Data Systems Developer

Job Title: Senior Data EngineerThis is an excellent opportunity to join a dynamic team as a Senior Data Engineer. In this role, you will be responsible for designing and developing data systems including pipelines, APIs, analytics, AI, and machine learning at scale.As a core member of our Data Products team, you will build and maintain production-grade pipelines and platform components that power business and product outcomes. This role emphasizes hands-on development, reliability, and team collaboration.Key Responsibilities:Design and develop scalable and maintainable data pipelines, APIs, and data platform services.Collaborate with senior engineers, analysts, and product stakeholders to translate technical requirements into working solutions.Develop and support APIs, batch, and real-time data flows, ensuring reliability and performance in 24x7 environments.Contribute to data modeling, transformation logic, and system design decisions in support of reporting, analytics, and data delivery needs.Participate in the end-to-end software development lifecycle - including planning, testing, deployment, and operations.Take ownership of features and components, and see them through from design to deployment.Document technical decisions, workflows, and runbooks to support long-term maintainability and clarity for peers.Practice responsible data governance, ensuring data quality, privacy, and lineage are considered in all development.Requirements: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.Preferred Qualifications: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.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.About You:Are you looking for a challenging and rewarding role in data engineering? Do you have a passion for designing and developing scalable and maintainable data systems?We are seeking a highly motivated and experienced Senior Data Engineer to join our dynamic team. As a key member of our Data Products team, you will be responsible for designing and developing data systems including pipelines, APIs, analytics, AI, and machine learning at scale.In this role, you will have the opportunity to work with cutting-edge technologies, collaborate with senior engineers, analysts, and product stakeholders, and contribute to the success of our business.