The Databricks Engineer joins an agile delivery team responsible for building and supporting the Firm’s enterprise data platform on Azure Databricks. The role involves designing, developing, testing and operating scalable data pipelines and curated data products that integrate information from on-premises, cloud, and third-party systems.
Compensation
Exempt roles are also performance bonus eligible.
Responsibilities
Design, build, test, and deploy scalable data pipelines and curated data products on Azure Databricks.
Develop ingestion and transformation processes for data from on-premises, cloud, SaaS and third-party sources using batch and streaming patterns.
Use SQL or PySpark to transform and validate large datasets.
Design and maintain reusable data structures across raw, refined and curated layers, applying dimensional modeling and star schema principles.
Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration, performance observability and data quality.
Requirements
Bachelor’s degree in technology, engineering, computer science, or a related field
IT Operations Engineer responsible for Linux (Ubuntu) maintenance, network troubleshooting, hardware debugging, and automation for vehicle host business.
Responsibilities
Responsible for Linux installation, configuration, daily maintenance, and troubleshooting (primarily Ubuntu).
Handle daily system operations, including monitoring, performance optimization, upgrades, patch updates, and problem resolution.
Troubleshoot basic network issues including TCP/IP, DNS, routing, switching, and connectivity.
Troubleshoot hardware devices (CPU, memory, disk, network cards) to support vehicle host high availability.
Write and maintain automated operation scripts using Shell, Python, or Go.
IT Platform Administrator responsible for ensuring availability and operation of enterprise applications, monitoring, troubleshooting, and maintaining system performance and security.
Compensation
Level I - 60,410 - 84,000
Level II - 60,410 - 106,929
Level III - 79,068 - 142,322
Level IV - 87,766 - 157,978
Responsibilities
Installs, configures, troubleshoots, patches, and maintains enterprise software platforms
Conducts testing, performance optimization and maintenance of applications
Monitors system uptime and performance, manages backups
Manages user and system accounts, network rights and access
Triages incidents with cross-functional teams
Requirements
Associates degree in Computer Science, Information Technology, Management Information Systems, Business, Analytics or relevant field
Bachelor’s degree in a related field preferred
Nice to have: Intermediate knowledge of operating systems, scripting languages, database management systems
Nice to have: Intermediate knowledge of content store application administration
Nice to have: Intermediate knowledge of ETL tools such as Informatica, Azure Data Factory, Databricks, AWS Glue
IT Platform Administrator responsible for ensuring availability, performance, and compliance of enterprise application platforms, including installation, configuration, monitoring, troubleshooting, and documentation.
Compensation
Level I - 60,410 - 84,000
Level II - 60,410 - 106,929
Level III - 79,068 - 142,322
Level IV - 87,766 - 157,978
Responsibilities
Installs, configures, troubleshoots, patches, and maintains enterprise software platforms
Conducts testing, performance optimization and maintenance of applications
Monitors system uptime and performance, manages backups and recoverability
Manages user and system accounts, network rights and access
Collaborates with cross-functional teams to triage and resolve incidents
Requirements
Associates degree in Computer Science, Information Technology, Management Information Systems, Business, Analytics or relevant field
Bachelor’s degree in a related field preferred
Nice to have: Advanced experience in securing enterprise platforms
Nice to have: Advanced experience in SDLC (S2E) and DevOps practices
Nice to have: Advanced experience in presenting technical information
Senior Applied Scientist on the Agentic AI team at Zillow, responsible for end-to-end applied science problems, developing and evaluating machine learning and LLM-based approaches to improve customer experiences.
Compensation
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $164,400.00 - $262,600.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $156,200.00 - $249,400.00 annually. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Responsibilities
Own ambiguous applied-science problems end to end, from identifying an opportunity and forming a hypothesis through data analysis, modeling, experimentation and production iteration
Develop and compare machine learning and LLM-based approaches to improve customer experiences, establishing useful baselines, adapting relevant research and adding complexity when the evidence supports it
Build reliable datasets and offline evaluations, and design online experiments that connect model quality to meaningful customer and business outcomes
Partner with engineering, product, design and science teams to turn promising methods into reliable production capabilities, balancing quality, safety, latency and cost
Write maintainable Python and SQL, contribute production-ready scientific components, and share methods, findings and technical decisions with other scientists and engineers
Requirements
Network Security Engineer – XML
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 10, 2026
Senior Cybersecurity Engineer supporting Zero Trust and Security Engineering team, designing, implementing, and maintaining enterprise cybersecurity platforms in a federal environment.
Compensation
The likely salary range for this position is $149,469 - $184,000.
Responsibilities
Provide hands‑on engineering for next‑generation firewalls, secure remote access, segmentation, and related network‑security services.
Engineer, administer, troubleshoot, optimize, and sustain enterprise firewall technologies.
Manage the firewall policy lifecycle, including rules, objects, NAT, security profiles, recertification, cyber hygiene, optimization, and removal of obsolete or overly permissive policies.
Lead firewall and security‑platform changes, including impact analysis, testing, change control, rollback, validation, and documentation.
Support Zero Trust and SASE capabilities including ZTNA, Secure Web Gateway, Firewall‑as‑a‑Service, secure remote access, segmentation, device posture, and policy enforcement.
Develop and integrate computer vision and edge AI solutions for Zebra’s AI offerings and SDK platforms, collaborating with researchers and engineers to deploy models on mobile and embedded devices.
Responsibilities
Implement, refactor, and integrate computer vision algorithms and deep learning inference modules into production-grade SDKs and client applications.
Build efficient preprocessing pipelines (filtering, thresholding, perspective transformation, normalization) and post-processing modules using OpenCV and modern C++.
Assist in deploying trained models onto target enterprise devices (e.g., Android mobile computers, edge gateways) utilizing frameworks such as ONNX Runtime, TFLite, or Qualcomm SNPE/QNN.
Measure and profile algorithm latency, memory utilization, and inference accuracy across various hardware platforms.
Support dataset curation, synthetic data generation, and ground-truth validation for OCR, document parsing, and barcode/package recognition tasks.