Software Dev Engineer
About the role
- 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 andoperational data* 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 environmentRequirements* 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 storagePreferred:* 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 systemsJob TypeContractCompensation72 - $80
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A number in mind
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Your notice period
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