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Lead Data Analyst - New Games
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Engineer data context and skills for AI: Improve the semantic layer and question-to-source routing that our AI tools rely on, and measure their accuracy so trust in AI-generated insights…
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Staff Software Engineer, Salesforce
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DAT Solutions is looking for a Staff Software Engineer to join our Enterprise Solutions Team
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Senior Instrumentation and Controls Design Engineer
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In this role you would serve as a Senior Instrumentation & Controls Engineer working closely with researchers, engineers and technical staff to design, deploy and operate systems used for…
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Senior Platform Engineer
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We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS),…
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Senior Platform Engineer
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We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS),…
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DevOps Engineer – Level 3 or 4 AHT
Northrop Grumman
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…your pioneering spirit to our collaborative teams. As a DevOps Engineer – Level 3 or 4 located in either Dulles, VA or El Segundo, CA , you’ll be a linchpin in missions of paramount…
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Full Stack Developer - PROJECT - Software Engineer III - TS/SCI clearance
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As a Software Engineer III on the Engineering as a Service team, you will be responsible for:
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Fraud, Waste, and Abuse Analytics and Insights Engineer III
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As a Project - Analytics and Insights Engineer III on the project, you will:
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Data Engineer I , WW Ops Finance S&A
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…why we're one of the world's most beloved brands. As a Data Engineer, you'll use the latest technology to solve complex problems and see the impact of your work…
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Software Development Engineer Intern, Machine Learning/Automated Reasoning- Summer 2027
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Boston, MA · Austin, TX · Sunnyvale, CA · Seattle, WA · Arlington, VA · Bellevue, WA · New York, NY · Irvine, CA · San Diego, CA
…tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges…
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Full Stack Agent Platform Developer
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Agenic Data Engineering Developer
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As a hands-on Core Data Engineer III on the AI & Data team, you will own the human-facing surface of these agents: the interfaces where users launch agent runs, watch them think in real…
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R&D Nuclear Engineer - Fuel Performance
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The R&D Nuclear Fuel Performance Engineer will support the design, analysis, and optimization of nuclear fuel systems by leveraging advanced multiphysics computational tools such as INL’s…
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R&D Nuclear Engineer - Fuel Performance
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The R&D Nuclear Fuel Performance Engineer will support the design, analysis, and optimization of nuclear fuel systems by leveraging advanced multiphysics computational tools such as INL’s…
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ENGINEER SOFTWARE 3
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The Software Engineer 3 supports Department E11 Submarine New Design by developing secure, reliable software tools that enhance next‑generation submarine design and engineering workflows.…
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ENGINEER NUCLEAR 4
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Experience creating Python modules and utilizing custom Python libraries
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Multi Cloud Engineer
SAIC
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SAIC is seeking a highly skilled Multi Cloud Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program based in Chantilly, VA. In this…
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Cyber Security/Information Assurance Engineer
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Job Title: Cyber Security/Information Assurance Engineer
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Senior System Dev Engineer, Data Center Engineering
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…eXecution (CDX) org, is seeking a Senior Systems Development Engineer (SysDE) to join our Mechanical Controls development team. In this role, you will design, develop, deploy, and scale…
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Cloud Engineer, TS/SCI with Polygraph required
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AWS Devops,Java (Programming Language),Python (Programming Language),Ruby (Programming Language)
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SC
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SOLUTE Careers
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- $130,000 to $145,000 USD / year
Sigma Defense is seeking a Computer Engineer to join our team in Norfolk, VA. The hired candidate will serve as the senior technical authority responsible for architecting, implementing,…
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Configuration Engineer Advisor
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The Configuration Engineer Advisor will be responsible for administering, supporting, and continuously improving enterprise engineering, configuration management, and DevSecOps platforms.…
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Agentic AI Engineer, Senior
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As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
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Databricks Data Engineer
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…artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale…

Closed listing

Mercedes-Benz

Prinicipal, Data Engineer

Atlanta, GA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 8+ years of progressive experience in data engineering, software engineering, platform engineering, machine learning engineering, or related technical disciplines.
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

About Us

Mercedes-Benz USA is responsible for the marketing, sales, and service of Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse, top-notch individuals to join the Mercedes-Benz team and uphold these hallmarks.

