Data Engineer
Shift5
Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance. We are seeking a Data Engineer to join our growing Product Engineering team. In this role, you will design, build, and maintain data processing, storage, and integration pipelines, reporting to the Off Vehicle Manager, Software Engineering, and working in a team-based environment with engineers, product managers, program managers, and designers. What You’ll Do Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines. Feature Ownership: Interpret requirements and design specifications, taking full ownership of building features from the ground up. Write Quality Code: Write clean, well‑documented, scalable, extensible, and testable code to ensure application quality and maintainability. Cross‑Functional Collaboration: Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry. Support Stakeholders: Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision‑making. Cloud Optimization: Create efficient, reliable, cost‑effective, dynamically scalable, and observable solutions utilizing AWS cloud services. Data Analysis & Quality: Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines. Field Support: Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment. What Success Looks Like High‑Impact Delivery: You successfully deliver scalable, observable, supportable, and reliable data processing applications that empower customers to run smarter, safer fleets. End‑to‑End Ownership: You confidently steer features from initial requirements gathering and design through planning and implementation in a fast‑paced environment. Collaborative Impact: You actively shape product design alongside multidisciplinary teams, contributing directly to a culture of high performance and mission readiness. Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company. What We’re Looking For Engineering Experience: 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts. Core Languages: 2+ years of experience with a major programming language (GoLang, Java, or Python). Databases & Big Data: 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling. Cloud & Containers: 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools. Data Pipelines: Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos. Modern Data Stack: Familiarity with modern data stack components including data ingestion, transformation, and orchestration. U.S. Citizenship: required and ability to obtain a security clearance. Data Architecture: Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift). DevOps Practices: Proficiency with CI/CD, source control, design reviews, and integrating observable practices. Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts. Benefits Bonus program and equity in a fast‑growing startup. Competitive salary and stock options in a fast‑growing startup. Employer‑paid medical, dental and vision coverage. Health Savings Account with annual employer contributions. Life Insurance. Uncapped paid time off policy. Tax‑deferred public transit benefits with Metro SmartBenefits (DC/MD/VA). Equal Opportunity Employer Shift5 is committed to equal employment opportunity and affirmative action. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Shift5 is an Equal Opportunity Employer. #J-18808-Ljbffr Shift5
$138k - $185k
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$119.7k - $199.3k
...Why This Role Matters We are seeking a skilled and experienced Senior Data Engineer for our Data and AI team to contribute to the development of innovative AI-powered projects at The Washington Post. As a key member of the team, you will design, build, and deploy data...$172.2k - $215.2k
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$76.1k - $136.7k
...training and more. Join us to drive positive, lasting change that moves missions and the government forward. Job Description As a Data Engineer at the Senior Analyst level, you will be a key contributor to the team responsible for building and maintaining the data...Work at officeLocal area$132.5k - $172.5k
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