Senior Data Ops Engineer

Mindlance

IRVING, TX

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Big Data, Cloud Computing, Cloud Storage, Data Analysis, Data Management, Data Processing, Data Quality, Data Warehousing, Ecosystems, GCP (Good Clinical Practices), Hybrid Cloud, Information/Data Security (InfoSec), Internet Security, MCP - Microsoft Certified Professional, Matrix Management, Metadata, Microsoft Windows Azure, Node.js, Process Capability, Public Cloud, Python Programming/Scripting Language, React.js, Software Engineering, Team Player, User Interface/Experience (UI/UX), Web Programming

LOCATION

IRVING, TX

POSTED

30+ days ago

LOCATION - ALL - USE - Charlotte, Irving, Chandler, Columbus, Des Moines, and Minneapolis
CONVERSION - YES
INTV - 2 INTERVIEWS - VIDEO
SPOTLIGHT - 3.30

MUST HAVES
Work in a large data environment

Senior Data Ops Engineer (Lead Information Security Engineer P4)

Lead Software Engineer AI, Cloud Native Data Engineering
Are you looking for a chance to be part of a high performing team that is passionate about data? Does the thought of building a modern AI-enabled data platform from the ground up excite you? We are looking for someone to join our team to help enable solutions for the next generation of data analysis while working in a fast-paced environment that fosters growth and development. If this sounds like you, we want to hear from you.
We are currently seeking a Lead Cloud Data Platform Engineer to apply deep technical skills to create data products, develop AI-based automation tools, and build a world-class cloud analytics capability for Wells Fargo s Cyber Security Data Ecosystem on a Hybrid cloud. The successful candidate will continually innovate and pioneer the use of new technologies, and drive adoption of these amongst a team of talented data engineers. You will be an integral part of our migration from our on-premises systems to the Google Azure cloud. You will be a vital member of an agile team helping to lead the design and hands-on implementation of modern data processing capabilities. This is a visible role that allows you to share your knowledge and skills with other developers and product teams in a collaborative environment.
Responsibilities:
In this role you will
? Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
? Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
? Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
Required Qualifications:
? Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
? 5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
? 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer
? Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
Desired Qualifications:
? Proven experience using AI to auto-generate data engineering related code, context engineering and prompt engineering
? Deep background on cloud-based data lakes and warehouses, and automated data pipelines
? Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics
? Web based UI development using React and Node JS is a plus

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

Mindlance

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