Jobs in the United States

25+ jobs

Save this search

Added just now
C
Sales Manager (Part Time)
Carter's/OshKosh
Aurora, CO
- $17.75 to $21.75 USD / hour
- Part-time
Added just now
AI-Enabled Design Lead
The Aerospace Corpor
Colorado Springs, CO
…Community, NASA, NOAA, and commercial/international customers. Work Model: This position will follow an in-person work model at A erospace's Colorado Springs, CO location. What You'll -…
Added just now
Senior Technical Product Manager - ServiceNow HRSD & Employee Center Pro
CVS Health
Denver, CO
…processes and operational issues act as a thought partner and model creative problem-solving to impact business…
Added just now
Senior Commercial Counsel - Technology
Janus Henderson Investors
Denver, CO
Advise on emerging technology contracting risks, including AI governance, responsible use, model/output risk, vendor use of customer data, training data restrictions, explainability, human…
Added just now
Senior Data Engineer
Janus Henderson Investors
Denver, CO
Understanding of AI/LLM risk in a regulated environment, including data egress, auditability, model non-determinism and appropriate guardrails.
Added just now
Senior Commercialization Architect, Associate Director
EY
Denver, CO
…(inputs, activities, outputs, and outcomes) enabling monetization model maturity assessment, selection, activation, and adoption across the…
Added just now
Director, AI Engineer (Remote Eligible)
Capital One
Denver, CO
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails,…
Added just now
Principal Software Engineer
Highmark Health
Denver, CO
Google Cloud Professional Cloud Architect, Professional Cloud Developer, or Professional Cloud Security Engineer.
Added just now
Data Science Manager, Gen AI - SFL Scientific
Deloitte
Denver, CO
Added just now
Senior Data Scientist Engineer - SFL Scientific
Deloitte
Denver, CO
Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
Added just now
Data Scientist Engineer - SFL Scientific
Deloitte
Denver, CO
Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
Added just now
Manager - Finance Managed Services
Deloitte
Denver, CO
Assessing client finance operating model needs, process challenges, service expectations, and technology environments
Added just now
Google AI Architect
Deloitte
Denver, CO
Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.
Added just now
Adobe Experience Platform
Deloitte
Denver, CO
Designing enterprise-level AEP data architectures and defining Experience Data Model (XDM) schemas to unify customer data for activation and analysis
Added just now
Life Sciences Research Manager - Deloitte Center for Health Solutions
Deloitte
Denver, CO · Colorado Springs, CO
Serve as a mentor and role model, helping emerging researchers grow into visible thought leaders.
Added just now
Health Care Research Manager - Deloitte Center for Health Solutions
Deloitte
Denver, CO · Colorado Springs, CO
Serve as a mentor and role model, helping emerging researchers grow into visible thought leaders.
Added just now
Director HR Solutions
Lumen
Denver, CO
…transformation, including organizational redesign, operational model evolution, workforce planning, role design, capability development, and change…
Added 1 min ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Denver, CO
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Added 1 min ago
C
Cloud Application Developer
Cognizant
Denver, CO
- $83,250 to $130,000 USD / year
We are seeking an experienced Cloud Application Developer to support the modernization of enterprise applications and the migration of Microsoft Power Platform solutions to Azure…
Added 1 min ago
Converge for FSI - RAE, Lead Product Manager_Products & Platforms
Deloitte
Denver, CO
…master towards building innovative digital banking features in a model that is unique to the retirement & wealth…
Added 1 min ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Denver, CO · Colorado Springs, CO
Partner with data engineering and AI/ML teams to support infrastructure for data platforms and AI workloads, including Vertex AI Agent Engine, Vertex AI Search, and Model Armor.
Added 1 min ago
Commercial Enablement Manager
Norstella
Denver, CO
Own the enablement plan from intake and scoping through build, delivery, reinforcement, adoption, and measurement, working within the Commercial Enablement operating model.
Added 1 min ago
Software Architect
Kratos Defense & Security Solutions, Inc.
Colorado Springs, CO
Added 1 min ago
EG
Dev Lead
Eliassen Group
Denver, CO
- $110 to $120 USD / hour
Model team expectations and deliver direct, constructive feedback.
Added 13 mins ago
W
(USA) Distinguished, Data Scientist
Walmart
BELLEVUE, WA · SUNNYVALE, CA
- $156,000 to $338,000 USD / year
Lead model validation, testing, and monitoring to ensure accuracy, robustness, and sustainability of analytical solutions.

