Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $130k - $170k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Shift5

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🚗 Transport

🚀 Aerospace

💰 $50M Series B on 2022-02

Cybersecurity • Transport • Aerospace

Shift5 is a company that provides an observability platform for onboard operational technology (OT), bringing order to the complexity of onboard data in critical defense and transportation assets. Their solutions are designed to enhance the security, availability, safety, resilience, and reliability of fleets through real-time data access and observability. Shift5's services include predictive maintenance, cybersecurity, compliance, and GPS integrity, serving industries such as defense, aviation, and rail. The company aims to unlock the complete ecosystem of onboard data, enabling operations, maintenance, and cybersecurity teams to make rapid and well-informed decisions.

📋 Description

• Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines. • Interpret requirements and design specifications, taking full ownership of building features from the ground up. • Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability. • Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry. • Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making. • Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services. • Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines. • 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.

🎯 Requirements

• 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts. • 2+ years of experience with a major programming language (GoLang, Java, or Python). • 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling. • 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools. • Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos. • Familiarity with modern data stack components including data ingestion, transformation, and orchestration. • U.S. citizenship required and ability to obtain a security clearance. • Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift). • Proficiency with CI/CD, source control, design reviews, and integrating observable practices. • 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 • Flexible work & remote work policy • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)