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Sr. Engineer - IT Data Analytics

Wynn Las Vegas

Las Vegas, Nevada • Today

Full-time

Senior AI Data & Analytics Engineer II

Samsara

Remote or Dallas, Texas • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Senior AI Data & Analytics Engineer II

Samsara

Remote or California • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Senior AI Data & Analytics Engineer II

Samsara

Remote or Chicago, Illinois • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Senior AI Data & Analytics Engineer II

Samsara

Remote or New York, New York • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Senior AI Data & Analytics Engineer II

Samsara

Remote or Seattle, Washington • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Senior AI Data & Analytics Engineer II

Samsara

Remote or Austin, Texas • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Senior AI Data & Analytics Engineer II

Samsara

Remote • Today

Full-time

USD 137,445.00 - 231,000.00 per year

Remote Senior Analytics Engineer - Python/Data Visualization

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

USD 40.00 per hour

Senior Analytics Engineer - Marketing Data

Kforce Technology Staffing

Remote or Sausalito, California • Yesterday

Contract

$60 - $70 hourly

Senior Engineer, Data Engineering & Analytics

KeHE Distributors

Remote or Naperville, Illinois • Today

Full-time

USD 87,000.00 per year

Sr Data Analytics Engineer

Foot Locker

Remote • Today

Full-time

USD 125,000.00 - 130,000.00 per year

Senior Data Analytics and Visualization Engineer

EPAM Systems

Remote • Today

Full-time

Senior Data Engineer - Analytics

Machinify

Remote • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Senior Analytics Engineer, Data Platform

The New York Times Company

Remote or New York, New York • Today

Full-time

USD 124,000.00 - 135,000.00 per year

Sr. Architect | Data & Analytics/Databricks/Snowflake (Remote)

Trace3

Remote or Atlanta, Georgia • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Sr. Data Analyst, Customer Analytics (Insurance)

CCC Information Services Inc.

Remote or Chicago, Illinois • Today

Full-time

USD 84,724.00 - 120,000.00 per year

Senior Analyst, Data & Analytics - No Surprises Act/Provider Reimbursements/SQL - Remote

Molina Healthcare

Remote • Today

Full-time

USD 59,810.00 - 129,589.00 per year

Senior Data Analytics & Process Improvement Analyst

Tek Inspirations LLC

Remote • 3d ago

Easy Apply

Contract

$60 - $65

Lead Data Analytics and Visualization Engineer

EPAM Systems

Remote • Today

Full-time

Senior Analytics Engineer

Temporal Technologies

Remote • Today

Full-time

USD 137,600.00 - 220,000.00 per year

Data Analytics Engineer (Remote, US)

Allstate Insurance Company

Remote or Chicago, Illinois • Today

Full-time

USD 98,100.00 - 167,850.00 per year

Data Analytics Engineer (Remote, US)

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 98,100.00 - 167,850.00 per year

Senior Analytics Engineer

Vanta

Remote • Today

Full-time

USD 190,000.00 - 224,000.00 per year

Senior Analytics Engineer

Chainguard

Remote • Today

Full-time

USD 140,000.00 - 165,000.00 per year

Senior Data Engineer

ScaleHealthTech LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Sr Data Engineer

Boeing Employees Credit Union

Remote or Washington • Today

Full-time

USD 141,800.00 - 173,300.00 per year

Sr AI/ML Data Engineer Remote or Office-Based in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr Data Engineer

Protective

Remote or Nebraska • Today

Full-time

USD 84,000.00 - 128,667.00 per year

Senior Data Engineer

Voyager Technologies, Inc.

