Senior Big Data Software Engineer – Remote Data Platform & Pipeline Engineering at careerzynith
**Job Description:**
Build the Future of Entertainment Data — Join careerzynith as a Senior Big Data Software Engineer (Remote)
At careerzynith, we are reimagining how the world experiences entertainment, sports, and digital storytelling. Every single day, our engineering teams design and deliver the technologies that power some of the most beloved streaming platforms, immersive media products, and consumer-facing digital experiences on the planet. From premium streaming services and live sports platforms to interactive mobile applications and connected TV experiences, our work touches hundreds of millions of viewers, advertisers, and content partners across the globe.
If you are passionate about distributed systems, large-scale data engineering, and building resilient platforms that operate at true internet scale, this is your opportunity to make a measurable impact. We are seeking a Senior Big Data Software Engineer to join our Data Platforms team, a highly specialized engineering group within the broader Technology and Product Engineering organization at careerzynith. This is a fully remote position open to qualified candidates based in the United States, with preference for those located in or near Seattle, Washington or Santa Monica, California.
In this role, you will help shape the backbone of the data infrastructure that supports personalization, content discovery, advertising measurement, fraud detection, and audience analytics across careerzynith’s expansive portfolio of digital properties. You will work alongside world-class engineers, product managers, data scientists, and architects in a collaborative, agile, and innovation-driven culture.
Why You’ll Love Working at careerzynith
- Build the Future of Media Technology: careerzynith technologists design and build the infrastructure that powers entertainment, advertising, and distribution platforms for years to come. Your code will directly influence how content is delivered, measured, and optimized at scale.
- Unmatched Reach and Scale: The platforms you help engineer will serve millions of consumers every minute of every day across mobile, web, smart TVs, gaming consoles, and emerging connected devices.
- Innovation-First Culture: We invest heavily in research and development, encouraging engineers to experiment with new architectures, share knowledge, and pioneer industry-shaping techniques in big data, machine learning, and real-time processing.
- Flexibility and Remote Work: careerzynith embraces a flexible, remote-first engineering culture that prioritizes outcomes, autonomy, and work-life balance.
About the Data Platforms Team
The Data Platforms Team at careerzynith is responsible for end-to-end development of our world-class consumer-facing data products. Our work supports streaming services, digital media experiences, personalization engines, search systems, messaging infrastructure, and analytics platforms across multiple brands and business units. The Big Data Applications Engineering group within Data Platforms focuses specifically on building the systems that capture, process, and serve massive volumes of structured and unstructured data.
Our technology stack includes AWS, Databricks, Apache Spark, Apache Airflow, Delta Lake, Snowflake, Scala, Python, and a wide array of modern cloud-native data tools. If you are energized by solving hard problems in both batch and real-time data processing, enjoy designing scalable systems, and want to work at the intersection of software engineering and data engineering, you will thrive here.
Key Responsibilities
- Maintain and Evolve the Data Capture Platform: Contribute to the upkeep, scaling, and continuous improvement of our Spark-based data pipelines while meeting strict uptime SLAs and operational reliability targets.
- Extend Core Platform Capabilities: Build new functionality including metadata parsing, metastore API extensions, and integrations with internal and external APIs across the data organization.
- Drive the Lakehouse Architecture Vision: Work with stakeholders, partners, and customers to evolve our data platform toward a modern Lakehouse-centric architecture that unifies batch and streaming workloads.
- Architect Shared Libraries and Frameworks: Design, code, and document shared libraries in Scala and Python that encapsulate complex business logic, enabling consistent functionality across teams.
- Cross-Functional Collaboration: Partner with product managers, architects, and fellow engineers to drive the success of the Data Capture platform, ensuring alignment on priorities, technical direction, and delivery timelines.
- Define Engineering Standards: Lead the development and documentation of internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and data governance best practices.
- Operational Excellence: Ensure high operational efficiency and data quality across platform datasets, ensuring solutions meet SLAs and deliver reliability and accuracy to engineering, data science, operations, and analytics stakeholders.
- Agile Advocacy: Be an active participant in agile and scrum ceremonies, helping the team continuously improve its processes, velocity, and collaboration.
- Customer-Centric Engineering: Build relationships with internal customers to deeply understand their needs, prioritize new features, and deliver incremental platform improvements that drive adoption.
- Documentation and Mentorship: Maintain thorough technical documentation to support data quality and governance, while mentoring junior engineers and evangelizing best practices across the organization.
Basic Qualifications
- 7+ years of professional software engineering experience developing backend applications at scale.
- 2+ years of hands-on data engineering experience building and operating large data pipelines.
- Strong algorithmic problem-solving skills and a passion for tackling complex technical challenges.
- Proficiency in Scala and Python, with strong fundamental programming skills.
- Solid understanding of AWS (particularly S3) or equivalent cloud provider resources.
- Strong SQL skills with the ability to craft complex analytical queries.
- Production experience with distributed processing systems such as Apache Spark.
- Production experience with orchestration systems such as Apache Airflow.
- Experience with scripting languages and a willingness to learn new technologies quickly.
- Self-starter with strong attention to detail, excellent analytical skills, and outstanding communication abilities.
Preferred Qualifications
- Experience with at least one major Massively Parallel Processing (MPP) or cloud data warehouse technology such as Snowflake, Redshift, or BigQuery.
- Experience developing APIs with GraphQL.
- Deep understanding of AWS or other cloud platforms, including infrastructure-as-code practices.
- Familiarity with data modeling techniques and data warehousing best practices.
- Hands-on experience with Scrum and Agile methodologies.
- Master’s degree in Computer Science, Information Systems, or a related field is a plus.
Required Education
- Bachelor’s degree in Computer Science, Information Systems, or a related technical field — or equivalent industry experience.
Compensation and Benefits
The hiring range for this position is $156,300 – $209,600 per year for candidates based in Seattle, Washington, and $149,300 – $200,200 per year for candidates based in Santa Monica, California. The base pay actually offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience.
In addition to a competitive base salary, careerzynith offers a comprehensive benefits package that may include performance-based bonuses, long-term incentive units, full medical, dental, and vision coverage, retirement savings plans, generous paid time off, parental leave, wellness programs, and ongoing learning stipends. Specific offerings vary by location and employment classification.
Career Growth and Learning Opportunities
At careerzynith, we believe the best engineers are lifelong learners. You will have access to:
- Conference sponsorships and continuing education budgets.
- Internal mentorship programs pairing senior engineers with emerging talent.
- Cross-functional rotation opportunities across data engineering, platform engineering, and machine learning infrastructure.
- Technical guilds and communities of practice focused on Scala, Spark, cloud architecture, and data governance.
Work Environment and Culture
careerzynith fosters a culture of curiosity, ownership, and inclusion. We celebrate diverse perspectives and believe that the best ideas come from teams with broad backgrounds and lived experiences. Our remote-first engineering culture emphasizes autonomy, asynchronous collaboration, and a results-driven mindset. Whether you are working from a home office in Seattle, a co-working space in Santa Monica, or anywhere else in the United States, you will be supported with the tools, technology, and flexibility you need to do your best work.
About careerzynith
careerzynith is a global technology and entertainment organization committed to delivering world-class digital experiences across streaming, broadcasting, publishing, and live events. Our engineering teams operate at the intersection of creativity and technology, building platforms that serve hundreds of millions of users worldwide. Headquartered in the United States with offices and remote hubs across more than 40 countries, careerzynith is proud to be an equal opportunity employer that values diversity, innovation, and the relentless pursuit of excellence.
How to Apply
If you are an experienced big data engineer who thrives in fast-paced, high-impact environments and wants to help shape the future of entertainment technology, we want to hear from you. Bring your curiosity, your craft, and your passion for building systems at scale — and join careerzynith.
Apply now to become a Senior Big Data Software Engineer at careerzynith!
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