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Sr. Data Engineer - AI

Dairy Farmers of America

Kansas City, Kansas • Today

Full-time

Senior Data Engineer, AI

EPAM Systems

Remote • Today

Full-time

Senior Data Engineer II, AI Native

Life360

Remote • Today

Full-time

USD 148,000.00 - 216,500.00 per year

Sr. Data Engineer

WellSky

Remote • Today

Full-time

Sr. Data Engineer

DTN

Remote or Texas • Today

Full-time

USD 109,400.00 - 145,800.00 per year

Sr. Data Engineer

NinjaTrader

Remote or Chicago, Illinois • Today

Full-time

USD 100,000.00 - 150,000.00 per year

Sr. Data Engineer

Par Technology Corporation

Remote or Philadelphia, Pennsylvania • Today

Full-time

USD 130,000.00 - 144,000.00 per year

Lead Data Engineer, AI

EPAM Systems

Remote • Today

Full-time

Sr Data Engineer

Integrichain

Remote or Philadelphia, Pennsylvania • Today

Full-time

Sr. Data Engineer I

iHerb inc

Remote • 12d ago

Full-time

USD 116,000.00 - 170,000.00 per year

Senior Software Engineer, Data & AI Platform

Omada Health

Remote • Today

Full-time

USD 179,400.00 - 224,300.00 per year

Data Engineer Senior

The University of Kansas Health System

Mission, Kansas • Today

Full-time

Senior AI Engineer -Direct Hire

C4 Technical Services

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior AI Data Engineer, Data Platforms

EPAM Systems

Remote • Today

Full-time

Senior AI Data Engineer

Samsara

Remote • Today

Full-time

USD 118,107.50 - 178,650.00 per year

Senior Software Engineer (AI Data Engineering)

EvolutionIQ

Remote or New York, New York • Today

Full-time

USD 190,000.00 - 225,000.00 per year

Senior Director, Data and AI Engineer

Otsuka Pharmaceutical Co., Ltd.

Remote • Today

Full-time

USD 230,720.00 - 345,000.00 per year

Senior AI Engineer, Real-World Data

Natera, Inc.

Remote • Today

Full-time

Sr. Manager Data Science - Gen AI and Content Systems

Reed Elsevier Technology Services

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Sr. Manager Data Science - Gen AI and Content Systems

LexisNexis

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Senior Forward Deployed Engineer, Data & AI

Will-N-Able

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

Senior Data Scientist - Clinical AI

CVS Health

Remote or New York, New York • Today

Full-time

USD 101,970.00 - 203,940.00 per year

AI Data Engineer

Everest Global Solutions

Remote or Hybrid in Toronto, Ontario • Today

Easy Apply

Contract, Third Party

Depends on Experience

AWS Data Engineer (Exp- 14+ Years) with AI Exp-Full time-Remote

Visionary Innovative Technology Solutions

Remote • 3d ago

Easy Apply

Full-time

Depends on Experience

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 21d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

AI Data Engineering Lead/ Manager

Sharpedge Solutions

Remote • 14d ago

Easy Apply

Contract

Sr AI ML Engineer - Remote or Hybrid Eden Prairie, MN or Schaumburg, IL

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior AI Engineer

The Chemours Company

Remote • Today

Full-time

USD 126,067.00 - 196,980.00 per year

Sr. AI Engineer

Samsara

Remote • Today

Full-time

USD 127,330.00 - 214,000.00 per year

Sr. Machine Learning Engineer (Data Science)

Quantiphi Inc.

Remote • Today

Full-time

Job Details

Skills

Frontend Development
Training
Normalization
Caching
Documentation
Enterprise Architecture
Continuous Integration
Continuous Delivery
Leadership
Computer Science
Information Systems
Software Development
Orchestration
Python
SQL
PySpark
Snow Flake Schema
Databricks
Apache Airflow
NoSQL
Data Warehouse
Streaming
Apache Kafka
Microsoft Azure
Extract
Transform
Load
ELT
Management
Database
Cloud Computing
Machine Learning Operations (ML Ops)
Lifecycle Management
Data Engineering
Artificial Intelligence
Machine Learning (ML)
Data Quality
Privacy
Collaboration
TypeScript
JavaScript
Vue.js
API
English