Remote • Today

Full-time

USD 163,000.00 - 205,000.00 per year

Job Details

Skills

Customer Intelligence
Data Architecture
Software Design
Evaluation
Replication
Apache HTTP Server
Benchmarking
Data Flow
Specification Gathering
Real-time
Property Management
Customer Relationship Management (CRM)
Promotions
Incident Management
Data Quality
Embedded Systems
Data Integrity
Access Control
RBAC
Auditing
Privacy
Innovation
Machine Learning (ML)
Large Language Models (LLMs)
Use Cases
Robotic Process Automation
GitHub
Development Testing
Documentation
IT Management
Mentorship
Marketing
Analytics
Data Analysis
SQL
Performance Tuning
Python
Data Engineering
PySpark
Automated Testing
Cloud Computing
Warehouse
Continuous Integration
Continuous Delivery
Git
Workflow
DevOps
Production Engineering
Testing
Hospitality
Orchestration
Streaming
Apache Kafka
ERwin
Modeling
Terraform
Unity
Microsoft
Machine Learning Operations (ML Ops)
Artificial Intelligence
Snow Flake Schema
Databricks
Microsoft Azure

Customer Intelligence
Data Architecture
Software Design
Evaluation
Replication
Apache HTTP Server
Benchmarking
Data Flow
Specification Gathering
Real-time
Property Management
Customer Relationship Management (CRM)
Promotions
Incident Management
Data Quality
Embedded Systems
Data Integrity
Access Control
RBAC
Auditing
Privacy
Innovation
Machine Learning (ML)
Large Language Models (LLMs)
Use Cases
Robotic Process Automation
GitHub
Development Testing
Documentation
IT Management
Mentorship
Marketing
Analytics
Data Analysis
SQL
Performance Tuning
Python
Data Engineering
PySpark
Automated Testing
Cloud Computing
Warehouse
Continuous Integration
Continuous Delivery
Git
Workflow
DevOps
Production Engineering
Testing
Hospitality
Orchestration
Streaming
Apache Kafka
ERwin
Modeling
Terraform
Unity
Microsoft
Machine Learning Operations (ML Ops)
Artificial Intelligence
Snow Flake Schema
Databricks
Microsoft Azure

Summary

Company Description

Job Description

Wynn Resorts is building an integrated system of data, analytics, and action to attract guests and scale the highly personalized service our top guests know us for, driving loyalty, visit frequency, and revenue through ever-increasing levels of personalization. The Senior Data Engineer is a hands-on senior engineer on the Customer Intelligence Platform (CIP) team, responsible for designing, building, and operating the cloud data pipelines and models that turn guest, gaming, and hospitality data into trusted, real-time knowledge for the business.

Key Responsibilities

Data Architecture & Modeling

Contribute engineering input on feasibility, performance, and cost in solution design sessions led by architects across Snowflake, Azure Databricks, and the Azure data platform.
Implement physical data models from approved logical designs (dimensional, medallion, and canonical patterns) , and deploy them as production schemas in Snowflake and Databricks.
Support evaluation of ingestion, integration, replication, and open table format (Delta Lake, Apache Iceberg, Snowflake Horizon Catalogs) options through hands-on proofs of concept and benchmarking.
Document implemented data flows, technical specifications, and data contracts that downstream teams can build against.

Data Ingestion & Pipeline Engineering

Define, design, and implement reusable batch and streaming ingestion patterns using Databricks, Airflow, Kafka, and Snowflake.
Deliver real-time and near-real-time data to the business, so guest and operational data is available at the right time and place.
Integrate core hospitality and gaming source systems, including property management, player tracking, CRM, and marketing platforms.
Build pipelines as code with CI/CD, automated testing, and environment promotion across development, test, staging, and production.
Maintain and support ingestion tooling in production, owning monitoring, alerting, incident response, and cost and performance tuning.

Data Quality, Governance & Security

Implement data quality controls defined by governance standards, including profiling, cleansing, validation rules, and automated checks embedded in every pipeline.
Build lineage, reconciliation, and observability into pipelines to maintain data integrity from source to consumption.
Implement governance standards in the platform, including catalog registration, access control, and classification (e.g., Databricks Unity Catalog, Snowflake RBAC).
Implement PII protection controls, including masking, least-privilege access, and audit logging, to meet privacy and gaming regulatory requirements.

