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Day 79
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Engineering Manager, Big Data
- Pay
$190,000–240,000/year · BaseAnnual period assumed — pay source
#LI-Remote The US base salary range for this full-time position is $190,000-$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
Remote — work setting source
Listed location: Remote
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingOwn the mission, execution, morale, and code quality of the team
Partner with product managers on the product roadmap
Remove roadblocks, improve processes, and delegate work
Coach, develop, and motivate engineers on the team
Build community and culture across engineering
From the employer’s posting
Own the mission, execution, morale, and code quality of your team
Partner effectively with product managers to maintain and execute against the product roadmap
removing roadblocks, identifying and implementing process improvements, and delegating effectively
Continually develop, coach, motivate, and improve your team, leading by example
Actively build community and culture throughout the engineering organization
What you’ll bring
All qualificationsCore experience
- 6+ years in software or data engineering, building ETL pipelines at scale
- 2+ years as a Data Engineering leader
- Experience designing, building, and supporting production-grade data pipelines
Preferred experience
- 3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching
- Expertise using data to power products, not just to analyze it
- Demonstrated experience innovating novel approaches and solutions to ambiguous problems
Qualification wording
6+ years of experience in a fast-paced software development/data engineering environment, building ETL pipelines at scale
2+ years of experience as a Data Engineering leader
Experience designing, building, and supporting production-grade data pipelines
3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching
Expertise using data to power products, not just to analyze it
Demonstrated experience innovating novel approaches and solutions to ambiguous problems
Education & alternatives
Preferred Qualifications: - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field - 3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching
About Ziprecruiter
To actively connect people to their next great opportunity.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 17, 202679 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 13, 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.
- Hiring is picking up
- Its jobs tend to stay up a long time
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Your next step
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. We’re building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we’re hiring an Engineering Manager to lead our Big Data Engineering team.
Our business is complex; we’re working on data driven systems and applications and we’re looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team’s/tech stack’s health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth.
About the Job:
- Own the mission, execution, morale, and code quality of your team
- Partner effectively with product managers to maintain and execute against the product roadmap
- Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively
- Actively build community and culture throughout the engineering organization
- Continually develop, coach, motivate, and improve your team, leading by example
- Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas
Minimum Qualifications:
- 6+ years of experience in a fast-paced software development/data engineering environment, building ETL pipelines at scale
- 2+ years of experience as a Data Engineering leader
- Experience designing, building, and supporting production-grade data pipelines
Preferred Qualifications:
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field
- 3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching
- Expertise using data to power products, not just to analyze it
- Demonstrated experience innovating novel approaches and solutions to ambiguous problems
As part of our team you’ll enjoy:
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
#LI-Remote
The US base salary range for this full-time position is $190,000-$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.
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
#LI-Remote The US base salary range for this full-time position is $190,000-$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
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
- Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $190,000-$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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.