Top 13 Azure data engineer Jobs in Topeka, Ks

Data & AI Engineer
Truity Credit Union —Lawrence, KS
- Online Application
- 5 years
- Senior level
- Communication skills
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Staff Software Development Engineer - Fulfillment
CVS Health —Topeka, KS
- $106,605 - $284,280 a year
- Full-time
- Azure
- HIPAA
- 3 years
- Health insurance
- Dental insurance
Mid-Level Developer (On-Site)
Moore —Topeka, KS
- Full-time
- Computer Science
- Writing skills
- System design
Full Stack Developer (Angular/NodeJS)
Syms Strategic Group, LLC (SSG) —Topeka, KS
- $85,389 - $116,975 a year
- Full-time
- Remote
- Azure
- Computer Science
- HIPAA
3d
Mid-Level Developer (On-Site)
Moore Response Management Group, Inc. —Topeka, KS
- Full-time
- Computer Science
- System design
- Mid-level
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Senior Cloud Engineer (Remote)
Vector Airport Systems —United States
- $140,000 - $160,000 a year
- Full-time
- Remote
- Background check
- 6 years
- System design
- Health insurance
- Dental insurance
12h
Lead Quantitative Snowflake Developer
Everforth —United States
- Full-time
- Hybrid work
- Azure
- Management
- Computer Science
- Commuter assistance
- Health insurance
3d

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azure data engineer jobs near topeka, ks

Data & AI Engineer

Truity Credit Union -
Lawrence, KS

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Job Details

Full-time

Qualifications

5 years
Senior level
Communication skills

Full Job Description

JOB SUMMARY

Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.

You’ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.

ESSENTIAL FUNCTIONS

Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.

Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.

Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.

Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.

Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.

Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.

Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.

Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.

Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.

Document data workflows and AI tools clearly for reuse, maintainability, and auditability.

Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.

KNOWLEDGE, SKILLS, & ABILITIES

Proficiency in Python for scripting, data manipulation, and automation.
Strong command of SQL for querying, transforming, and joining relational data.
Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
Knowledge of AI agent frameworks and task routing techniques.
Ability to build and refine prompt templates and AI-assisted data workflows.
Comfort working with cloud environments (e.g., Azure, AWS, or GCP).
Strong documentation, communication, and cross-functional collaboration skills.
Knowledge of version control, CI/CD pipelines, and containerization tools is preferred
Awareness of ethical AI, privacy considerations, and data compliance standards.

QUALIFICATIONS

Bachelor’s degree in Data Science, Computer Science, or related technical field.
5+ years of experience in data engineering, analytics, or scripting-heavy roles.
2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.

REGULATORY COMPLIANCE & OTHER REQUIREMENTS

Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.
Regular attendance and active collaboration are essential.
Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.

This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or [email protected] for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.

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azure data engineer jobs in topeka, ks

Data & AI Engineer

Staff Software Development Engineer - Fulfillment

Mid-Level Developer (On-Site)

Full Stack Developer (Angular/NodeJS)

Mid-Level Developer (On-Site)

Senior Cloud Engineer (Remote)

Lead Quantitative Snowflake Developer

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