Design, develop, and optimize scalable, cloud-native data pipelines and industrialized data assets to support automotive sales, loyalty, and marketing initiatives.
Responsibilities
Design, develop, and optimize data pipelines and workflows using Databricks and Azure Data Services
Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code
Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions
Drive adoption of modern DevOps practices within the data engineering lifecycle
Ensure data quality, governance, and compliance across all solutions
The Data Engineer will play a key role in the continued development and modernization of the organizations data environment, with a focus on creating a clean, reliable, and scalable data foundation for reporting, analytics, and future AI and automation initiatives.
Compensation
The pay range for this position is $60.00 - $67.00/hr.
Responsibilities
Design, develop, and enhance data processes used to collect, transform, organize, and deliver large volumes of business and project data across the organization.
Use SQL extensively to develop, optimize, and troubleshoot complex data transformations that support reporting and analytics.
Build, maintain, and improve VertiPaq semantic models to provide a robust foundation for business intelligence and self-service analytics.
Develop and refine DAX calculations to support business metrics, reporting requirements, and analytical use cases.
Collaborate with stakeholders to understand existing methodologies and workflows and translate them into efficient, scalable data solutions.
Design and deliver scalable, governed, AI‑ready enterprise data solutions supporting analytics and digital transformation.
Compensation
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
Responsibilities
Define and evolve enterprise data architecture, reference architectures, standards, patterns, and technology roadmaps.
Design conceptual, logical, physical, dimensional, canonical, and semantic data models.
Architect scalable data integration and ingestion patterns using batch, near‑real‑time, streaming, APIs, and event‑driven approaches.
Design modern lakehouse, data warehouse, medallion, semantic‑layer, and data‑product architectures using platforms such as Microsoft Fabric, Databricks, Azure, and related technologies.
Create AI‑ready data foundations ensuring enterprise data is well modeled, contextualized, governed, discoverable, secure, and optimized for downstream consumption.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Data Science, Engineering, or related discipline. Master’s degree preferred.
Design and deliver scalable, governed, and AI-ready enterprise data solutions supporting analytics, digital transformation, and AI use cases while providing technical leadership across architecture and modeling.
Compensation
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
Responsibilities
Define and evolve enterprise data architecture, reference architectures, standards, patterns, and technology roadmaps.
Design conceptual, logical, physical, dimensional, canonical, and semantic data models representing complex business entities, relationships, and processes.
Architect scalable data integration and ingestion patterns using batch, near-real-time, streaming, APIs, and event-driven approaches.
Design modern lakehouse, data warehouse, medallion, semantic-layer, and data-product architectures using platforms such as Microsoft Fabric, Databricks, Azure, and related technologies.
Create AI-ready data foundations by ensuring enterprise data is well modeled, contextualized, governed, discoverable, secure, and optimized for downstream consumption.
A Data Architect who combines strong foundations in data management, data engineering, and software engineering to design and implement data systems for critical national importance problems, specifically focusing on enterprise-wide data management for the Intelligence Community.
Compensation
$171,000 - $213,500 - $256,000 Annual
Responsibilities
Development of enterprise data architectures, data management roadmaps, data strategies, and implementable technical plans.
Design and evaluation of data schemas, metadata schemas, data workflows, and data integration patterns.
Alignment of modern data management capabilities to enterprise-wide mission needs.
Development or assessment of data governance models, stewardship approaches, policies, standards, and operating models.
Evaluation of technical and programmatic blueprints supporting enterprise-wide data management adoption.
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives.
Locations (4)
San Jose, California, United States
New York, United States
Washington, United States
Illinois, United States
Compensation
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$125,700.00 - $203,100.00
Non-Metro New York state & Washington state:
$111,700.00 - $180,800.00
* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
Data Engineer
Safe-Guard Products International LLC · Posted Nov 6, 2026
Design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives.
Compensation
O'Fallon, Missouri: $92,000 - $147,000 USD
Responsibilities
Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives.
Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark.
Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases.
Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into effective technical solutions.
Implement data validation, testing, and quality controls to ensure data accuracy, consistency, and reliability.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline
Lead the Computer Science program with a focus on data engineering and analytics, developing curriculum, fostering industry partnerships, and guiding faculty and students.
Responsibilities
Provides leadership for the Computer Science program within the Department of Natural, Health, and Mathematical Sciences
Leads the design, development, and launch of undergraduate and/or graduate curriculum in data engineering and data analytics
Integrates industry-standard tools and practices (e.g., SQL, Python, cloud data services, distributed data processing, and business intelligence platforms) into coursework and lab experiences
Oversees program assessment, including collecting, analyzing, and reporting Computer Science program learning outcomes
Recruits, supports, and oversees computer science adjunct faculty to ensure quality and consistency of instruction
Software Engineer focused on building and scaling data infrastructure for next-generation robotics and Physical AI, focusing on high-volume data pipelines and scalable production systems.
Responsibilities
Design, build, and maintain scalable data processing and delivery pipelines.
Develop infrastructure for large-scale data transformation, packaging, and storage.
Work with various data formats, schemas, metadata, and custom client requirements.
Build reliable data delivery pipelines using AWS/GCP and distributed processing technologies.
Collaborate directly with customer engineering teams to develop customized solutions.
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