AI-Enabled Engineering & Innovation

Build the data foundations for predictive ML, Large Language Models (LLMs), and AI agent use cases, including feature pipelines and retrieval-ready datasets.
Apply automation, including RPA and AI agents, to streamline data operations and analytics delivery.
Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate pipeline development, testing, and documentation, while maintaining code quality, security, and review standards.

Technical Leadership & Mentorship

Guide and mentor data engineers through code reviews, pairing, and design feedback.
Set and champion engineering standards, reusable frameworks, and best practices across the team.
Translate business requirements from Marketing, Gaming, Hotel, and Analytics stakeholders into technical designs and delivery plans.

Qualifications

Required

At least six (6) years of data engineering experience, including at least 3 cloud data analytics projects delivered end to end
Production experience building and operating data pipelines on Microsoft Azure, Snowflake, and Databricks
Advanced SQL: complex transformations, window functions, and performance tuning on large datasets
Advanced Python for data engineering, including PySpark & Snowpark, automated testing, and reusable, packaged code
Hands-on experience implementing data models (dimensional and medallion) in a cloud warehouse or lakehouse
CI/CD and Git-based workflows for data pipelines (e.g., Azure DevOps)
Regular hands-on use of AI coding assistants in production engineering work, with sound practices for reviewing, testing, and securing AI-generated code

Preferred

Experience in the casino resort, hospitality, or luxury industries, including guest identity resolution or customer data unification
Orchestration and streaming experience with Airflow and Kafka
Erwin or comparable modeling tools, plus infrastructure as code (Terraform)
Governance tooling such as Databricks Unity Catalog or Microsoft Purview
MLOps, feature stores, vector search, or LLM and AI agent data pipelines
Certifications in Snowflake, Databricks, or Microsoft Azure

Additional Information

All your information will be kept confidential according to EEO guidelines.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10122964
Position Id: 265f5761c9900832f42669419695d4ec
Posted 1 hour ago

Fitment

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Job Details

Skills

Customer Intelligence
Data Architecture
Software Design
Evaluation
Replication
Apache HTTP Server
Benchmarking
Data Flow
Specification Gathering
Real-time
Property Management
Customer Relationship Management (CRM)
Promotions
Incident Management
Data Quality
Embedded Systems
Data Integrity
Access Control
RBAC
Auditing
Privacy
Innovation
Machine Learning (ML)
Large Language Models (LLMs)
Use Cases
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GitHub
Development Testing
Documentation
IT Management
Mentorship
Marketing
Analytics
Data Analysis
SQL
Performance Tuning
Python
Data Engineering
PySpark
Automated Testing
Cloud Computing
Warehouse
Continuous Integration
Continuous Delivery
Git
Workflow
DevOps
Production Engineering
Testing
Hospitality
Orchestration
Streaming
Apache Kafka
ERwin
Modeling
Terraform
Unity
Microsoft
Machine Learning Operations (ML Ops)
Artificial Intelligence
Snow Flake Schema
Databricks
Microsoft Azure

Customer Intelligence
Data Architecture
Software Design
Evaluation
Replication
Apache HTTP Server
Benchmarking
Data Flow
Specification Gathering
Real-time
Property Management
Customer Relationship Management (CRM)
Promotions
Incident Management
Data Quality
Embedded Systems
Data Integrity
Access Control
RBAC
Auditing
Privacy
Innovation
Machine Learning (ML)
Large Language Models (LLMs)
Use Cases
Robotic Process Automation
GitHub
Development Testing
Documentation
IT Management
Mentorship
Marketing
Analytics
Data Analysis
SQL
Performance Tuning
Python
Data Engineering
PySpark
Automated Testing
Cloud Computing
Warehouse
Continuous Integration
Continuous Delivery
Git
Workflow
DevOps
Production Engineering
Testing
Hospitality
Orchestration
Streaming
Apache Kafka
ERwin
Modeling
Terraform
Unity
Microsoft
Machine Learning Operations (ML Ops)
Artificial Intelligence
Snow Flake Schema
Databricks
Microsoft Azure

