Top Tech Jobs & Startup Jobs in Seattle, WA

Lead React Native mobile app development for iOS and Android, enforce coding standards, mentor developers, collaborate with product/design/backend, implement testing and CI/CD, manage releases to App Store and Google Play, and drive continuous improvement.

Design, develop, optimize, test, and deploy large-scale Spark/Scala data processing and ETL pipelines on Cloudera Hadoop. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for production analytics solutions.

Lead development of a full-stack React Native and React application, define code standards, build high-quality cross-platform mobile UIs, integrate native APIs, fix performance issues, publish to App Store and Play Store, write automated tests, and contribute to open-source fixes.

Design and execute performance/load tests for microservices and web applications, identify bottlenecks, analyze CPU/memory/network metrics, report defects, collaborate with developers to reproduce and resolve issues, and improve testing processes and tools.

Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines using the Cloudera Hadoop ecosystem. Collaborate with analysts and data scientists, ensure data integrity and security, troubleshoot performance, and implement version control and CI/CD for production Spark workloads.

Design, implement, and maintain Java-based applications to automate financial data reconciliation across relational and NoSQL sources. Build deterministic and heuristic matching algorithms, integrate with rules engines (Drools), handle errors and exceptions, collaborate with analysts and architects to resolve data gaps, and support data governance and quality initiatives.

Design, build, and maintain large-scale data pipelines and ETL processes using PySpark/Apache Spark, SQL/NoSQL stores, Hadoop, and Kafka. Work with cloud platforms (AWS/Azure/GCP), data lakes and warehouses, and Python for data manipulation. Lead projects, perform systems analysis, ensure delivery under deadlines, and collaborate across teams. CI/CD and containerization experience is a plus.

Lead multiple complex projects using established project management methodologies. Own project budgets, forecasting, and financial analysis (EV/ROI). Plan and execute quality control, risk mitigation, stakeholder communication, vendor negotiation, and pre/post implementation activities. Build and lead cross-functional teams, mentor other PMs, and participate in hiring. Escalate issues to program and senior management and develop project policies and standards.

Design, build, and optimize native Android applications. Integrate RESTful backends, implement responsive UIs, handle offline storage and threading, use sensors, and automate code quality and CI/CD pipelines.

Gather and document analytics business requirements, conduct needs assessments, translate requirements into user stories, collaborate with data engineers and scientists, create documentation and data dictionaries, participate in agile sprints, support QA and testing, perform exploratory data analysis, build reports and dashboards, monitor analytics solution performance, and evaluate new analytics tools.