Closed listing

Mercedes-Benz

Data Engineer ADAS Fleet Analytics

San Jose, CA, United States

The current salary range for this position is as follows and may be modified in the future: $118,200 - $147,700.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: The current salary range for this position is as follows and may be modified in the future: $118,200 - $147,700.
Experience: 2-5 years of experience in data engineering or big-data analytics with production pipeline ownership.
Posting language: English
Posted: Oct 29, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

Position Overview Mercedes-Benz uses large-scale vehicle telemetry to evaluate, monitor, and improve its Advanced Driver Assistance Systems. As a Data Engineer on the US ADAS Data & Forensics team, you will build and operate the data pipelines that turn raw vehicle signals into trusted KPIs, fleet dashboards, and campaign-health monitoring for management and the engineers who calibrate ADAS functions. You will own the full data lifecycle, including real-time ingestion, binary protocol decoding, Bronze/Silver/Gold processing with PySpark and Delta Lake, and delivery through APIs and dashboards. You will also manage data campaigns end to end, including VIN enrollment, fleet-health tracking, coverage-gap detection, and the Sold to Consented to Capable to Active vehicle funnel. The architecture is evolving toward applied AI, and you will build the data infrastructure required for vision-language models, LLM-based event classification, embedding retrieval, and model-based event scoring. Relocation assistance (domestic or international) is not provided for this position.

Job Responsibilities:

Design and maintain scalable telemetry pipelines using Event Hub, Medallion architecture, Delta Lake MERGE, schema evolution, and blue/green data deployments.
Own campaign and fleet management, including enrollment rosters, ingestion-completeness monitoring, VIN reconciliation, and automated coverage alerts.
Develop fleet KPIs for engineering, including safety events and takeover analysis; operations, including data freshness and pipeline health; and management, including trends and cohort comparisons.
Build ML-ready data infrastructure, including video and signal pipelines for SSR recordings, embedding stores, feature-engineering layers, and model-output integration into Gold.
Operate the Azure data platform, including ADLS Gen2, Synapse Spark, Event Hub, and Container Apps, and support Terraform-managed infrastructure and CI/CD.
Write automated tests, maintain documentation alongside code, and participate in code reviews and incident response.

Minimum Qualifications:

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Equivalent experience may be considered.
2-5 years of experience in data engineering or big-data analytics with production pipeline ownership.
Strong Python, PySpark DataFrame API and performance-tuning skills, and SQL skills including window functions and aggregations.
Experience with a columnar or transactional data-lake technology such as Delta Lake, Iceberg, Hudi, or managed Parquet.
Experience with automated testing for data pipelines and Git-based development workflows.
Ability to diagnose production failures, including schema conflicts, data skew, and memory issues, and communicate trade-offs to technical and non-technical stakeholders.

Strongly Preferred

Medallion or other layered data-processing patterns.
Cloud data-platform experience in Azure, AWS, or GCP.
Parquet schema design and schema evolution.
Production data-quality practices, including deduplication, idempotency, and data contracts.
Time-series, IoT, or vehicle-telemetry data.

Nice to Have

DuckDB or PyArrow; FastAPI or analytical API delivery; blue/green data deployments.
ML data infrastructure, including feature stores, embedding pipelines, vector databases, or video pipelines.
Fleet or campaign management for vehicle or IoT programs.
Automotive data privacy, including CCPA; ADAS or connected-vehicle domain knowledge.
Azure Data Engineer or Databricks certification.
English required; German is an advantage.

The successful candidate’s starting pay will be determined based on a wide range of factors, including, but not limited to, job-related education, skills, and experience, geographic location, and market conditions. The current salary range for this position is as follows and may be modified in the future: $118,200 - $147,700. This position may involve access to export-controlled technology, hardware, or software under the Export Administration Regulations (EAR), 15 C.F.R. Parts 730-774 and possibly technical data, defense articles and defense services subject to the International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130. As such, Mercedes-Benz Research & Development North America may be required to obtain an export license or authorization in accordance with United States law. Why should you apply? Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.

Benefits for Full-Time* Employees Include:

Medical, dental, and vision insurance for employees and their families
401(k) with employer match
Up to 15 company-paid holidays
Paid time off (flexible time off for salaried employees), sick time, and parental leave
Tuition assistance program
Wellness/Fitness reimbursement programs
Internships & Contractors excluded from Full-Time Employee benefits

MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes. Mercedes-Benz Research and Development North America, Inc.

PRIVACY NOTICE FOR CALIFORNIA RESIDENTS

https://mbrdna.com/california-employee-privacy-notice/

About employer

More about this job

Skills

PySpark
Manage data
ML
Apache Spark
IBM Terraform
CI/CD
Documentation
Incident response
Computer science
Data engineering
Data analysis
Python
SQL
Test automation
Git
Process data
Microsoft Azure
AWS
Google Cloud
Databricks
Research

Report this job