Data Platform Engineer

Summary

Join Prepared, a company revolutionizing emergency response with AI-powered technology, as a Data Engineer. You will design, build, and maintain data pipelines and infrastructure, collaborating with various teams to understand data requirements. This role demands a blend of strategic thinking and hands-on technical skills. As an early team member, you'll shape Prepared's engineering culture. The position offers a competitive salary and comprehensive benefits. Prepared is committed to diversity, equity, and inclusion, creating an inclusive environment where everyone can contribute to improving public safety.

Requirements

• 5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
• Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
• Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
• Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
• Strong programming skills in common data-focused languages (e.g., Python, Scala)
• Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
• Familiarity with AWS-based data solutions
• Strong understanding of data warehousing concepts and technologies (Snowflake)
• Experience documenting data dependency maps and data lineage
• Strong communication and collaboration skills
• Ability to work independently and take initiative
• Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes)

Responsibilities

• Design, implement, and maintain scalable data pipelines and infrastructure
• Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
• Optimize and manage our data storage solutions
• Ensure data quality, reliability, and security across the data lifecycle
• Develop and maintain ETL processes and frameworks
• Work with stakeholders to define data availability SLAs
• Create and manage data models to support business intelligence and analytics

Preferred Qualifications

• Experience in an early-stage startup
• Familiarity with cloud-agnostic data solutions

Benefits

• Remote-First Culture
• Medical, Dental, and Vision Benefits
• 401k + Free Financial Advisors with Betterment
• Monthly Cell Phone Stipend
• Unlimited Time Off + 15 Observed Holidays
• 12 Weeks of Paid Parental Leave (birthing + non-birthing parents)
• Visit a PSAP (911 Center)
• WeWork Membership for All Employees
• Annual Company Offsite
• AI Tools like ChatGPT + NotionAI
• $500 Work from Home Budget