Software Dev Engineer

Kforce has an enterprise client seeking a Software Dev Engineer IV in Redmond, WA. Responsibilities:

• Design, build, and operate batch and streaming data pipelines that ingest, transform, and serve manufacturing and on-orbit telemetry
• Build and maintain the AWS infrastructure behind those pipelines, deployed as code
• Build and optimize high-performance databases to handle massive volumes of telemetry and

• Develop the backend services and APIs that serve this data to internal users and tools
• Handle day-to-day data operations: backfills, incoming data checks, and publishing the datasets other teams rely on
• Monitor pipeline health and data quality, and troubleshoot production issues
• Collaborate with cross-functional teams including hardware engineers, network architects, and scientists
• Ensure system reliability, scalability, and performance in a mission-critical environment
• Bachelor's degree in Computer Science, Engineering, or related technical field
• 10+ years of professional software development experience in production environments
• 5+ years of hands-on experience building and operating production data pipelines, both batch and streaming
• Must be fluent in both Python and Java, with production code written in each
• Strong understanding of software design patterns, data structures, and algorithms
• Must have experience with version control systems and CI/CD pipelines
• Knowledge of distributed systems and cloud computing platforms
• Understanding of IAM and least-privilege access patterns
• Experience with Docker
• Experience designing ETL/ELT processes, including incremental loads, backfills, and late or out-of-order data
• Experience with distributed batch and stream processing frameworks, such as Apache Spark or Apache Flink
• Experience running pipelines in production: monitoring and alarming, data quality checks, and recovering from failed runs
• Enough engineering judgment to notice when telemetry looks wrong rather than passing it through
• Hands-on experience with AWS storage, compute, and data processing services
• Experience defining and deploying cloud infrastructure as code
• Proficiency with SQL at depth. Familiarity with NoSQL databases is useful
• Experience with database performance optimization, indexing strategies, and query tuning on large datasets
• Knowledge of data modeling, schema design, and database migration strategies
• Experience with data warehousing concepts, such as partitioning and columnar storage

• Experience with columnar analytical databases
• Experience with high-volume time-series or telemetry data
• Experience with TypeScript and React
• Knowledge of network protocols and telecommunications systems