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Software Engineer, Big Data
- Pay
$130,000–175,000/year · BaseAnnual period assumed — pay source
Employer-matched 401(k) plan The US base salary range for this full-time position is $130,000-$175,000. 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
Remote — work setting source
Listed location: Remote
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild 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 qualificationsCore experience
- 2+ years of software development with Python and big data tech
- Experience with Spark, Kafka, Hadoop, Hive, or similar big data tools
- Computer science fundamentals: OOP, data structures, algorithms
- Experience with Docker and/or Kubernetes
Preferred experience
- 4+ 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
2+ 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
4+ 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
- 4+ 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 202646 days ago
- Recorded sightings
- 37
- 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
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
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: - 2+ 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: - 4+ 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:
- 2+ 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.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- 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
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
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:
- 2+ 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:
- 4+ 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 $130,000-$175,000. 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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Employer-matched 401(k) plan The US base salary range for this full-time position is $130,000-$175,000. 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
Remote
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.