Lead the data engineering team to support, maintain, and enhance PDS data products and ETL pipelines.
Responsibilities
Support, maintain, and enhance PDS data products, ETL pipelines built using DBT, AWS Glue, Databricks, and other cloud‑native technologies.
Analyze, troubleshoot, and resolve production incidents, ensuring high availability, reliability, and adherence to SLAs.
Develop pipeline enhancements, bug fixes, and operational automation to improve platform performance, scalability, and operational efficiency.
Ensure data quality, integrity, and operational stability through validation, monitoring, root cause analysis, and proactive issue resolution.
Collaborate with Analytics Engineering, Cloud Engineering, and Business teams to support feature releases, production deployments, and continuous improvements.
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.
Lead the design and implementation of enterprise data architectures for U.S. government sponsors, providing strategic guidance and technical expertise in data management, governance, and cloud-based platforms.
Compensation
$171,000 - $213,500 - $256,000 Annual
Responsibilities
Develop enterprise data architectures, roadmaps, and technical plans
Design and evaluate data schemas, metadata, workflows, and integration patterns
Align modern data management capabilities to enterprise-wide mission needs
Develop and assess data governance models, policies, and operating models
Translate mission needs into architecture recommendations and acquisition strategies
Requirements
Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field
Nice to have: Master’s degree in Computer Science, Data Science, Information Systems, or related field
Nice to have: PhD in Computer Science, Data Science, Information Systems, or related field
Nice to have: prior experience as a Data Architect or Data Engineer in support of U.S. government organizations
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 and deliver data-driven solutions that turn complex enterprise data into actionable insights and intelligent products for leading global companies.
Responsibilities
Build and deploy machine learning models and analytical solutions that solve real business problems at scale for enterprise clients.
Design and implement advanced analytics pipelines – from data exploration and feature engineering through model training, evaluation, and production deployment.
Leverage GenAI and LLMs to augment data science workflows: conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration over enterprise datasets.
Translate business requirements into data science approaches – selecting the right methods, validating assumptions, and communicating results to both technical and non-technical stakeholders.
Collaborate with engineers, architects, and consultants on cross-functional project teams, contributing to solution design and technical direction.
Requirements
Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science or another related technical field
Results-driven Data Engineer with strong expertise in Databricks, Snowflake, Python development, and modern data engineering practices focused on designing scalable ETL/ELT pipelines, workflow orchestration, and cloud-based analytics solutions.
Compensation
Medtronic offers a competitive Salary and flexible Benefits Package. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data workflows.
Build and optimize data solutions using Databricks and Snowflake.
Develop Python-based automation, integration, and data processing solutions.
Work with structured and semi-structured data from multiple enterprise systems and APIs.
Implement workflow orchestration, scheduling, dependency management, and monitoring solutions.
Lead - Data EngineeringNewSyngene International Limited · Remote, India
Data Architect - Enterprise AnalyticsLam Research · Fremont, US
Principal Data ArchitectThe Mitre Corporation · McLean, US
Software Engineer Data & AI II (Full Time) – United StatesCisco · San Jose, US+3 more
Data EngineerSafe-Guard Products International LLC · Atlanta, US+1 more
Senior Data EngineerWire It · Porto, Portugal