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Member of Technical Staff | Data Engineering, Finance

Menlo Park · Menlo Park, United States

Actively hiring, first seen by us 5 days ago
Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting

At Poesis, we're building an AI-native investment firm where data quality directly shapes what our models learn and the decisions they make.

Build reliable autonomous agents that detect, investigate and resolve financial data errors, knowing when to escalate to humans.

  • Build autonomous agents that detect, investigate and resolve financial data errors

  • Handle point-in-time accuracy and survivorship bias in financial datasets

  • Resolve data integrity issues like conflicting prices, corporate actions and security IDs

  • Build scalable pipelines to integrate new financial datasets

From the employer’s posting
At Poesis, we're building an AI-native investment firm where data quality directly shapes what our models learn and the decisions they make. Financial data is complex, and making it accurate, consistent and reliable at scale is one of our most important engineering challenges. As a Member of Technical Staff focused on data engineering, you'll build reliable autonomous AI agents that detect and resolve complex data issues and strengthen the foundation of our investment process. This is an opportunity to pioneer a new approach to financial data engineering, with AI at the core of how data systems are built and operated.
Build reliable autonomous agents that detect, investigate and resolve financial data errors, knowing when to escalate to humans.
Build reliable autonomous agents that detect, investigate and resolve financial data errors
Tackle point-in-time accuracy, survivorship bias and other challenges that can undermine financial models.
Investigate and resolve complex data integrity issues, from conflicting prices and corporate actions to inconsistent security identifiers.
Build scalable pipelines to integrate new financial datasets and ensure consistency across sources.

What you’ll bring

All qualifications

Core experience

  • You have experience with Bloomberg, S&P Capital IQ, FactSet, LSEG/Refinitiv, MSCI Barra, or similar data providers.
  • Experience with Snowflake, Databricks, Airflow, AWS, or related technologies.
Qualification wording
You have experience with Bloomberg, S&P Capital IQ, FactSet, LSEG/Refinitiv, MSCI Barra, or similar data providers.
Experience with Snowflake, Databricks, Airflow, AWS, or related technologies.

Benefits in the posting

Full benefits wording
  • We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches, commuter benefits, and more.

From the employer’s posting.

About Poesis

Whoever builds the leading intelligence for finance will create far more than returns.

In the employer’s words · Read in context · Company website ↗

Apply at Poesis

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
5
Last seen by us
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 5

Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Poesis is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 50% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Databricks
  • Snowflake
  • Airflow
Where the posting names them
Nice to Have - Experience with Snowflake, Databricks, Airflow, AWS, or related technologies. Location

Your next step

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Poesis

Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.

About the Role

At Poesis, we're building an AI-native investment firm where data quality directly shapes what our models learn and the decisions they make. Financial data is complex, and making it accurate, consistent and reliable at scale is one of our most important engineering challenges. As a Member of Technical Staff focused on data engineering, you'll build reliable autonomous AI agents that detect and resolve complex data issues and strengthen the foundation of our investment process. This is an opportunity to pioneer a new approach to financial data engineering, with AI at the core of how data systems are built and operated.

Challenges You'll Work On

  • Build reliable autonomous agents that detect, investigate and resolve financial data errors, knowing when to escalate to humans.

  • Tackle point-in-time accuracy, survivorship bias and other challenges that can undermine financial models.

  • Investigate and resolve complex data integrity issues, from conflicting prices and corporate actions to inconsistent security identifiers.

  • Build scalable pipelines to integrate new financial datasets and ensure consistency across sources.

About You

  • You have deep, hands-on experience building production data pipelines and working with financial data at a quantitative investment firm, data provider or similar environment.

  • You have experience with Bloomberg, S&P Capital IQ, FactSet, LSEG/Refinitiv, MSCI Barra, or similar data providers.

  • You have tackled complex financial data issues involving corporate actions, security mapping and point-in-time accuracy, and understand their impact on backtesting and risk models.

  • You can independently troubleshoot complex data issues, work with vendors when needed and develop practical solutions.

  • You've built AI agents or are excited to develop autonomous systems that solve complex, real-world problems.

Nice to Have

  • Experience with Snowflake, Databricks, Airflow, AWS, or related technologies.

Location

Hybrid, 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.

Benefits

We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches, commuter benefits, and more.

Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.

Working at Poesis

As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.

Source details

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Pay

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Location & working pattern

Menlo Park, United States

Location Hybrid, 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available. Benefits
Work authorization
We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches, commuter benefits, and more. Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees. Working at Poesis

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