[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Shift5 is building the data platform for onboard operational technology (OT). They are seeking a Data Engineer to design, build, and maintain data processing, storage, and integration pipelines while collaborating with a team of engineers and product managers to create impactful data products.

Responsibilities

• 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

Skills

• 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)

Company Overview