Job Overview

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Mercedes-Benz USA, you will be part of a group that solves real business and customer problems using data. We are seeking a Principal Data Engineer to serve as a senior technical leader for enterprise data engineering. This role defines complex problem spaces, sets architectural direction, and delivers scalable, enterprise-grade data platforms and products that enable reporting, analytics, machine learning, AI products, and digital business capabilities. The Principal Data Engineer operates effectively in high-ambiguity environments, owns outcomes and business impact, and establishes standards, frameworks, and reusable engineering patterns adopted across multiple teams and domains.

Responsibilities

Enterprise Data Engineering Architecture & Standards

Define and evolve enterprise data engineering architecture, design patterns, standards, and best practices across data platforms and products.
Create reusable engineering frameworks, templates, automation standards, and playbooks that accelerate delivery and improve consistency across teams.
Influence technology choices for data platforms, cloud-native services, distributed processing, orchestration, CI/CD, monitoring, and reliability engineering.
Evaluate emerging data engineering and platform technologies that improve scalability, performance, security, cost efficiency, and developer productivity. Data Platform & Product Delivery
Design and deliver high-performance, scalable data platforms and data products supporting analytics, reporting, machine learning, AI, and enterprise decision-making use cases.
Build and modernize end-to-end data pipelines across data lake, warehouse, lakehouse, data mart, and semantic consumption layers.
Enable data engineers, analysts, data scientists, AI engineers, and business teams through reliable, governed, and reusable data services.
Support platform capabilities for batch, streaming, event-driven, and API-based data integration patterns. Operational Excellence, Reliability & Governance
Identify systemic gaps in data quality, platform reliability, observability, performance, cost, resiliency, and operational readiness, and drive solutions end-to-end.
Establish best practices for production operations, monitoring, logging, incident response, runbooks, platform support, and continuous improvement.
Ensure platforms and data products comply with enterprise standards for security, governance, data quality, privacy, and responsible data use.
Drive automation through metadata management, reusable components, and repeatable engineering practices to reduce manual effort and operational risk. Collaboration, Influence & Technical Leadership
Partner with architects, infrastructure, security, analytics, AI/ML, product, and business stakeholders to translate complex business needs into scalable technical solutions.
Operate in high ambiguity by defining problem statements, success metrics, technical options, trade-offs, and implementation approaches.
Provide technical mentorship and guidance to engineers, raising data engineering maturity and strengthening engineering excellence across the organization.
Lead cross-functional technical alignment and influence decisions without relying on formal reporting authority.

Technical Skills & Tools

Required

Deep expertise in Python, SQL, PySpark and/or Scala, and distributed data processing frameworks.
Strong experience with Azure cloud platforms and Azure Databricks, including Delta Lake and platform-scale data processing patterns.
Experience designing and operating data lakehouse, warehouse, data mart, semantic layer, and enterprise analytical data products.
Experience with CI/CD, workflow orchestration, Git-based development, automated testing, and production release practices.
Experience with Docker, Kubernetes, Infrastructure as Code, cloud-native deployment patterns, and modern DevOps/DataOps practices.
Strong understanding of observability, monitoring, logging, performance optimization, reliability engineering, and cost management.
Knowledge of data governance, data quality, data security, access controls, metadata management, and compliance-sensitive environments. Preferred
Experience with streaming technologies, event-driven architectures, message queues, and real-time data integration patterns.
Familiarity with BI and analytics tools such as Power BI, Tableau, Qlik, or comparable semantic-layer-based data discovery platforms.
Experience with generative AI, agent-based solutions, vector databases, retrieval technologies, or enterprise AI platforms.
Experience operating in large-scale enterprise environments with multiple business domains and partner teams.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, or equivalent practical experience.
8+ years of progressive experience in data engineering, software engineering, platform engineering, machine learning engineering, or related technical disciplines.
Demonstrated experience designing, building, and operating enterprise-scale data platforms, data products, or shared engineering capabilities.
Proven ability to define ambiguous problems, align stakeholders, make technical trade-offs, and deliver outcomes across teams.
Strong communication, collaboration, stakeholder management, and technical leadership skills.
Self-starter with strong ownership mindset, sound judgment, and the ability to mentor engineers and influence engineering direction.

Additional Information

Must be able to work flexible hours/work schedule.
Travel domestically and internationally as needed.
Work holidays and weekends when required.
Position requires collaboration with business, technology, and external partner teams across multiple time zones.
Enjoys collaborative work and technical mentoring with peers and junior team members.

EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

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