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Senior Software Engineer, Big Data

Pay
$170,000–240,000/year · BaseAnnual period assumed — pay source
Employer-matched 401(k) plan The US base salary range for this full-time position is $170,000-$240,000. 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.
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build data processing and exploration pipelines and ML infrastructure

  • Deploy cloud-based technologies for critical projects

  • Write, test, instrument, and deploy code to Kubernetes

  • Help drive innovation and evolution of the platform

From the employer’s posting
Build data processing and exploration pipelines along with ML infrastructure to power our intelligence
Deploy a range of cloud-based technologies for critical projects
Write, test, instrument, and deploy code to our Kubernetes environment
Help drive the innovation and evolution of ZipRecruiter

What you’ll bring

All qualifications

Core experience

  • 5+ years of professional software development, focused on Python and big data
  • Experience with Spark, Kafka, Hadoop, Hive, or other big data tools
  • Strong computer science fundamentals: OOP, data structures, algorithms
  • Experience with Docker and/or Kubernetes

Preferred experience

  • 8+ years of professional software development experience, with a focus on Python and big data technologies
  • Experience with data integration tools like Apache Kafka, Flume, and NiFi
  • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
  • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks
Qualification wording
5+ years of professional software development experience with a focus on Python and big data technologies
Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
Experience with containerization technologies like Docker and/or Kubernetes
8+ years of professional software development experience, with a focus on Python and big data technologies
Experience with data integration tools like Apache Kafka, Flume, and NiFi
Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks
Education & alternatives
- 8+ years of professional software development experience, with a focus on Python and big data technologies - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience - Experience with data integration tools like Apache Kafka, Flume, and NiFi

About Ziprecruiter

We provide an essential service and have a thriving business as a result.

In the employer’s words · Read in context

Apply at Ziprecruiter

Posting record

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Open 6 monthsWe first saw this posting 203 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 15, 2026203 days ago
Recorded sightings
158
Last seen by us
Nov 4, 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

Higher than most similar jobs

$170K–$240K against $127K–$190K, the middle half of what similar US postings state.

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

Time since we first saw it

Day 203

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Ziprecruiter is hiring

15 open jobs

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

  • Data Engineer hiring is picking up
  • Its jobs tend to stay up a long time
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.

  • Python
  • Azure
  • Databricks
  • Delta Lake
  • Docker
  • Hadoop
  • Hive
  • Kafka
  • Kubernetes
  • MongoDB
  • Spark
  • GCP
Where the posting names them
Minimum Qualifications: - 5+ years of professional software development experience with a focus on Python and big data technologies - Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies
Preferred Qualifications: - 8+ years of professional software development experience, with a focus on Python and big data technologies - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
- Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB - Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks As part of our team you’ll enjoy:
- Experience with data integration tools like Apache Kafka, Flume, and NiFi - Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB - Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks
- Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms - Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications:
- 5+ years of professional software development experience with a focus on Python and big data technologies - Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies - Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience - Experience with data integration tools like Apache Kafka, Flume, and NiFi - Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
- Deploy a range of cloud-based technologies for critical projects - Write, test, instrument, and deploy code to our Kubernetes environment - Help drive the innovation and evolution of ZipRecruiter

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has Ziprecruiter posted this job before?

Yes. We’ve followed one other Senior Software Engineer, Big Data job there since April 2026. It is still up.

  1. Place not statedStill up after 203 days, first seen Apr 15
  2. This jobUp 203 days so far, first seen Apr 15

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 ↗

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:

Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result.

Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives.

Responsibilities:

  • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence
  • Deploy a range of cloud-based technologies for critical projects
  • Write, test, instrument, and deploy code to our Kubernetes environment
  • Help drive the innovation and evolution of ZipRecruiter

Minimum Qualifications:

  • 5+ years of professional software development experience with a focus on Python and big data technologies
  • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
  • Experience with containerization technologies like Docker and/or Kubernetes

Preferred Qualifications:

  • 8+ years of professional software development experience, with a focus on Python and big data technologies
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Experience with data integration tools like Apache Kafka, Flume, and NiFi
  • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
  • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks

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 $170,000-$240,000. 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

Source details

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Pay
Employer-matched 401(k) plan The US base salary range for this full-time position is $170,000-$240,000. 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.
Location & working pattern

Santa Monica, CA

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:
More source context
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.
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