Senior Data Engineer for AI Pipelines & Front-End Apps

JobCubby; Kansas City (KS); On-site; USD 130,000 - 170,000; Full time

Job summary

JobCubby in Kansas City, KS seeks a senior data engineering lead to design, build, and support secure, scalable data pipelines connecting enterprise data sources to AI/ML models. You will ensure data accuracy, governance, and compliance while solving complex integration challenges and enabling AI-enabled applications with TypeScript, JavaScript, Vue, and Quasar.

This role collaborates with software engineers, data architects, and product teams to advance data engineering best practices and

Qualifications

• 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.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines for AI/ML model training and inference
• Ensure data accuracy, currency, reliability, and security through cleansing, normalization, validation, automation, updates, monitoring, and error handling
• Troubleshoot complex integration and performance issues; remove bottlenecks using caching, distributed processing, and ETL patterns
• Own key AI data infrastructure components with monitoring, logging, and quality metrics
• Apply governance, privacy, security, coding, and CI/CD standards to data solutions and communicate risks to leadership
• Collaborate with software engineers, data architects, domain experts, product teams, and platform teams to align data solutions with model requirements
• Develop and support front-end components for AI-enabled applications using TypeScript, JavaScript, Vue, and Quasar
• Independently deliver work, influence cross-team decisions, promote best practices, and evaluate technologies for AI data delivery

Skills

Data pipeline design

AI/ML pipelines

Communication across teams

Problem solving

Education

Undergraduate degree in Computer Science / Data Engineering / Information Systems

Tools

Python

SQL

PySpark

Snowflake

Databricks

Apache Airflow

TypeScript

JavaScript

Vue

Quasar

Kafka

Azure

Job description

JobCubby in Kansas City, KS seeks a senior data engineering lead to design, build, and support secure, scalable data pipelines connecting enterprise data sources to AI/ML models. You will ensure data accuracy, governance, and compliance while solving complex integration challenges and enabling AI-enabled applications with TypeScript, JavaScript, Vue, and Quasar.

This role collaborates with software engineers, data architects, and product teams to advance data engineering best practices and