team.
  • Continuous Learning: Stay abreast of emerging data technologies, privacy regulations, and industry trends. Advocate for innovative solutions that enhance data security and efficiency.

Essential Qualifications

  • Minimum 2 years of professional experience in data engineering, data pipeline development, or related roles.
  • Proficiency in at least one of the following programming languages: Java, Python, or Scala.
  • Strong SQL skills and experience with relational and columnar databases.
  • Hands‑on experience with big‑data processing frameworks (e.g., Flink, Spark, Hive, Kafka).
  • Solid understanding of data privacy principles, GDPR, CCPA, and other relevant regulations.
  • Experience designing and maintaining data pipelines that handle both batch and real‑time workloads.
  • Excellent problem‑solving skills and a data‑driven mindset.
  • Effective communication skills in English, both written and verbal.

Preferred Qualifications

  • Experience with cloud data platforms (AWS, GCP, Azure) and services such as Redshift, BigQuery, or Snowflake.
  • Knowledge of data cataloging and metadata management tools (e.g., Amundsen, DataHub).
  • Familiarity with privacy‑by‑design frameworks and data masking/obfuscation techniques.
  • Previous work in a highly regulated industry (finance, healthcare, or media).
  • Certifications in data engineering or cloud platforms.

Core Skills & Competencies

  • Technical Proficiency: Advanced coding, SQL, and big‑data tooling.
  • Data Governance: Ability to embed privacy and compliance into every stage of the data lifecycle.
  • Analytical Thinking: Translate complex business questions into actionable data solutions.
  • Collaboration: Work effectively with cross‑functional teams in a fast‑paced environment.
  • Adaptability: Quickly learn new technologies and pivot as project priorities evolve.
  • Attention to Detail: Ensure data accuracy, consistency, and integrity across all pipelines.

Career Growth & Learning Opportunities

At brighthush, your growth is our priority. As a part‑time Data Engineer, you’ll:

  • Participate in brighthush Academy workshops covering advanced data engineering, privacy law, and emerging tech.
  • Lead small projects that directly influence product features and user experience.
  • Collaborate with senior architects on strategic data initiatives, gaining exposure to enterprise‑scale solutions.
  • Earn certifications through our Learning & Development Fund for courses in cloud, data science, and security.
  • Contribute to open‑source projects and industry conferences, building your professional network.

Work Environment & Culture at brighthush

brighthush champions a culture of innovation, inclusivity, and transparency. Our remote-first model empowers you to work from anywhere while staying connected through:

  • Weekly virtual stand‑ups and cross‑team syncs.
  • Real‑time collaboration tools (Slack, Zoom, Confluence).
  • Flexible scheduling to accommodate global time zones.
  • Annual virtual retreats and quarterly hackathons.
  • Open feedback loops and mentorship programs.

Compensation, Perks, and Benefits

While specific figures vary by region and role, brighthush offers a competitive package that includes:

  • Competitive hourly rate for part‑time engagement.
  • Health, dental, and vision coverage (where applicable).
  • Generous paid time off and holiday schedule.
  • Access to a company‑wide wellness program (virtual fitness, mindfulness sessions).
  • Employee stock purchase plan and equity options.
  • Continuous learning stipend for courses, conferences, and certifications.
  • Flexible work hours and remote work infrastructure support.

Why Join brighthush?

At brighthush, you’ll be part of a mission‑driven team that shapes the future of entertainment. Your work will directly influence how millions of users discover, enjoy, and interact with content worldwide. You’ll collaborate with world‑class engineers, data scientists, and privacy experts, all while enjoying the flexibility of a remote, part‑time role.

We value curiosity, resilience, and a passion for data. If you’re ready to build privacy‑first data pipelines, drive innovation, and grow your career in a dynamic, global environment, we want to hear from you.

Apply now and become a key contributor to brighthush’s next chapter of growth and innovation.

Apply for this job
Apply Now →

More Open Positions

Explore similar remote opportunities