> Markdown version of [/jobs/ext/4544150-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/4544150-data-engineer-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer III - **Company:** TekWissen LLC - **Location:** Redmond, WA, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Data Analysis, Information Engineering, Data Files, Query Languages, Perl (Programming Language), R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Minitab, Oracle Business Intelligence Enterprise Edition, Systems Development Life Cycle, Reliability Engineering, SAS (Software), Statistical Process Control (SPC), SQL Databases, Test Data, Data Logging, Scripting, Bi Publisher, Reliability of Systems, Information Technology - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/a13f1870-e871-41c8-9d44-68e6bce95a42/data-engineer-iii ## About the Role * 7+ years of related experience (data science, data engineering, data analysis, ML engineering) * 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience * 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience * Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)). * Should have experience developing complex and a variety of reports. * A good candidate has strong analytical skills and enjoys working with large complex data sets. * Experience applying theoretical models in an applied environment * A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred * Experience in Python, Perl, or another scripting language * Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science * Experience in aerospace, manufacturing, test processes and/or test systems development Daily Schedule: * Definition of a test telemetry data logging standard * Creation of a dashboard or tooling application to allows engineers to seamlessly pull data and format it for various analysis in order to 1) identify testing defects, 2) identify potential for test reduction or 3) identify long term trends indicative of manufacturing process deviations/degradations., * Years of Experience: 5 Years * Degree or Certification: Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science * Experience in aerospace, manufacturing, test processes and/or test systems development * Leadership Principle: Ownership, Efficiency, Customer Obsession Top 3 must-have hard skills * Scripting languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) * Experience working reliable data analysis /Hardware reliability * Experience working with large complex data sets ## Description Client is looking for a Data Scientist to join the Kuiper Production Operations team. Our satellite production and testing process generates a massive amount of data that can be used for continuous improvement (predictive maintenance, statistical process controls, outlier analysis), reliability improvement (test requirements modification). In this role you will help engineering and production stakeholders quickly access the available data to accelerate analysis, review and decision making making. Responsibilities * Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions. * Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations * Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers. * Synthesize analysis and communicate insights and recommendations to various audiences * Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps * Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews.