Pay
Higher than most similar jobs
$165K–$231K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Greater Seattle Area
Live, first seen by us 49 days agoBase Pay Range for: WA applicants is $164,652.00 - $230,512.80 Other site ranges may differRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Must be a US citizen or national, US permanent resident (current Green Card holder), or lawfully admitted into the US as a refugee or granted asylum
Design and deploy secure, high-throughput pipelines for engine telemetry streams
Design streaming and event-driven architectures using Kafka, Kinesis, or Pulsar
Own Elastic Stack search, indexing, and observability for high-volume time-series data
Establish CI/CD, infrastructure-as-code, and secrets management practices for the data platform
Lead root cause analysis on complex production pipeline failures and data quality issues
Design, develop, and deploy secure, high-throughput data pipelines for large-scale engine telemetry streams
Design and implement streaming and event-driven architectures using event streaming technologies (Kafka, Kinesis, Apache Pulsar)
Own the design, deployment, and tuning of search, indexing, and observability capabilities
Establish and improve DevSecOps practices across the data platform, including CI/CD pipeline design, infrastructure-as-code, automated testing, secrets management, and continuous monitoring
Lead root cause analysis on complex production pipeline failures and data quality non-conformances
5+ years of hands-on experience developing and testing software or data systems.
Demonstrated experience as a DevOps/DevSecOps engineer, data engineer, or in a similar software engineering role, including ownership of production systems.
Experience designing, implementing, and scaling data pipelines for high-volume streaming and batch data.
Experience designing and maintaining CI/CD pipelines, including pipeline creation, editing, and deployment automation.
Demonstrated experience with Kafka or an equivalent event-driven/streaming platform (e.g., Kinesis, Pulsar), including topic design, partitioning, and consumer group management.
Demonstrated experience with the Elastic Stack (Elasticsearch, Logstash, Kibana) or similar search and indexing technologies at scale.
Experience with time-series data stores (e.g., InfluxDB, TimescaleDB) and down sampling or multi-resolution data strategies.
Experience with stream-processing frameworks (e.g., Kafka Streams, Flink, Spark Streaming).
Experience developing and productionizing machine learning models for anomaly detection or health monitoring on sensor/telemetry data.
Experience with LLMs and modern AI frameworks or services (e.g., PyTorch, TensorFlow, SageMaker, Bedrock, LangChain).
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Higher than most similar jobs
$165K–$231K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 49
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From 10,736 similar postings that came down. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience with infrastructure-as-code (e.g., Terraform, Ansible, Pulumi, CloudFormation). - Experience with TypeScript or Python and at least one additional language (e.g., Java, Scala, Go, C++). - Experience with Agile methodologies.
- Demonstrated experience with the Elastic Stack (Elasticsearch, Logstash, Kibana) or similar search and indexing technologies at scale. - Experience with Linux internals including commands and shell scripting. - Experience with Docker / containers and container orchestration (Kubernetes).
- Experience with Agile methodologies. - Working knowledge of databases and SQL including NoSQL, with experience in schema and data model design. - Experience building dashboards and data visualizations (e.g., Grafana, Kibana).
- Experience building dashboards and data visualizations (e.g., Grafana, Kibana). - Experience with cloud services, preferably AWS (e.g., S3, MSK, OpenSearch, EC2, IAM, Lambda). - Working knowledge of data security best practices and secure software delivery.
- Experience with Linux internals including commands and shell scripting. - Experience with Docker / containers and container orchestration (Kubernetes). - Experience with infrastructure-as-code (e.g., Terraform, Ansible, Pulumi, CloudFormation).
- Design and implement streaming and event-driven architectures using event streaming technologies (Kafka, Kinesis, Apache Pulsar) to support real-time and near-real-time telemetry ingest and distribution across multiple consumers. - Own the design, deployment, and tuning of search, indexing, and observability capabilities using the Time series databases like Elastic Stack (Elasticsearch, Logstash, Kibana) for high-volume time-series and log data, including index lifecycle, sharding, and retention strategies. - Establish and improve DevSecOps practices across the data platform, including CI/CD pipeline design, infrastructure-as-code, automated testing, secrets management, and continuous monitoring.
- Demonstrated experience with Kafka or an equivalent event-driven/streaming platform (e.g., Kinesis, Pulsar), including topic design, partitioning, and consumer group management. - Demonstrated experience with the Elastic Stack (Elasticsearch, Logstash, Kibana) or similar search and indexing technologies at scale. - Experience with Linux internals including commands and shell scripting.
