---
title: 'Senior Software Engineer, Big Data, Tech Enablement at ZipRecruiter'
canonical: 'https://feeny.ai/job/senior-software-engineer-big-data-tech-enablement-ziprecruiter-remote-wnxgfy4wadm1'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Software Engineer, Big Data, Tech Enablement at ZipRecruiter

- **Company:** ZipRecruiter
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-06
- **Apply:** https://job-boards.greenhouse.io/ziprecruiter/jobs/8348432

## Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

The Tech Enablement team is central to the velocity and quality of our entire engineering organization. Our mission is to build the scalable, reliable, and efficient infrastructure, tools, and processes that allow every product team to quickly deliver innovative products and services to our customers.

The Tech Enablement team ensures engineering efficiency and provides the foundational building blocks for the entire technology stack:

- Data Infrastructure & Systems: We help developers at ZipRecruiter sustainably follow best practices and implement robust solutions by allowing engineers and data scientists to focus less on underlying technologies and more on building products and features that delight ZipRecruiter’s customers. To do this, the team builds, maintains, and drives adoption of tools for engineers that aid in data processing, dataset ingestion, dataset discoverability, data pipeline orchestration, data documentation, data analysis, building ML model pipelines, and running experiments.
- AI Enablement: We help developers at ZipRecruiter leverage AI as a part of their tech stack by building and maintaining an agentic AI data exploration and analysis tool to democratize access to data, collaborate on insights, and accelerate data driven decision making. Starting from a natural language chat interface, the AI assisted tool assists with every aspect of using data, from finding the right data sources and writing queries to using them to visualize and analyze the results. We also manage an LLM Gateway which powers all of ZipRecruiter’s LLM usage in our customer facing products.

Key Focuses:

As a Big Data Engineer in Tech Enablement, you will:

- Data Ingestion & Datalake Management: Design, build, deploy, and maintain the data pipelines and systems that make web events available in our datalake and via event streams for various downstream applications to process.
- Big Data Processing: You'll tackle challenges with large, evolving datasets, using a mix of batch and streaming techniques to make critical trade-offs between speed, efficiency, and reliability.
- MLOps: Design, build, deploy, and maintain frameworks and systems that accelerate ML development across teams and products at ZipRecruiter, with the goals of improving the velocity, quality, observability, and reliability of ML development and ML powered products.
- Data Documentation Framework: Design, build, deploy, and maintain frameworks and systems to improve the comprehensiveness and quality of data documentation at ZipRecruiter through processes and tooling that allows both humans and automated processes to easily add, maintain, and discover documentation.
- Data Analysis Agent: Design, build, deploy, and maintain an agentic data exploration and analysis tool, Sift, to democratize access to data, collaborate on insights, and accelerate data driven decision making.

Minimum Qualifications:

- 4+ years of professional software development experience, including building and operating data pipelines that feed into a customer facing product
- Hands-on Apache Spark experience: writing, tuning and debugging batch and/or streaming jobs at scale
- Experience deploying and operating containerized services and batch jobs
- Solid computer science fundamentals: data structures, algorithms, distributed systems, and testing
- Professional software development experience, including building and operating data pipelines and infrastructure that feed into a customer facing product

Preferred Qualifications:

- 4+ years of professional software development experience with a focus on data-intensive systems
- Working knowledge of AWS (S3, IAM, EC2, MSK or equivalents) and of instrumenting jobs with metrics, logs and alerts
- Experience with a data lake stack: parquet on object storage, a data catalog such as AWS Glue, and an open table format such as Apache Iceberg or Delta Lake
- Streaming experience: Kafka producers and consumers, Apache Flink, and/or Spark Structured Streaming
- Experience with a workflow orchestrator such as Apache Airflow: authoring DAGs, backfills, dependency management and on-call for scheduled pipelines
- Experience with open table format internals: schema evolution, partitioning, and compaction
- Experience with deploying services on Kubernetes with Docker
- Experience building and maintaining a data platform that powers a user-facing product including infrastructure and tools for streaming and batch data ingestion, building ETL pipelines, data permissions management, and data discovery.
- BS/MS/PhD in Computer Science, Mathematics, Physics or a related field, or equivalent practical experience

As part of our team you’ll enjoy:

- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan

The US base salary range for this full-time position is $190,000 - $250,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

