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ZipRecruiter

Engineering Manager, Big Data

ZipRecruiter is hiring an Engineering Manager, Big Data. It pays $190k-$240k a year and Level rates it ; you can apply on ZipRecruiter.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Spark, Hadoop and Kafka among its tools and skills.
  • Level classes it as a lead role.
  • ZipRecruiter has 51 other open roles on Level.

AI in this role

Lead the big data engineering team building large-scale data pipelines and supporting data-driven marketplace systems.

SparkHadoopKafka
big-dataetlengineering-managementdata-pipelines

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

How we rate this

Engineering Manager, Big Data at ZipRecruiter rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Big DataETLEngineering ManagementData PipelinesSparkHadoopKafka

Questions you could be asked

  1. Tell me about a project where big data was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where engineering management was part of your work. What did you do?
  4. Tell me about a project where data pipelines was part of your work. What did you do?
  5. Walk me through how you've used Spark in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Big Data, ETL, Engineering Management, Data Pipelines, and Spark. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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