Data Engineer III

Senior Data Engineer III (Palantir Foundry & Data Pipelines)

Role Overview
We are seeking an experienced, proactive, and analytical Senior Data Engineer III to join our growing Data Analytics and Insights team. In this role, you will play an essential part in the design, development, and maintenance of robust data pipelines, scalable data products, and analytic applications-including dynamic reports, operational dashboards, and custom interfaces.

This is a high-impact engineering position for a seasoned data professional who excels at cross-functional collaboration and mission-critical data delivery. You will work alongside solution architects, data analysts, and data scientists to transform complex datasets, optimize pipeline performance, and build mission-critical solutions on modern enterprise platforms. If you possess deep expertise in Palantir Foundry and advanced Python/PySpark development, we want to hear from you.

Key Responsibilities
Data Engineering & Pipeline Development
Pipeline Architecture: Design, build, and maintain end-to-end data pipelines from initial ingestion to final object delivery and ontology creation.
Data Transformation: Collaborate with Subject Matter Experts (SMEs) to implement complex data transformations, derive new analytical datasets, and establish ontology objects for business applications.
Performance Optimization: Monitor pipeline performance, troubleshoot data quality anomalies, resolve data staleness issues, and optimize latency and resource utilization.
Application Maintenance: Maintain and scale operational applications, reports, and dashboards as user growth and business requirements evolve.
Collaboration & Operational Support
Cross-Functional Partnership: Partner closely with solution architects, data pipeline engineers, analysts, and data scientists to deliver high-impact analytic products.
Operational Readiness: Participate in on-call rotations and provide robust 24x7 operational support for critical data applications.
Mentorship: Guide and mentor junior data engineers, sharing best practices in pipeline architecture, coding standards, and data modeling.

Qualifications & Requirements
Minimum Qualifications
Education: Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline.
Experience Baseline: Minimum of 5+ years of professional experience as a Data Engineer, Software Engineer, or Data Analytics Engineer.
Technical Mastery:
oPalantir Foundry Expertise: Hands-on experience building and maintaining solutions within the Palantir Foundry platform utilizing Foundry Tools (Workshop, Quiver, Slate, and Contour).
oProgramming Proficiency: Complete, production-level proficiency in Python and PySpark.
oDatabase & SQL Skills: Advanced SQL expertise with proven experience working with large-scale datasets and complex relational data structures.
oAnalytics & Visualization: Experience developing front-end analytic applications, interactive dashboards, or reports using enterprise tools (including Tableau or Power BI).
Core Competencies: Excellent problem-solving and analytical abilities with meticulous attention to detail; strong communication and teamwork skills; ability to thrive in a fast-paced environment.

Equal Opportunity Employer / Disabled / Protected Veterans

The Know Your Rights poster is available here:
_EEOC_KnowYourRights6.12.pdf

The pay transparency policy is available here:
_%20English_formattedESQA508c.pdf

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
_Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Additional Skills

(none specified)

AllSTEM Representative Contact Info

Account Executive:

Nichols

Branch Phone:



Location:

Ontario, CA