Frontend Development
Training
Normalization
Caching
Documentation
Enterprise Architecture
Continuous Integration
Continuous Delivery
Leadership
Computer Science
Information Systems
Software Development
Orchestration
Python
SQL
PySpark
Snow Flake Schema
Databricks
Apache Airflow
NoSQL
Data Warehouse
Streaming
Apache Kafka
Microsoft Azure
Extract
Transform
Load
ELT
Management
Database
Cloud Computing
Machine Learning Operations (ML Ops)
Lifecycle Management
Data Engineering
Artificial Intelligence
Machine Learning (ML)
Data Quality
Privacy
Collaboration
TypeScript
JavaScript
Vue.js
API
English

Summary

Serve in a senior-level technical role designing, building, and supporting secure, scalable data pipelines that connect enterprise data sources to AI/ML models. Ensure data is accurate, current, compliant, and aligned with enterprise AI governance standards while independently solving complex integration challenges and advancing data engineering best practices. Provide practical front-end development support using TypeScript, JavaScript, Vue, and Quasar to help deliver intuitive AI-enabled applications.

Job Duties and Responsibilities:

Design, build, and optimize scalable ETL/ELT pipelines that ingest, transform, and integrate structured and unstructured enterprise data for AI/ML model training and inference
Ensure data is accurate, current, reliable, and secure through cleansing, normalization, validation, automation, continuous updates, monitoring, and error handling
Troubleshoot complex integration and performance issues, remove bottlenecks, and apply appropriate techniques such as caching, distributed processing, and specialized ETL patterns
Own key AI data infrastructure components and ensure they are scalable, maintainable, and supported by effective monitoring, logging, documentation, data lineage, and quality metrics
Apply enterprise architecture, AI governance, privacy, security, coding, and CI/CD standards to data solutions and communicate risks or limitations to leadership
Partner with Software engineers, data architects, domain experts, product teams, and platform teams to align data solutions with model requirements, business goals, and enterprise standards
Develop and support front-end components for AI-enabled applications using TypeScript, JavaScript, Vue, and Quasar to deliver intuitive, maintainable user experiences
Independently deliver assigned work, influence cross-team decisions, promote data engineering best practices, and evaluate technologies that improve AI data delivery
The requirements herein describe the general nature and level of work performed by the employee but are not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as needed

Minimum Requirements:

Education and Experience

Undergraduate degree in Computer Science, Data Engineering, Information Systems, or related field
8+ years data engineering, software development, or related experience, including work on data pipelines for AI/ML systems
Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow
Experience developing or supporting modern single-page applications using TypeScript or JavaScript, preferably with Vue and Quasar, including component-based design and API integration
Strong knowledge of relational and NoSQL databases, data warehouses or data lakes, integration platforms such as Azure Data Factory, and streaming technologies such as Kafka
Experience with at least one major cloud data ecosystem, preferably Azure, and familiarity with infrastructure-as-code and automated deployment practices
Proven ability to design and implement ETL/ELT pipelines, manage databases or data lakes, and integrate large-scale data systems
Certifications in cloud data engineering or in data privacy/security and experience with MLOps or AI/ML lifecycle management preferred

Knowledge, Skills and Abilities

Must be willing to travel 15-25% (1-2 times per quarter)
Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design and optimize scalable, reliable, and efficient data solutions
Strong understanding of data quality, governance, privacy, security, and regulatory requirements
Able to independently analyze and troubleshoot complex data and integration issues and apply creative, data-driven solutions when standard approaches are insufficient
Able to align technical solutions with business priorities, including speed, cost, risk, reliability, and desired outcomes, and exercise sound judgment in situations with limited precedent
Able to communicate complex technical concepts clearly, collaborate across teams, and build stakeholder trust through transparency and reliable delivery
Able to lead technical initiatives, document approaches clearly, influence peers, and promote adoption of standards and best practices
Practical ability to develop and support accessible, responsive single-page applications using TypeScript or JavaScript, preferably Vue and Quasar, with reusable components and API integration
Must be able to read, write, and speak English

An Equal Opportunity Employer including Disabled/Veterans

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: RTX1d1dbe
Position Id: 2e550e175000049debe5d6828eb5cf89
Posted 8 hours ago

Fitment

Dice Job Match Score™

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Full-time

USD 188,251.00 - 230,084.00 per year

Job Details

Skills

Frontend Development
Training
Normalization
Caching
Documentation
Enterprise Architecture
Continuous Integration
Continuous Delivery
Leadership
Computer Science
Information Systems
Software Development
Orchestration
Python
SQL
PySpark
Snow Flake Schema
Databricks
Apache Airflow
NoSQL
Data Warehouse
Streaming
Apache Kafka
Microsoft Azure
Extract
Transform
Load
ELT
Management
Database
Cloud Computing
Machine Learning Operations (ML Ops)
Lifecycle Management
Data Engineering
Artificial Intelligence
Machine Learning (ML)
Data Quality
Privacy
Collaboration
TypeScript
JavaScript
Vue.js
API
English

