Staff Data Platform Engineer (External Data Analytics)

Location: Fully remote within the USA; employees near hirify.global offices may choose hybrid work with in-office attendance on Tuesdays and Wednesdays. Occasional business travel is required.

Salary: $185,000–$200,000 annual hiring range, adjusted based on location, experience, qualifications, and market data.

Company

hirify.global is a self-sustaining nonprofit focused on expanding educational and career opportunities through exam and AP Classwork programs.

What you will do

• Own the technical direction, architecture, evolution, reliability, and escalation path for a shared enterprise data and analytics platform.
• Design and implement streaming and batch pipelines for real-time and historical analysis, writing production infrastructure-as-code with AWS CDK and TypeScript.
• Build curated, governed analytical data products for continuous, year-round data loads and trusted reporting.
• Improve scalability, performance, availability, reliability, cost efficiency, failure recovery, monitoring, security, access controls, lineage, classification, and auditability.
• Establish data contracts with domain teams and partner with product, operations, security, governance, and other stakeholders.
• Lead design and code reviews, mentor engineers, respond to incidents, evaluate architectural patterns, and set responsible AI-assisted coding practices and guardrails.

Requirements

• Current, hands-on TypeScript and/or JavaScript experience with AWS CDK; production infrastructure-as-code work is required from the first day.
• Experience owning the technical direction and architecture of a scalable production cloud data platform using technologies such as Kinesis, Data Firehose, Flink, Lambda, EventBridge, SNS/SQS, Redshift, Athena, Glue, EMR, S3, DynamoDB, or comparable tools.
• Strong analytical data modeling and curated, layered data architecture experience, including monitoring and observability with CloudWatch, Grafana, InfluxDB, or similar tools.
• Experience designing for scalability, performance, cost efficiency, data integrity, and safe recovery from retries and failures, including debugging out-of-order processing, duplicate delivery, or hot partitions in production.
• Experience with data contracts, schema evolution, data quality, access control, classification, lineage, and auditability.
• Ability to establish team-level guardrails and review standards for responsible use of AI coding tools.
• Experience mentoring engineers, leading code and design reviews, serving as an escalation point, and communicating with technical and nontechnical stakeholders.
• Clear written and verbal communication, curiosity about emerging technologies, independent learning, growth mindset, collaborative approach, and commitment to mission-driven educational work.
• Authorization to work in the United States is required.

Nice to have

• SaaS, multi-tenant, or cell-based architecture experience; DuckDB; ML/AI-enabled analytics tools such as SageMaker.
• Experience in regulated or high-governance data environments, hiring or growing a data team, presenting technical roadmaps to nontechnical stakeholders, multi-account AWS at organizational scale, or education technology.

Culture & Benefits

• Full-time employment at a self-sustaining nonprofit with a supportive, collaborative, and mission-driven environment.
• Remote work within the USA, with hybrid flexibility for employees near hirify.global offices and occasional in-person business travel.
• Compensation is designed around qualifications, experience, impact, location, fairness, transparency, and market data.
• Work emphasizes continuous learning, respectful feedback, diverse perspectives, data-informed decisions, and shared success.

Hiring process

• Applications are reviewed immediately and remain open for at least five business days, until the position is filled.
• Typical stages include resume and application review, recruiter phone or video screen, hiring manager interview, live coding or another performance exercise, panel interview, leadership conversation, and reference checks.