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Data Engineer

  • Hybrid
  • 0-3 years

Salary

$100,000 - 145,000/ year

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Description

A World-Changing Company

The company builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

Responsibilities

  • As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-functionally with Hiring Operations, Recruiters, Data, Security, Privacy, and other technical and non technical partners to turn complex recruiting processes into reliable datasets, dashboards, and operational tools. The ideal candidate enjoys working at the intersection of data engineering and business operations. You will be expected to understand how recruiting workflows generate data and build practical solutions that improve day to day operations.
  • This role is well suited for someone who can move fluidly between building a pipeline, debugging an integration, creating a dashboard, documenting an operating procedure, and helping stakeholders understand how to use the resulting tool.
  • Core Responsibilities
  • Build, maintain, and improve datasets and pipelines supporting Recruiting
  • Integrate data from systems such as Lever, Workday, Foundry, and other recruiting systems
  • Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits
  • Evaluate existing data integrations for opportunities 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 that operational users understand the limitations of the data
  • Proactively identify opportunities to improve reporting and workflows as recruiting processes change
  • Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform
  • Monitor pipelines for stability, suggest and implement efficiency initiatives
  • 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
  • What We Require
  • 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, SQL, and the organization and analysis of data
  • Fluency in TypeScript, or another general-purpose programming language
  • Ability to create reusable data models, testing frameworks, and data quality checks

Conditions

The salary range for this position is estimated to be $100,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives.

Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of the company Technologies.

Benefits

  • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
  • Employees are automatically covered by the company’s basic life, AD&D and disability insurance
  • 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 but not limited to adoption, surrogacy, and preservation
  • Stipend to help with expenses that come with a new child
  • Employees can enroll in the company’s 401k plan
  • Life at the company
  • We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at the company. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at the company and note that our offerings may vary by region.
  • In keeping consistent with the company’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office.
  • Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3) .

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Company hidden

  • Industry: SaaS

Offices in New York, United States, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 18 checks run
  • 7 good signs
  • 2 red flags

Still hiring?

12 checks

Actively hiring

In its favour5

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • The company opened 3 roles and closed 5 in the last 2 weeks: hiring is movingModerate evidence
2 moreFewer
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
  • States its salarySlight evidence

Against it1

  • Pays less than 94% of similar roles we trackSlight evidence

How crowded?

6 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Pays below most similar roles, which thins the crowdSlight evidence

Against it1

  • Entry level: the most applied-to level there isModerate evidence

Fits Me

How well does this role fit you?

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  • Level
  • Stack
  • Work model
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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Spark
Type
Full-time
Industry
SaaS
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
1+ years
Tech stack
  • Python
  • SQL
  • Spark

Location

Work model
Hybrid
Region
United States
Offices
  • New York, United States
  • United States
Remote from
  • United States

Compensation

Salary
$100,000 - 145,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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