Frontend Development
Training
Normalization
Caching
Documentation
Enterprise Architecture
Continuous Integration
Continuous Delivery
Leadership
Computer Science
Information Systems
Software Development
Orchestration
Python
SQL
PySpark
Snow Flake Schema
Databricks
Apache Airflow
NoSQL
Data Warehouse
Streaming
Apache Kafka
Microsoft Azure
Extract
Transform
Load
ELT
Management
Database
Cloud Computing
Machine Learning Operations (ML Ops)
Lifecycle Management
Data Engineering
Artificial Intelligence
Machine Learning (ML)
Data Quality
Privacy
Collaboration
TypeScript
JavaScript
Vue.js
API
English

Summary

Design, build, and optimize scalable ETL/ELT pipelines that ingest, transform, and integrate structured and unstructured enterprise data for AI/ML model training and inference
Ensure data is accurate, current, reliable, and secure through cleansing, normalization, validation, automation, continuous updates, monitoring, and error handling
Troubleshoot complex integration and performance issues, remove bottlenecks, and apply appropriate techniques such as caching, distributed processing, and specialized ETL patterns
Own key AI data infrastructure components and ensure they are scalable, maintainable, and supported by effective monitoring, logging, documentation, data lineage, and quality metrics
Apply enterprise architecture, AI governance, privacy, security, coding, and CI/CD standards to data solutions and communicate risks or limitations to leadership
Partner with Software engineers, data architects, domain experts, product teams, and platform teams to align data solutions with model requirements, business goals, and enterprise standards
Develop and support front-end components for AI-enabled applications using TypeScript, JavaScript, Vue, and Quasar to deliver intuitive, maintainable user experiences
Independently deliver assigned work, influence cross-team decisions, promote data engineering best practices, and evaluate technologies that improve AI data delivery
The requirements herein describe the general nature and level of work performed by the employee but are not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as needed

Minimum Requirements:

Education and Experience

Undergraduate degree in Computer Science, Data Engineering, Information Systems, or related field
8+ years data engineering, software development, or related experience, including work on data pipelines for AI/ML systems
Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow
Experience developing or supporting modern single-page applications using TypeScript or JavaScript, preferably with Vue and Quasar, including component-based design and API integration
Strong knowledge of relational and NoSQL databases, data warehouses or data lakes, integration platforms such as Azure Data Factory, and streaming technologies such as Kafka
Experience with at least one major cloud data ecosystem, preferably Azure, and familiarity with infrastructure-as-code and automated deployment practices
Proven ability to design and implement ETL/ELT pipelines, manage databases or data lakes, and integrate large-scale data systems
Certifications in cloud data engineering or in data privacy/security and experience with MLOps or AI/ML lifecycle management preferred

Knowledge, Skills and Abilities

Must be willing to travel 15-25% (1-2 times per quarter)
Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design and optimize scalable, reliable, and efficient data solutions
Strong understanding of data quality, governance, privacy, security, and regulatory requirements
Able to independently analyze and troubleshoot complex data and integration issues and apply creative, data-driven solutions when standard approaches are insufficient
Able to align technical solutions with business priorities, including speed, cost, risk, reliability, and desired outcomes, and exercise sound judgment in situations with limited precedent
Able to communicate complex technical concepts clearly, collaborate across teams, and build stakeholder trust through transparency and reliable delivery
Able to lead technical initiatives, document approaches clearly, influence peers, and promote adoption of standards and best practices
Practical ability to develop and support accessible, responsive single-page applications using TypeScript or JavaScript, preferably Vue and Quasar, with reusable components and API integration
Must be able to read, write, and speak English

An Equal Opportunity Employer including Disabled/Veterans

Dice Id: RTX1d1dbe
Position Id: 2e550e175000049debe5d6828eb5cf89
Posted 8 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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

Similar Jobs

Sr. Data Engineer

Utah

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Today

Full-time

AWS Data Engineer (Exp- 14+ Years) with AI Exp-Full time-Remote

Remote

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Remote or Minnesota

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USD 188,251.00 - 230,084.00 per year