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.
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 data platform support, designing, building, and improving data platforms for clients
Locations (2)
Atlanta, Georgia, United States
United States
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $104700 to $179900
Responsibilities
Design and implement data platform components, including ingestion, transformation, storage, and access patterns
Build and maintain data pipelines using cloud-based services and modern data engineering tools
Apply engineering practices for data quality, testing, monitoring, security, and performance
Collaborate with architects, analysts, and client stakeholders to turn requirements into technical designs and deliverables
Troubleshoot platform and pipeline issues and recommend practical improvements
Senior Data Quality Engineer, Data Quality Services
A hands-on technical role focused on making data quality measurable, automated, and continuously improving at production scale.
Compensation
$112,710.00 - $183,140.00
Responsibilities
Define data quality standards, acceptance criteria, and annotation guidelines for sensor data, labels, and captions used in perception and VLA datasets.
Build automated quality gates that validate data at every stage, from ingestion and labeling through dataset publication.
Develop and deploy AI-driven quality checks such as label-noise detection, consensus scoring, and caption verification using vision-language models (e.g., Cosmos Reason).
Define and track dataset quality KPIs such as label accuracy, inter-annotator agreement, and rework rate, and share results through dashboards and reports.
Audit internal and vendor annotations using gold datasets and statistical sampling, and manage annotation providers through scorecards, feedback loops, and SLAs.
Requirements
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Robotics, or a related field
Design and architect data infrastructure, build and automate data transformation, define agentic evaluation metrics, build evaluation pipelines, establish standards, lead cross-functional collaboration.
Compensation
For positions in this location, we offer a base pay of $202,500 - $354,400, plus equity (when applicable), variable/incentive compensation and benefits.
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