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Senior Computer Scientist
Mercer University
Warner Robins, GA
…opportunities to the Director of Acquisition Strategy through a Chief Engineer/Technical…
Added 5 mins ago
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Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
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Product Engineer
True Talent Solutions Partners
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- $185,000 to $485,000 USD / year
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Senior Principal - Red Team Engineer
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Pre-Sales Systems Engineer - South Florida
Hewlett Packard Enterprise
All, FL · Miami, FL
…solutions. We have an exciting opportunity for a Pre-Sales Systems Engineer (SE) to join our team supporting our Higher Education and State Government business in Florida. This position is…
Added 9 mins ago
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Customer Solutions
Sent, Inc.
New York City, NY
- $130,000 to $230,000 USD / year
Once a customer signs, you take over. As a Customer Solutions Engineer, you own the customer's journey from signed contract to live, growing, and happy. You'll get them onboarded,…
Added 9 mins ago
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AI/ML Engineer
ZT Group Intl, Inc. dba ZT Systems
Secaucus, NJ
- $105,000 to $140,000 USD / year
ZT Systems, a wholly owned subsidiary of Sanmina,, is seeking AI/ML Engineer to help build, deploy, and operate AI applications. You will work closely with software engineers, data…
Added 19 mins ago
Facilities Design Civil Engineer Trainee
State of Connecticut
Newington, CT
…accepting applications for an exciting Facilities Design Civil Engineer Trainee (Transportation Engineer Trainee) position within the Facilities Design Unit in the Division of Facilities…
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Technical Enablement Consultant, Learning Systems
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- $67,000 to $100,000 USD / year
…committed to leading our clients across our various end markets to engineer a better future for our planet and its…
Added 25 mins ago
Automation Engineer- Plant
Trane Technologies
Newberry, SC
Trane is hiring an Automation Engineer in Newberry, SC. We are seeking a motivated engineer with experience in process automation, manufacturing systems, and digital tools to support and…
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Sr Project Manager - AI Data Centers
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Serve as the primary coordination point among the client, Project Engineer, discipline design teams, construction management, commissioning teams, vendors, and subcontractors.
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CMC Mechanical Analysis Lead Engineer
GE Aerospace
Greenville, SC
The Lead Engineer will be responsible for supporting and leading mechanical analysis projects for CMC hot section hardware and/or interfacing metallic components with specific focus on…
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Director, Architecture and Data
GE Aerospace
Greenville, SC
- $152,000 to $202,000 USD / year
Supervise the Data Fabric engineers (Sr Staff TPM–Data, Principal Data & Information Architect, Sr Staff Data Engineer, Staff Data Engineer) in a matrixed arrangement, keeping their written…
Added 25 mins ago
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Senior Manager - Quality Engineering
Oracle
Columbia, SC
- $126,200 to $264,100 USD / year
Added 25 mins ago
Software Engineer - Agentic Reliability Infrastructure (Technical Leadership)
Meta
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Meta is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability. This role sits at the intersection of large-scale distributed…
Added 25 mins ago
Engineer II, Software Assurance, Product Security (Remote)
CrowdStrike
Columbia, SC
As a Security Engineer II, you will focus on securing our open-source footprint and upstream dependencies. You will perform technical security assessments of GitHub organizations and…
Added 25 mins ago
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Lead Presales Value Consultant
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Columbia, SC
- $160,000 USD / year
As a Value Engineer, you will help prospects and customers understand the business value of UKG products and services. You will use research, interviews, discovery, operational data, and…
Added 25 mins ago
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Senior Java Full Stack Engineer – Spring Boot & AWS
Cognizant
Columbia, SC
- $86,000 to $99,000 USD / year
As a Senior Java Full Stack Engineer – Spring Boot & AWS , you will make an impact by designing and delivering scalable, secure, cloud-based applications using Java, Spring Boot, React, and…
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Senior Support Engineer I
Cleo
Columbia, SC
- $70,000 to $80,000 USD / year
Added 25 mins ago
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GCP data Engineer
Cognizant
Columbia, SC
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 25 mins ago
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Senior Knowledge Graph & Ontology Architect
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Columbia, SC
- $130,000 to $160,000 USD / year
Google Cloud Professional Data Engineer, Professional Cloud Architect, or equivalent cloud certifications.
Added 25 mins ago
Engineer II, Google Cloud
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As a Engineer II, Google Cloud you will contribute to the design, build, testing, and optimization of cloud-native applications on Google Cloud, supporting work across the full software…
Added 25 mins ago
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Front End React Engineer
Eliassen Group
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- $80 to $90 USD / hour
Our client seeks an experienced Front End React Engineer to join a small, focused team building features across three SaaS products in consumer goods retail. Global brands and retailers…
Added 27 mins ago
Senior Backend & Cloud Infrastructure Engineer
Sekai
United States
We're looking for a Backend & Cloud Infrastructure Engineer to help build and scale the systems behind Sekai. In this role, you'll work across backend development and cloud infrastructure,…

