Data Engineer

February 10

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

💵 $150k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Shift5

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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.

cybersecurity • data acquisition • transportation analytics

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🚗 Transport

🚀 Aerospace

💰 $50M Series B on 2022-02

📋 Description

• Shift5 is seeking a Data Engineer to join our growing team. • Interpret requirements and design specifications and take ownership of building features from the ground up. • Write clean, well-documented, scalable, extensible, testable code to ensure application quality and maintainability. • Work cross-functionally across Shift5 engineering teams to build applications that integrate cleanly across other Shift5 componentry. • Design, build, and maintain data processing, storage, and integration pipelines. • Build robust and scalable data products for various stakeholders including data scientists, transportation engineers, and executives that drive insights and decision making. • Create solutions that utilize AWS cloud services that are efficient, reliable, cost-effective, dynamically scalable, and observable. • Collaborate with data scientists and engineers to create semantic data models to represent complex vehicular systems. • Perform analysis on complex data sets to create data ontologies, verify data quality/integrity, and ensure accuracy of data after passing through data pipelines. • You’ll operate in a team-based environment with engineers, product managers, program managers and designers to conceive, implement and shape major features. • This role resides in our Product Engineering team and reports to our Director, Software Engineering.

🎯 Requirements

• 5+ years software/data engineering. • 3+ years experience with a major programming language (GoLang, Java, Python) • 3+ years experience with of relational database experience (PostgreSQL, MySQL, Oracle, etc.). • 3+ years experience with Big Data (Hadoop, Spark) and Data Modeling. • 2+ years experience with containerization and cloud services: Docker, Kubernetes, cloud monitoring tools. • Proven experience building complex data applications from scratch including requirements gathering, design, planning, and implementation. • Familiar with modern data stack components including data ingestion, transformation, and orchestration. • Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos. • Demonstrated delivery of scalable, observable, supportable, reliable data processing applications. • Deep understanding of software engineering practices and concepts. • Experience with end-to-end feature design and ownership. • Comfortable working in a fast-paced environment. • Ability to efficiently multitask and accommodate change of priorities on demand.

🏖️ Benefits

• Base Salary: $150,000-$200,000 • Bonus program and equity in a fast-growing startup • Competitive medical, dental, and vision coverage for employees and their families • Health Savings Account with annual employer contributions • 401k with employer contributions • Employer-paid Life and Disability Insurance • Uncapped paid time off policy • Flexible work & remote work policy • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)