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Sr. Data Engineer - AI

Kansas City, KS, US • Posted 7 hours ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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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 7 hours ago

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