Member of Technical Staff, Data Engineering
Listing checked October 25, 2026 · pay as published by micro1
Key details
- Pay
- $7–8/hr
- Location
- Remote
- Job type
- full-time
- Posted
- October 24, 2026
Overview
This is a staff-level, hands-on engineering role for someone who has built data infrastructure from zero to production and knows how to turn fragmented operational data into reliable, accessible, and actionable systems. You'll own the architecture and implementation of our data warehouse, ingestion pipelines, transformations, and product analytics foundations. We're building an AI-native organization where both humans and autonomous agents need access to trustworthy, well-structured data. You'll design the systems that make this possible, enabling self-service analytics, automated decision-making, and increasingly intelligent workflows across the company.
What You'll Do8
- Architect and implement the internal data warehouse, ingestion infrastructure, ETL/ELT pipelines, and core data models from scratch.
- Design reliable, well-documented datasets and interfaces that AI agents can safely discover, query, and use.
- Transform fragmented operational and product data into consistent, high-quality sources of truth.
- Build infrastructure that allows engineering, product, and business teams to answer questions independently without manual data requests.
- Establish event tracking, instrumentation, data models, and reporting foundations to understand product usage and performance.
- Use AI coding agents and intelligent automation to accelerate pipeline development, data validation, documentation, monitoring, and troubleshooting.
- Set data quality standards, observability, governance, and scalable architectural patterns from the beginning.
- Mentor engineers, establish strong data engineering practices, and lead architectural decisions through hands-on execution.
Requirements10
- Staff-level engineering expertise with extensive hands-on experience building and operating production data platforms.
- Proven greenfield experience: you've personally led the design and implementation of a data platform from scratch, not just maintained existing infrastructure.
- Deep understanding of data warehouses, ETL/ELT architectures, data modeling, orchestration, and distributed data processing.
- Strong proficiency in SQL and Python, with software engineering fundamentals for building reliable data infrastructure.
- Experience with modern data technologies such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Dagster, or equivalent tools.
- Strong understanding of data quality, lineage, observability, access controls, and production data reliability.
- Experience designing analytics infrastructure that supports product insights and operational decision-making.
- AI-native engineering habits: you already use AI coding agents daily and actively automate repetitive development and data engineering tasks.
- Ability to make pragmatic architectural decisions, balancing scalability, simplicity, performance, and engineering velocity.
- Demonstrated technical leadership, including mentoring engineers and establishing engineering standards.
Who Should Apply
The ideal candidate has staff-level experience building data platforms from scratch, deep knowledge of data warehouses and ETL/ELT, and strong SQL and Python skills. You should be comfortable with modern tools like Snowflake, dbt, or Airflow, and already use AI coding agents in your daily workflow. If you've been a founding data engineer and enjoy mentoring while making pragmatic architectural decisions, this role fits.
Salary Insight
The pay range for this full-time position is a base salary of $200,000 to $260,000. All employees are eligible for equity compensation, and performance-based bonuses may also be available depending on role and company policies. Benefits include up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits for a remote-first workforce.
Pay and demand for Data Engineering roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$7–8/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,233 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Most Data Engineering roles pay $40–$95 per hour. This role's pay sits below that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,401
- Listed in last 30 days
- 735
- Remote
- 97%
Hiring most right now: micro1 (383) · SME Careers (254) · Mercor (195)
Most requested skills · share of roles
- ai evaluation13%
- llm evaluation12%
- ai training12%
- data annotation11%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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