Member of Technical Staff, Data Engineering

Compensation context

Listed annual salary range: $280,000–$450,000/year. The employer’s base salary is stated separately in the Compensation & Benefits Notice below; these figures differ and should not be treated as the same pay guarantee.

Job Title: Member of Technical Staff, Data Engineering

Type of job: full-time

Location: Remote

About the role

This Staff-level, hands-on engineering job suits someone who has taken data infrastructure from nothing to production and can turn scattered operational data into systems that are dependable, accessible, and useful.

You'll be in charge of designing and building the data warehouse, ingestion pipelines, transformations, and the base layer for product analytics.

micro1 is building an AI-native company where people and autonomous agents both need reliable, well-organized data. You'll design the systems behind that, supporting self-serve analytics, automated decisions, and ever-smarter workflows company-wide.

What You'll Do

• Build the data platform from scratch: Design and build the core data models, ETL/ELT pipelines, ingestion layer, and internal data warehouse.
• Create data foundations ready for agents: Design dependable datasets and interfaces, well documented, that AI agents can find, query, and use safely.
• Turn messy data into trusted systems: Convert scattered product and operations data into sources of truth that are consistent and high quality.
• Enable self-serve analytics: Build the infrastructure that lets engineering, product, and business teams get answers themselves without asking for data by hand.
• Own product analytics infrastructure: Set up instrumentation, event tracking, reporting foundations, and data models so the team understands how the product performs and is used.
• Automate data operations: Use AI coding agents and smart automation to speed up building pipelines, validating data, documentation, monitoring, and debugging.
• Build for reliability and scale: Set governance, observability, data quality standards, and architecture patterns that scale, from day one.
• Raise the engineering bar: Coach engineers, set strong data engineering practice, and lead architecture choices by doing the work.

What We're Looking For

• Staff-level engineering skill with broad hands-on experience building and running data platforms in production.
• Proven greenfield work: You personally led the design and build of a data platform from scratch, not only maintained or extended an existing one.
• Deep knowledge of data modeling, data warehouses, ETL/ELT architecture, orchestration, and processing data in a distributed way.
• Strong SQL and Python, plus the engineering fundamentals to build dependable data infrastructure.
• Background with current data tools, for example dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, or equivalents.
• Solid grasp of lineage, data quality, access controls, observability, and dependable production data.
• Background designing the analytics infrastructure behind operational decisions and product insight.
• AI-native engineering habits: AI coding agents are already part of your everyday work, and you actively automate repetitive data engineering and development tasks.
• Can make practical architecture calls that balance scale, simplicity, speed, and engineering velocity.
• Shown technical leadership, such as coaching engineers and setting engineering standards.

Nice to have

• You were a founding or early Data Engineer who built the first true data platform at a company.
• You've designed data systems serving both classic analytics and AI-powered apps or autonomous agents.
• You've built data discovery systems, semantic layers, or structured interfaces that open enterprise data to AI.
• You've used AI agents to automate large parts of building, validating, or maintaining data pipelines.
• You can avoid overengineering while laying foundations that won't have to be rebuilt half a year later.
• You're at ease switching among analytical modeling, data architecture, hands-on debugging, and production pipelines.

Compensation & Benefits Notice

Nationally, base pay for this full-time job runs $200,000–$260,000. Every employee can receive equity, and bonuses tied to performance may also apply depending on the role and company policy. Benefits cover health-insurance premiums (reimbursed at up to 100%), paid time off, a 401(k) with a company match, and other perks meant for a remote-first team that performs at a high level.

micro1 hires on an equal-opportunity basis. Every qualified applicant is considered without regard to age, color, disability, national origin, race, religion, sex (pregnancy, gender identity, and sexual orientation included), veteran status, genetic information, or any other trait that applicable local laws, ordinances, or regulations protect. Applicants who need help or a reasonable accommodation while applying can ask for it.

AI tools help screen and assess candidates in the hiring process. They are meant to support people's hiring decisions, not to take them over.

Application process

Submit your application through NorthStar. Employer screening may follow after submission.