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Data warehouse engineer Jobs in St Louis, MO
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Data warehouse engineer • st louis mo
Data Engineer
VetJobsSt Louis, MO, United States- Promoted
Data Analytics Engineer
The Timberline Group CompanySt Louis, MO, United StatesData Engineer I
SynergisticITSt. Louis, MO, US- Promoted
Senior Data Scientist (Prompt Engineer)
GRVTYSaint Louis, MO, US- Promoted
Data Engineer
VirtualVocationsSaint Louis, Missouri, United States- Promoted
Data Engineer, Data Management
NISA Investment Advisors, LLCClayton, MO, United StatesSr. Data Engineer I (6290)
MetroStarSt. Louis, Missouri, USAData Center Engineer
GDITLouis, St., MO, USA- Promoted
Warehouse Operator
Winland FoodsSaint Louis, MO, USData Engineer
Build-A-Bear WorkshopSt Louis, MO , USWarehouse
GoodwillGranite City, IL, United StatesData Center Engineer
ADEX CorporationSt. Louis, MOLead AWS Data Engineer
Acrux Consulting SolutionsSt. Louis, Missouri, USAData Engineer
Turnberry LabsSaint Louis, MO, USData Engineer
Adaptive Solutions GroupSt. Louis, MO, USSr. Data Engineer
Oakwood Systems GroupSt. Louis, MissouriData Engineer
Cynet SystemsSaint Louis, MO- Promoted
IT Senior Data Engineer
Core & MainSt. Louis, MO, United States- dermatology (from $ 38,474 to $ 349,350 year)
- hospitalist (from $ 37,500 to $ 275,000 year)
- physician recruiter (from $ 80,000 to $ 260,400 year)
- associate dentist (from $ 191,250 to $ 250,000 year)
- physician (from $ 50,000 to $ 245,000 year)
- forensic pathologist (from $ 95,499 to $ 235,747 year)
- crna (from $ 53,604 to $ 228,000 year)
- owner operator (from $ 78,000 to $ 227,242 year)
- dentist (from $ 50,000 to $ 225,000 year)
- general dentist (from $ 30,000 to $ 225,000 year)
The average salary range is between $ 110,443 and $ 168,875 year , with the average salary hovering around $ 128,644 year .
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Data Engineer
VetJobsSt Louis, MO, United States- Full-time
Data Engineer
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.
As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions for the users of our data platform. This role requires being in the office 3 days / week on Tues - Thurs. This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do :
Build complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems.
Design and implement data engineering frameworks to scale the development and deployment of data pipelines across the D&A organization.
Leverage AI-powered coding assistants to accelerate development, optimize code, and generate documentation for data pipelines and infrastructure.
Develop and refine prompts for Large Language Models (LLMs) to assist in data-related tasks such as data cleansing, transformation logic generation, and automated data documentation.
Design, build, and maintain scalable data pipelines that support AI / ML applications.
Minimum Education Required : Bachelors
Job Category : Information Technology
Additional Qualifications / Responsibilities :
At least 5 years of experience in data engineering, data architecture, or a related field.
A strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration.
At least 1 year of experience working in a GCP big data environment.
Experience building complex data pipelines and solutions using two or more of the following : BigQuery, DataFlow, DataProc, Pub / Sub, Cloud Functions.
Experience with Airflow or Cloud Composer.
Experience with Vertex AI.
Proficiency in Python development.
Professional experience with SQL.
Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
A Bachelor's degree or higher in Computer Science, Information Systems, or a related field.
Preferred Qualifications :
Demonstrated experience with prompt engineering to interact with and guide AI models for optimal outputs.
Hands-on experience with AI-assisted coding tools.
Familiarity with frameworks for building AI applications or agents (e.g., LangChain, LlamaIndex).
Experience integrating AI services and models into data pipelines via APIs.
DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure.
GCP Associate Cloud Engineer or Professional Data Engineer certification.
City : St Louis
State : Missouri
Job Code : IT Information Technology
Company : Equifax