Highlights
You will be expected to be hands-on and an independent FDE owning, architecting enterprise-grade solutions, development, deployment, mentor as needed, and shape the technical strategy for critical engagements across DaVita's healthcare ecosystem. As a Senior Forward Deployed Engineer (Delta), you will serve as the technical leader at the intersection of Palantir Foundry's platform capabilities and DaVita's most complex, high-impact healthcare data and operational engagements.
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
| Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413 MSP Owner: William Bristol Location: See Below Duration: 6 months Please do not forge integration profiles as Palantir. Candidates must actually have experience with Palantir. Senior Forward Deployed Engineer (Delta) About the Role As a Senior Forward Deployed Engineer (Delta), you will serve as the technical leader at the intersection of Palantir Foundry's platform capabilities and DaVita's most complex, high-impact healthcare data and operational engagements. This role combines deep technical expertise in Palantir Foundry with strategic deployment leadership, driving transformational outcomes for DaVita's kidney care and healthcare operations. The Delta designation reflects a commitment to driving change and transformation — you are the catalyst who bridges the gap between what the platform can do and what it should do for DaVita's unique operational context. You will be expected to be hands-on and an independent FDE owning , architecting enterprise-grade solutions, development, deployment, mentor as needed, and shape the technical strategy for critical engagements across DaVita's healthcare ecosystem. Key Responsibilities Technical Leadership & Architecture Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry, including complex transforms, incremental pipelines, and multi-source data connectors Architect and maintain the Ontology layer — defining object types, link types, action types, and interfaces that model customer domains with precision and scalability Develop and optimize Python, SQL, and Java transforms across distributed (PySpark) and lightweight (Pandas, Polars, DuckDB) compute engines Build and deploy TypeScript/Python Functions for server-side business logic, function-backed actions, and function-backed columns Create and configure Workshop applications, OSDK-based custom applications, and custom widgets to deliver operational front-ends Lead data governance implementation — markings, permissions, restricted views, property security groups, and role-based access controls Design and deploy AIP-powered workflows, including AIP Logic, AIP Agents, evaluation suites, and retrieval-augmented generation (RAG) pipelines Deployment Strategy & Customer Engagement Serve as the primary technical point of contact for senior customer stakeholders, translating business problems into platform solutions Own deployment roadmaps end-to-end: scoping, architecture design, implementation, testing, and operationalization Drive adoption by delivering high-quality, production-grade solutions that users trust and rely on daily Navigate complex organizational dynamics, building relationships with executives, analysts, data engineers, and end users Identify expansion opportunities by deeply understanding the customer's operational landscape and surfacing new use cases for the platform Skills: Team Leadership & Mentorship Lead and mentor a team of Forward Deployed Engineers, providing technical guidance, code reviews, and architecture direction Establish engineering best practices across the deployment: branching strategies (global and local), incremental pipeline design, testing, and CI/CD Conduct knowledge-sharing sessions and internal trainings on Foundry capabilities, new platform features, and deployment patterns Contribute to DaVita's internal engineering culture through tooling improvements, documentation, and cross-team collaboration Platform Mastery & Innovation Stay at the forefront of Foundry platform evolution — including Pipeline Builder, Code Workspaces, Model Studio, OSDK, Cipher, and streaming capabilities Build and deploy machine learning models using Model Studio (no-code) and pro-code repositories for classification, regression, time series forecasting, and custom predictive modeling Leverage the full data lifecycle: Data Connection → Sync → Datasets → Transforms → Ontology → Applications → Actions → Writeback Partner with Palantir product teams and DaVita's internal Palantir development team to provide field feedback and shape the future direction of the platform Education: Required Qualifications 5+ years of experience in software engineering, data engineering, or technical consulting — with at least 2+ years on Palantir Foundry Strong proficiency in Python (PySpark, Pandas, Polars) and SQL; experience with TypeScript is highly valued Deep understanding of the Foundry Ontology — object types, link types, action types, interfaces, and functions Proven track record of designing and deploying production-grade data pipelines (batch and streaming) at enterprise scale Experience building Workshop applications and/or OSDK-based applications (React/TypeScript) Strong communication skills with the ability to engage both technical and non-technical stakeholders Preferred Qualifications Experience with Google Cloud Platform (GCP) — Compute Engine, Cloud Functions, Cloud Storage, Dataflow, Pub/Sub, and IAM Experience with Google BigQuery — query optimization, partitioning/clustering strategies, BigQuery ML, data warehousing patterns, and migration from legacy EDW platforms (e.g., Netezza, Teradata) Experience with AIP (AI Platform) — AIP Logic, AIP Agents, evaluation suites, and LLM-powered functions Familiarity with machine learning workflows in Foundry: Model Studio, pro-code model authoring, batch/live inference Experience implementing data governance frameworks — markings, ABAC, restricted views, Cipher for data protection, and HIPAA-compliant data handling Background in healthcare, kidney care, or clinical operations, revenue cycle optimizations a plus. Experience leading teams of 3+ engineers in forward-deployed settings Contributions to internal tooling, open-source projects, or platform evangelism Technical Skills Summary Category Technologies & Skills Languages Python, TypeScript, SQL, Java Data Engineering PySpark, Pandas, Polars, DuckDB, Pipeline Builder, Incremental Pipelines Cloud Platforms Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions Ontology Object Types, Link Types, Action Types, Interfaces, Functions, OSDK Applications Workshop, OSDK (React/TypeScript/Python), Custom Widgets AI / ML AIP Logic, AIP Agents, Model Studio, LLM Functions, Evaluation Suites, BigQuery ML Data Governance Markings, Permissions, Restricted Views, Cipher, ABAC, HIPAA Compliance Infrastructure Data Connections, Connectors, Syncs (Batch/Streaming/CDC), Schedules, GCP Networking Role Descriptions: Palantir Core Essential Skills: Palantir Core Desirable Skills: Keyword: Skills: Palantir Core Experience Required: 6-8 Role Descriptions: Palantir Core Essential Skills: Palantir Core Desirable Skills: Keyword: Skills: Palantir Core Experience Required: 4-6 |
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