Summary

Contribute engineering input on feasibility, performance, and cost in solution design sessions led by architects across Snowflake, Azure Databricks, and the Azure data platform.
Implement physical data models from approved logical designs (dimensional, medallion, and canonical patterns) , and deploy them as production schemas in Snowflake and Databricks.
Support evaluation of ingestion, integration, replication, and open table format (Delta Lake, Apache Iceberg, Snowflake Horizon Catalogs) options through hands-on proofs of concept and benchmarking.
Document implemented data flows, technical specifications, and data contracts that downstream teams can build against.

Data Ingestion & Pipeline Engineering

Define, design, and implement reusable batch and streaming ingestion patterns using Databricks, Airflow, Kafka, and Snowflake.
Deliver real-time and near-real-time data to the business, so guest and operational data is available at the right time and place.
Integrate core hospitality and gaming source systems, including property management, player tracking, CRM, and marketing platforms.
Build pipelines as code with CI/CD, automated testing, and environment promotion across development, test, staging, and production.
Maintain and support ingestion tooling in production, owning monitoring, alerting, incident response, and cost and performance tuning.

Data Quality, Governance & Security

Implement data quality controls defined by governance standards, including profiling, cleansing, validation rules, and automated checks embedded in every pipeline.
Build lineage, reconciliation, and observability into pipelines to maintain data integrity from source to consumption.
Implement governance standards in the platform, including catalog registration, access control, and classification (e.g., Databricks Unity Catalog, Snowflake RBAC).
Implement PII protection controls, including masking, least-privilege access, and audit logging, to meet privacy and gaming regulatory requirements.

AI-Enabled Engineering & Innovation

Build the data foundations for predictive ML, Large Language Models (LLMs), and AI agent use cases, including feature pipelines and retrieval-ready datasets.
Apply automation, including RPA and AI agents, to streamline data operations and analytics delivery.
Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate pipeline development, testing, and documentation, while maintaining code quality, security, and review standards.

Technical Leadership & Mentorship

Guide and mentor data engineers through code reviews, pairing, and design feedback.
Set and champion engineering standards, reusable frameworks, and best practices across the team.
Translate business requirements from Marketing, Gaming, Hotel, and Analytics stakeholders into technical designs and delivery plans.

Qualifications

Required

At least six (6) years of data engineering experience, including at least 3 cloud data analytics projects delivered end to end
Production experience building and operating data pipelines on Microsoft Azure, Snowflake, and Databricks
Advanced SQL: complex transformations, window functions, and performance tuning on large datasets
Advanced Python for data engineering, including PySpark & Snowpark, automated testing, and reusable, packaged code
Hands-on experience implementing data models (dimensional and medallion) in a cloud warehouse or lakehouse
CI/CD and Git-based workflows for data pipelines (e.g., Azure DevOps)
Regular hands-on use of AI coding assistants in production engineering work, with sound practices for reviewing, testing, and securing AI-generated code

Preferred

Experience in the casino resort, hospitality, or luxury industries, including guest identity resolution or customer data unification
Orchestration and streaming experience with Airflow and Kafka
Erwin or comparable modeling tools, plus infrastructure as code (Terraform)
Governance tooling such as Databricks Unity Catalog or Microsoft Purview
MLOps, feature stores, vector search, or LLM and AI agent data pipelines
Certifications in Snowflake, Databricks, or Microsoft Azure

Additional Information

All your information will be kept confidential according to EEO guidelines.

Dice Id: 10122964
Position Id: 265f5761c9900832f42669419695d4ec
Posted 1 hour ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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