Recruiting Analytics Operations

Recruiting Analytics Operations Engineer Jobs

2 jobs found

Today

Data Engineer - Talent Acquisition Operations

Synopsys Software Integrity San Francisco, CA

San Francisco, CA

Today

$110k - $145k/yr Full time Data Data Analysis Data Analytics

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Job Description

Synopsys Software Integrity is hiring a Data Engineer - Talent Acquisition Operations to strengthen how recruiting data is collected, connected, and used across HR and talent acquisition systems. This on-site role in San Francisco, CA focuses on building reliable pipelines, improving data quality, and delivering reporting and analytics that support more informed hiring decisions.

What you will do

Build and maintain data pipelines for recruiting and HR systems
Integrate data from multiple talent acquisition platforms
Enhance data accuracy, consistency, and accessibility across recruiting workflows
Create reports and dashboards covering hiring metrics
Automate recurring data-processing tasks
Work closely with HR, analytics, and engineering teams to support operational needs

Required qualifications

Bachelor’s degree in Computer Science, Data Engineering, or a related field
Experience with SQL, Python, and data pipeline development
Knowledge of databases, data integration, and ETL processes
Strong analytical and problem-solving skills
Ability to handle confidential employee and recruiting data responsibly

Technologies

SQL
Python
ETL

Compensation and location

Location: San Francisco, CA (in person)
Salary: USD 110,000 - 145,000 per year

Benefits

Competitive annual salary
Health and wellness benefits, subject to eligibility
Paid time off, subject to eligibility
Retirement benefits, subject to eligibility
Professional development opportunities
401(k) matching
Dental insurance
Employee discount
Flexible schedule
Health insurance
Life insurance
Paid time off
Relocation assistance
Vision insurance

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5d ago

Data Engineer - Talent Acquisition Operations

Palantir Technologies New York, NY

New York, NY

5d ago

$100k - $145k/yr Full time Analytics Application Support Business Analytics

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Job Description

Build the data backbone behind recruiting operations at Palantir. This onsite role in New York, NY focuses on creating dependable datasets, reporting workflows, and automations that help Recruiting and Hiring teams run smoothly. You will work cross-functionally to translate recruiting processes into operational tools, dashboards, and analytics-ready data.

Compensation: USD 100,000 - 145,000 per year. Total compensation may also include Restricted Stock units, sign-on bonus, and other potential future incentives.

Responsibilities

Build, maintain, and improve datasets and pipelines supporting Recruiting
Integrate data from recruiting systems including Lever, Workday, Foundry, and other sources
Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits
Evaluate existing integrations to reduce latency and implement necessary changes
Partner with central Data and platform teams on warehouse connections, schema changes, API behavior, and source-system migrations
Support integrations between recruiting systems and internal tools, including writeback of data updates
Design data access and reporting solutions that respect confidentiality, role-based permissions, and regional or organizational access boundaries
Create clear documentation for sensitive workflows and ensure operational users understand data limitations
Proactively identify improvements to reporting and workflows as recruiting processes evolve
Partner with engineering, product, and business leaders to understand user behavior and patterns across the platform
Monitor pipelines for stability and suggest or implement efficiency initiatives

Requirements

Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business, or other quantitative fields
1+ years of experience in a data analytical role
Expertise in Python and data manipulation to answer complex questions; experience with pySpark, pandas, or polars is a plus
Strong SQL skills and experience working with relational or structured data
Proficiency with BI tools and data organization and analysis
Fluency in TypeScript, or another general-purpose programming language
Ability to create reusable data models, testing frameworks, and data quality checks

Technologies

Python, pySpark, pandas, polars
SQL, TypeScript
Lever, Workday, Foundry, Contour
BI tools

Benefits

Medical, dental, and vision insurance for employees (and eligible dependents), plus voluntary life insurance
Basic life, AD&D, and disability insurance automatically provided
Commuter benefits
Take what you need paid time off, not accrual based
2 weeks paid time off built into the end of each year (subject to team and business needs)
10 paid holidays throughout the calendar year
Supportive leave of absence program, including time off for military service and medical events
Paid leave for new parents and subsidized back-up care for all parents
Fertility and family building benefits, including adoption, surrogacy, and preservation
Stipend to help with expenses that come with a new child
401k plan enrollment option

What We Value

Proven ability to build and maintain data pipelines, datasets, and analytics data products
Hands-on experience with Foundry, Contour, or comparable data and analytics platforms
Background working with Recruiting, HR, People, CRM, ATS, or other operational data; Lever experience preferred
Proficiency integrating APIs, data warehouses, and SaaS systems
Familiarity with workflow automation, writeback processes, and event-driven integrations
Working knowledge of data governance, privacy, retention, access controls, and compliance-related workflows

Life at Palantir

Employees are encouraged to work from the offices to foster connectivity and innovation
Many teams offer hybrid options (WFH a day or two a week)
If a role allows for “Remote” work on an exceptional basis, you must work from the state in which you are employed
For this role, the posting is Onsite, so you are required to work from an office

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Recruiting Analytics Operations Engineer Jobs

Data Engineer - Talent Acquisition Operations

Data Engineer - Talent Acquisition Operations

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