Job description
We offer a hybrid work environment. Most US-based positions can alsobeperformed 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.
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:
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.