#LI-Remote

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

## About ZipRecruiter

## Company Overview
- **One-liner**: ZipRecruiter operates a leading AI-powered online employment marketplace that actively connects job seekers with employers.
- **Entity Type**: Public (NYSE: ZIP)
- **Headquarters**: Santa Monica, California, USA (with additional offices in Phoenix, Arizona; London, UK; Tel Aviv, Israel)
- **Founded**: 2010
- **Founders**: Ian Siegel, Joe Edmonds, Ward Poulos, Adam Tichauer

## Core Business
- **Primary industry**: Online employment marketplace / human resources technology
- **Target customers**: B2B (employers of all sizes, from SMBs to enterprises) and B2C (job seekers)
- **Mission or purpose statement**: “To actively connect people to their next great opportunity.”

## Products & Services
- **ZipRecruiter Marketplace**: An AI-powered two-sided platform where employers post jobs and receive matched candidate recommendations, and job seekers find relevant roles and get real-time application status updates. (SaaS / Marketplace)
- **Phil (AI Career Advisor)**: An AI-driven assistant that personalizes the job seeker experience by recommending opportunities and providing guidance. (AI / Software)
- **Employer Tools**: Suite of hiring solutions including job distribution, candidate screening, and analytics dashboards. (SaaS)

## Market Standing
- **Valuation/Market Cap**: Not publicly available in the provided sources (refer to public stock listings for current market cap).
- **Key Metric**: Annual revenue reported in SEC filings (10‑K for fiscal year ended December 31, 2025 is available); the company employed over 800 people as of that date.
- **Notable Investors/Partners**: The company is publicly traded; notable early investors include institutional venture capital firms (specific names not provided in search results).
- **Growth Signals**:
  - Over 4.9 million businesses have used ZipRecruiter for hiring, and 172 million+ job seekers have used the platform.
  - #1 rated hiring site in the U.S. and #1 rated job search app on iOS and Android.
  - Recognized by Comparably, Newsweek (“Most Loved Workplaces” 2023), and Great Place to Work (2025).
  - Maintains a remote/hybrid workforce and offices in multiple locations.

## Competitive Advantages
- **AI‑powered matching technology**: Advanced deep‑learning NLP trained on billions of interactions continuously improves the relevance of job recommendations for both sides of the marketplace.
- **Network effects**: A large, active user base creates a virtuous cycle that attracts more employers and job seekers.
- **Brand recognition**: Consistently ranked as the #1 job site in the U.S., with high trust among job seekers and employers.

## Strategic Focus
- Continued investment in AI and machine learning to enhance matching accuracy and user experience.
- Scaling the marketplace by attracting more employers and job seekers, particularly in enterprise and staffing segments.
- Expanding remote‑work capabilities and maintaining a flexible, hybrid workforce to attract top talent.

## Why Work Here
- **Culture & Values**: The company emphasizes “fearless builders,” “excellence without egos,” inclusion, and belonging. Employee‑led groups and a safe environment for risk‑taking are core.
- **Work Flexibility**: Remote‑friendly for many roles; collaboration weeks are held several times a year to bring teams together in person. Offices are open in Santa Monica, Phoenix, and London.
- **Compensation & Perks**: Competitive compensation packages, health benefits, financial wellness resources, ample time off, and a stocked kitchen at offices.
- **Recognition**: Named a “Great Place to Work” (2025) and “Most Loved Workplace” (Newsweek 2023). Over half of leadership positions are filled internally, reflecting a commitment to career development.
- **Engineering Culture**: Focus on big data, machine learning, full‑stack development, and site reliability; many remote and on‑site engineering roles open (Senior Software Engineer, ML, Big Data, etc.).

## Sources
1. [sec.gov – ZipRecruiter 10‑K Filing (FY2025)](https://www.sec.gov/Archives/edgar/data/1617553/000161755326000025/ziprecruiterinc_20260225x.pdf)
2. [ziprecruiter.com – About Us](https://www.ziprecruiter.com/about)
3. [ziprecruiter.com – Careers](https://www.ziprecruiter.com/careers)
4. [greenhouse.io – ZipRecruiter Job Board](http://job-boards.greenhouse.io/ziprecruiter)
5. [linkedin.com – ZipRecruiter Company Page](https://www.linkedin.com/company/ziprecruiter)

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