---
title: 'Data Engineer at People Data Labs'
canonical: 'https://feeny.ai/job/data-engineer-people-data-labs-remote-njf033219kq1'
type: 'job'
last_seen: '2026-10-28'
---

# Data Engineer at People Data Labs

- **Company:** People Data Labs
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/people-data-labs/98b60e46-4da9-4ca5-8e11-676b23e950c6

## Job description

Note for all engineering roles: with the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them.

## About Us

People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL’s workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more. We are looking for individuals who can balance extreme ownership with a “one-team, one-dream” mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Data Engineering Team is the secret sauce behind all that we do and we are looking for the best of the best. If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it.

## What You Get to Do

- Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks
- Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets.
- Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production.
- Dreaming up solutions to largely undefined data engineering and data science problems.

The Technical Chops You’ll Need

- 3-5+ years of industry experience with clear examples of strategic technical problem-solving and implementation
- Strong software development fundamentals.
- Experience with Python
- Expertise with Apache Spark (Java, Scala, and/or Python-based)
- Experience with SQL
- Experience building scalable data processing systems (e.g., cleaning, transformation)  from the ground up.
- Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar)
- Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills)
- Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)
- Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)
- Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar)
- Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake)

People Thrive Here Who Can

- Balance high ownership and autonomy with a strong ability to collaborate
- Work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)
- Demonstrate strong written communication skills on Slack/Chat and in documents
- Exhibt experience in writing data design docs (pipeline design, dataflow, schema design)
- Scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders

Some Nice To Haves

- Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering
- Experience working with entity data (entity resolution / record linkage)
- Experience working with data acquisition / data integration
- Expertise with Python and the Python data stack (e.g., numpy, pandas)
- Experience with streaming platforms (e.g., Kafka)
- Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness)

Our Benefits

- Stock
- Competitive Salaries
- Unlimited paid time off
- Medical, dental, & vision insurance
- Health, fitness, and office stipends
- The permanent ability to work wherever and however you want

Comp: $180,000-220,000 People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Personal Privacy Policy for California Residents https://www.peopledatalabs.com/pdf/privacy-policy-and-notice.pdf

## About People Data Labs

## Company Overview
- **One-liner**: People Data Labs (PDL) is a B2B data provider that collects, standardizes, and refreshes compliant data on people, companies, and job postings, delivered via API or data-sharing feeds.
- **Entity Type**: Private (Series B, 2021; total funding $55.5M)
- **Headquarters**: San Francisco, California, USA (with an office in New York)
- **Founded**: 2015
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: Data Provisioning, HR Tech, Sales & Marketing Intelligence, Investment Research, Fraud & Identity
- **Target customers**: B2B – companies building data-driven products in HR, sales, marketing, investment, and fraud prevention; primarily mid-market to enterprise.
- **Mission**: “Build the next” (tagline) – focus on enabling companies to build innovative and compliant people data solutions.

## Products & Services
- **Person Data**: Access to over 2 billion profiles with fresh resume data, accurate contact information, and compliant sourcing. Used for enrichment, recruiting platforms, AI models, and custom audiences.
- **Company Data**: Differentiated firmographic dataset with unique headcount insights and strong company attributes.
- **Job Posting Data** (Beta): Global job posting dataset refreshed daily, sourced directly from company career pages.
- **APIs**: Enrich, search, autocomplete, and clean datasets via flexible APIs. Also integrates via Zapier and Make.
- **Data Sharing (Feeds)**: License custom data feeds delivered through AWS, GCP, Snowflake, or Databricks (Delta Share).

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metrics**:
  - Annual Revenue: $38.7M (LinkedIn estimate)
  - Total Funding: $55.5M across 5 rounds (Seed, Series A x2, Series B)
- **Notable Investors / Partners**: Craft Ventures (led Series B), Founders Fund (led Series A), 8VC, Susa Ventures; partners include Snowflake, Databricks, Zapier, Make.
- **Growth Signals**:
  - 78 employees (3.3% YoY growth)
  - Rated 4.0/5.0 on BuiltIn (based on 38 reviews)
  - Ranked best-in-class among 60,000+ products on SourceForge
  - Recent partnership: Fraud.net teams up with PDL to enhance fraud prevention (July 2024)
  - Compliant with ISO 27001 and SOC 2 Type 2

## Competitive Advantages
- **Data compliance**: ISO 27001 and SOC 2 Type 2 certifications provide a security moat for enterprise clients.
- **Scale & freshness**: Over 2 billion profiles; datasets refreshed daily from thousands of compliant sources.
- **Developer-friendly access**: Flexible APIs, native integrations with Snowflake and Databricks, plus low-code tools (Zapier, Make).
- **Multi-vertical coverage**: Serves HR tech, sales & marketing, investment research, and fraud & identity from a single source of truth.

## Strategic Focus
- **Remote-first operations** – fully distributed team with offices in San Francisco and New York.
- **Expanding data partnerships** – emphasis on data sharing via cloud platforms (Snowflake, Databricks).
- **Product development** – launched Job Posting Data (Beta) and continues to enhance API capabilities.
- **Compliance leadership** – doubling down on legal, security, and compliance to attract regulated industries.

## Why Work Here
- **Work model**: Remote-first company; employees work from wherever they work best.
- **Culture**: “Data lovers who lead with creativity and own their s**t” – described as a team that has fun together and wants to win together.
- **Benefits**:
  - Medical, dental, vision insurance (multiple plan options)
  - Unlimited PTO
  - Monthly employee stipends (for internet, hobbies, etc.)
  - Learning & Development opportunities
- **Engineering culture**: Emphasis on solving fascinating data challenges; tech stack includes modern web technologies (full-stack roles).

## Sources
1. [peopledatalabs.com](https://www.peopledatalabs.com/)
2. [peopledatalabs.com/company](https://www.peopledatalabs.com/company)
3. [builtin.com/company/people-data-labs](https://builtin.com/company/people-data-labs)
4. [linkedin.com/company/peopledatalabs](https://www.linkedin.com/company/peopledatalabs)
5. [jobs.ashbyhq.com/people-data-labs](https://jobs.ashbyhq.com/people-data-labs/0de90399-96ce-40dc-ba63-8b954b44ebca)

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