- Establish and improve DevSecOps practices across the data platform, including CI/CD pipeline design, infrastructure-as-code, automated testing, secrets management, and continuous monitoring. - Design data models and storage strategies supporting multi-resolution time-series data (raw, down sampled, and aggregated) and implement the dashboards and data views (e.g., Grafana, Kibana) built on them. - Develop AI/ML and LLM-based approaches for anomaly detection, health monitoring, and automated engine data checks, and drive them from prototype to production.
- Working knowledge of databases and SQL including NoSQL, with experience in schema and data model design. - Experience building dashboards and data visualizations (e.g., Grafana, Kibana). - Experience with cloud services, preferably AWS (e.g., S3, MSK, OpenSearch, EC2, IAM, Lambda).
- Experience with secure DevSecOps tooling (SAST/DAST, SBOM, vulnerability scanning) and compliance frameworks (e.g., NIST 800-53/171). - Experience with observability tooling (Prometheus, OpenTelemetry, Grafana Loki). - Experience with propulsion, engine test, manufacturing, or other high-reliability engineering data environments.
- Contribute to and help define the Engines DevSecOps and data ingest roadmap, translating program needs into technical approaches and phased implementation plans. - Design and implement streaming and event-driven architectures using event streaming technologies (Kafka, Kinesis, Apache Pulsar) to support real-time and near-real-time telemetry ingest and distribution across multiple consumers. - Own the design, deployment, and tuning of search, indexing, and observability capabilities using the Time series databases like Elastic Stack (Elasticsearch, Logstash, Kibana) for high-volume time-series and log data, including index lifecycle, sharding, and retention strategies.
- Experience designing and maintaining CI/CD pipelines, including pipeline creation, editing, and deployment automation. - Demonstrated experience with Kafka or an equivalent event-driven/streaming platform (e.g., Kinesis, Pulsar), including topic design, partitioning, and consumer group management. - Demonstrated experience with the Elastic Stack (Elasticsearch, Logstash, Kibana) or similar search and indexing technologies at scale.
- Experience with time-series data stores (e.g., InfluxDB, TimescaleDB) and down sampling or multi-resolution data strategies. - Experience with stream-processing frameworks (e.g., Kafka Streams, Flink, Spark Streaming). - Experience developing and productionizing machine learning models for anomaly detection or health monitoring on sensor/telemetry data.
- Experience developing and productionizing machine learning models for anomaly detection or health monitoring on sensor/telemetry data. - Experience with LLMs and modern AI frameworks or services (e.g., PyTorch, TensorFlow, SageMaker, Bedrock, LangChain). - Experience with secure DevSecOps tooling (SAST/DAST, SBOM, vulnerability scanning) and compliance frameworks (e.g., NIST 800-53/171).
- Experience with Docker / containers and container orchestration (Kubernetes). - Experience with infrastructure-as-code (e.g., Terraform, Ansible, Pulumi, CloudFormation). - Experience with TypeScript or Python and at least one additional language (e.g., Java, Scala, Go, C++).
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!
This role is part of the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems. Built for multiple uses, our family of engines is powering the next generation of rockets for commercial, civil, national security, and human spaceflight.As part of a small team, you will lead the design, development, and deployment of the data ingest pipelines and DevSecOps infrastructure that process large-scale telemetry from Blue Origin rocket engines. You will drive technical decisions affecting the collection, streaming, indexing, and analysis of engine development and test data, and you will determine the methods and approaches used to scale these systems as engine programs grow. This position requires demonstrated depth building high-throughput data pipelines, event-driven architectures, and search and observability platforms, along with the judgment to make sound engineering tradeoffs with limited direction. Together, our teams deliver the data platform that engineers rely on to monitor engine health, investigate anomalies, and accelerate test campaigns.
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
Responsibilities:
As a Data DevSecOps Engineer III, you will own the design and delivery of data ingest and DevSecOps capabilities supporting engine telemetry, determining methods and approaches on new assignments with limited direction. You will solve complex problems spanning multiple systems, own schedule and technical milestones for your work, lead technical reviews, review the work of other engineers, and mentor junior team members. You will work across teams and with internal customers and external stakeholders to align the data platform with program needs. Specific responsibilities include:
Minimum Qualifications:
Preferred Qualifications:
Base Pay Range for:
WA applicants is $164,652.00 - $230,512.80Other site ranges may differ
Culture Statement
Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Export Control Regulations
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Background Check
Benefits
Equal Employment Opportunity
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here.
Affirmative Action and Disability Accommodation
Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Base Pay Range for: WA applicants is $164,652.00 - $230,512.80 Other site ranges may differ
Greater Seattle Area
Working pattern and location restrictions need checking in the full posting.
- Must have can do attitude and be problem solver. - Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications:
Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check