Resumo da vaga

Staff Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What You'll Do

  • Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
  • Feature Ownership & Leadership: Interpret requirements and design specifications, taking full ownership of building features from the ground up. Mentor and lead the rest of your team to deliver the right solutions.
  • 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 complex data applications from scratch—including requirements gathering, design, planning, and implementation—in a fast-paced environment.
  • Collaborative Impact: You actively shape product design alongside multidisciplinary teams, acting as a technical leader and force-multiplier for your peers.
  • Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company.

Required:

  • Engineering Experience: 6+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.
  • Core Languages: 6+ years of experience with a major programming language (GoLang, Java, or Python).
  • Databases & Big Data: 6+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 6+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.
  • Cloud & Containers: 4+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.
  • Data Pipelines & Stack: Expertise with batch and streaming data pipelines (Apache Airflow, Benthos) and familiarity with modern data stack components (ingestion, transformation, orchestration).

Preferred:

  • U.S. citizenship required and ability to obtain a security clearance.
  • Education: MS in Computer Science, Cybersecurity, Cyber Intelligence, or equivalent.
  • 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.
  • Advanced Languages & Tools: Experience with Rust, SDK design, and implementation (including code gen of type-specific bindings to Python, Go, TypeScript).
  • Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.

Compensation & Benefits

  • Base Salary: $185,000 - $220,000
  • 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
  • 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)
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StackAWS, CI/CD, DockerSkills principais
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