Data Engineer

Support aircraft sustainment and logistics initiatives through data collection, ETL pipeline development, exploratory and statistical analysis, predictive modeling, knowledge graph capabilities, and production model integration. Monitor data quality and model performance while collaborating with engineering teams and government stakeholders in an Agile environment. The role requires NLP, Databricks, PySpark, SQL, predictive modeling, data governance, visualization, and an active Secret clearance. The summary above was generated by AI About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets., Redhorse Corporation is seeking a Data Scientist to support Condition-Based Maintenance Plus (CBM+) initiatives to enhance aircraft sustainment and optimize maintenance and logistics efficiency. The Data Scientist will help provide quality data and develop predictive maintenance and logistics forecasting models to support decision-making tools for program-wide initiatives serving U.S. Air Force (USAF) stakeholders., * Support CBM+ program initiatives from inception to deployment, ensuring alignment with overarching business and mission objectives.

• Oversee end-to-end data collection and processing, including the implementation, sustainment, and optimization of ETL pipelines.
• Perform Exploratory Data Analysis (EDA), statistical analysis, and data visualization to identify trends, correlations, and actionable insights that drive product development.
• Build and maintain knowledge graph capabilities.
• Collaborate with multi-functional engineering teams to integrate trained models into production applications and APIs.
• Continuously monitor data quality and model performance to detect and mitigate drift and degradation., Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards. Top Skills: AirflowClaude CodeDbtFivetranGithub ActionsIcebergMcp ServersParquetPythonSnowflakeSQLTerraform Jellyfish

Senior Data Engineer

2 Days Ago Remote or Hybrid United States 165K-235K Annually Senior level 165K-235K Annually Senior level Big Data * Cloud * Productivity * Software * Database * Analytics * Automation Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets. Top Skills: Amazon AuroraAmazon RdsApache AirflowSparkBigQueryCdcClickhouseCloud Object StorageDatabricksDelta LakeIamOpenmetadataPostgresSnowflakeUnity Catalog Centerfield

Senior Data Engineer

6 Days Ago Remote or Hybrid United States Senior level Senior level AdTech * Consumer Web * Digital Media * eCommerce * Marketing Tech * SEO Build and support scalable data platforms and pipelines, leading migrations such as Snowflake to BigQuery and transitioning reporting to Looker. Responsibilities include data architecture, ETL/ELT, API and marketing integrations, data quality, production troubleshooting, warehousing, performance optimization, and platform modernization. The role partners with analytics and business teams, owns projects through production, documents solutions, and provides technical guidance. Top Skills: AWSAzureBigQueryConfluenceDraw.IoGCPGitJIRAKafkaLookerLucidchartMiroModeNotionPower BIPythonSnowflakeSparkSQLTableauTalend

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

This role involves working within cross-functional teams in an Agile development environment. We operate in a fast-paced, evolving domain, and are seeking creative, motivated, and talented individuals who are eager to learn, grow, and deliver effective, high-impact solutions., * Active U.S. Government Secret Security Clearance (U.S. Citizenship required; applicants without an active Secret Clearance cannot be considered).

• Bachelor’s degree in a STEM (Science, Technology, Engineering, or Mathematics) field or proven equivalent professional experience.
• NLP Experience: 2+ years of experience incorporating applied Natural Language Processing (NLP), data labeling, and entity or keyword extraction.
• Analytics & Data Engineering: Proven proficiency with Databricks, PySpark, SQL, data governance frameworks, and technical documentation standards.
• Statistical Foundations: Deep understanding and practical application of statistical distributions for data assessment, data analysis, and predictive modeling.
• Collaboration & Self-Direction: Demonstrated self-starter capabilities with strong interpersonal skills to foster positive stakeholder relationships and execute tasks independently.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical findings for non-technical and executive audiences.
• Tools: Experience with project management and productivity platforms including Jira, Confluence, Lucidchart, and Microsoft Office Suite (Word, Excel, PowerPoint). Experience with data end products such as Qlik Sense, Streamlit and other visualization or dashboard tools.
• Travel: Ability to travel, minimal, as needed to engage with government customers and project stakeholders.
• Growth: Possess a desire to learn and advance skills in the aviation data space., * Master’s degree in a STEM field, with a preference for Data Science, Data Analytics, or Computer Science.
• Advanced expertise in applying artificial intelligence and machine learning (AI/ML) to predictive maintenance and defense logistics challenges.
• Direct experience developing sensor-based failure prediction models and equipment health indicators.
• Practical experience conducting Monte Carlo simulations and calculating statistical confidence intervals.
• Demonstrated expertise in end-to-end data pipeline engineering including customer-facing UI/UX integration.

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse’s comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.