Software Engineer II - Data

About Us:

At Quickplay, we believe in transparency, fairness, and collaboration while we passionately work on some of the toughest use cases in OTT video, focused on massive scale and resilience. If you aspire to be part of a high-performing, learning-oriented, and caring culture--you have landed on the right company. Our team is looking for an energetic, results-driven B2B marketing professional with a unique blend of product marketing, channel marketing, marketing communications and analytical acumen to develop and implement marketing initiatives in the video platform industry.

About the role–-

As a Software Engineer II - Data, you will contribute to the design and development of data systems including pipelines, APIs, analytics, AI and machine learning at scale. You'll be a core part of our Data Products team, building and maintaining production-grade pipelines and platform components that power business and product outcomes. This role emphasizes hands-on development, reliability, and team collaboration.

Primarily Focused on:

• Writing high-quality, scalable, and maintainable code across data pipelines, APIs, and data platform services.
• Collaborating with senior engineers, analysts, and product stakeholders to translate technical requirements into working solutions.
• Developing and supporting APIs, batch and real-time data flows, ensuring reliability and performance in 24x7 environments.
• Contributing to data modeling, transformation logic, and system design decisions in support of reporting, analytics, and data delivery needs.
• Participating in the end-to-end software development lifecycle - including planning, testing, deployment, and operations.
• Taking ownership of features and components, and seeing them through from design to deployment.
• Documenting technical decisions, workflows, and runbooks to support long-term maintainability and clarity for peers.
• Practicing responsible data governance, ensuring data quality, privacy, and lineage are considered in all development.
• Continuously learning and growing through code reviews, pairing, and technical mentorship.

Success in this role requires:

• A proactive and collaborative approach to problem-solving, with a mindset focused on outcomes, learning, and iteration.
• The ability to manage multiple priorities or projects simultaneously, while meeting deadlines and maintaining high technical standards.
• Comfort operating within modern cloud-native architectures and tooling.
• Commitment to writing clean, testable, and maintainable code.
• An understanding of how your work contributes to broader team and business goals.
• Willingness to ask questions, challenge assumptions, and share ideas.

About You--

Experience & Technical Requirements:

• 2–4 years of development experience, with production systems in cloud environments.
• Proficient in Python and/or Golang, and SQL for data processing, transformation, and orchestration tasks. 
• Experience with at least one modern cloud platform (e.g., GCP, AWS, or Azure).
• Experience developing REST or GraphQL APIs and internal data access layers.
• Experience building and maintaining ETL/ELT pipelines or API-driven data services.
• Experience with source control (e.g., Git), automated testing, and CI/CD practices.
• Exposure to orchestration tooling such as n8n, Cloud scheduler, Airflow, Step Functions, or similar.
• Understanding of data modeling concepts and cloud warehousing (e.g. Databricks, BigQuery, Snowflake or other).
• Familiarity with Kafka, Pub/Sub, or other event-based systems.
• Awareness of data quality, observability, and governance principles in engineering contexts.
• Strong written and verbal communication skills, with an ability to share context with both technical peers and cross-functional partners.
• Experience working with containerized environments (e.g., Docker, Kubernetes).
• Exposure to infrastructure-as-code, especially for deploying and managing data workflows.
• Hands-on use of BI tools like Looker or Tableau
• A growth mindset and interest in mentoring junior peers or learning from senior engineers.

Highly Favorable Skills:

• Strong communication skills with the ability to clearly explain technical concepts to peers, analysts, and product partners.
• Demonstrated initiative in solving ambiguous technical problems or improving systems without being prompted.
• Exposure to client-facing or cross-functional environments, such as working directly with product managers, analysts, or external partners.
• Hands-on experience deploying or operating critical systems, services, or pipelines with high availability requirements.
• Participation in agile or iterative development teams, including experience with sprint planning, retrospectives, or technical scoping.
• Contributions to documentation, internal knowledge bases, or open-source projects.
• Interest in mentoring interns or junior engineers, or actively seeking mentorship to accelerate your own growth.