Closed listing

First Electronic Bank

Senior Software Engineer- AI & Data Platforms

Salt Lake City, UT, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: 5+ years of production data engineering experience, or equivalent scope, delivering reliable cloud-based solutions.
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans and their businesses. Partnering with some of the most innovative fintech companies in the nation, we offer a wide range of consumer and commercial credit and deposit products on a national basis. Offering deposit accounts and debit cards, revolving lines of credit, private-label credit cards, installment financing programs and more, FEB engages with strategic, collaborative partners, promoting services and products to provide the most beneficial consumer and commercial financing solutions.

We are engineering toward self-healing operations, reflex-speed decisions, and intelligent automation with a clear audit trail. We want systems that do more than surface information: they help the bank respond, recover, and act with control. Independently lead high-impact data engineering workstreams from problem definition through measurable production outcomes. Build reliable pipelines, trusted data models, and governed AI workflows, owning design, delivery, operational readiness, and results within Engineering standards.

Combine deep Python and SQL engineering with coding agents, retrieval systems, and targeted small-model experimentation. Evaluate architectures across approved cloud platforms based on security, correctness, performance, recoverability, and cost. Help establish how intelligent systems access and protect enterprise data, turning proven approaches into reusable team patterns.

Representative work: Modernize warehouse and lakehouse pipelines; integrate partner data through APIs, files, and secure shares; design event-driven data flows; strengthen reconciliation and automated recovery; build permission-aware agents; and evaluate emerging defenses in isolated environments.

What You'll Do:

End-to-end ownership: Clarify problems and success measures; design solutions within established architecture; manage dependencies and risks; and drive delivery within assigned workstreams, following Change Management processes, through adoption, production support, troubleshooting, and improvement. Data platforms and event-driven systems: Build secure batch, streaming, and message-driven pipelines and reusable data services. Evaluate compute placement, data movement, throughput, latency, delivery guarantees, recoverability, and operating cost. Apply FinOps discipline: monitor cloud compute and storage spend, identify wasteful patterns, and right-size workloads. Correctness and resilience: Engineer idempotent, replayable pipelines with deduplication, schema-evolution handling, and late-arriving data support. Build reconciliation, control-total, checkpoint, and bounded automated recovery tooling with human escalation, supporting Finance and Operations sign-off. Trusted analytics: Develop curated datasets, documented models, and semantic layers for internal and partner-facing reporting. Partner with business users and BI on definitions, validation, lineage, and controlled access. Agentic coding: Delegate bounded tasks to approved coding agents, supply repository context, manage handoffs, and independently validate generated code and data. Retain human ownership of quality, security, and release decisions. Governed AI workflows: Build retrieval and tool-using agents over approved data and MCP servers. Implement permission-aware access as defined by data owners briefed by Security, along with state management, evaluations, tracing, recovery, and approvals. Treat retrieved content as untrusted. Defensive AI engineering: Build and test defensive AI controls in partnership with Security, including segmented agent trust zones, isolated execution, policy-enforced access, and auditable tool use. Work within Security-provided sandbox environments and governance to evaluate emerging AI security and adversarial testing techniques through controlled, authorized exercises, producing evidence of meaningful testing to support go-live decisions. Measure containment, detection, and effects on legitimate workflows. Applied modeling: Prototype small-model or machine-learning applications for classification, extraction, entity matching, and data-quality triage. Compare reproducible evaluations against simpler approaches before recommending production use. Production accountability: Own reliability, operational readiness, runbooks, and remediation within assigned workstreams, following Change Management processes; collaborate on?CI/CD, identity, networking, secrets, observability, capacity, incidents, and costs. Produce audit evidence, support control testing, and maintain rollback plans and appropriate human approvals. Team leverage: Mentor through design and code reviews; convert proven approaches into reusable components and playbooks. Help develop validated engineering and security patterns.

Requirements

What We're Looking For:

5+ years of production data engineering experience, or equivalent scope, delivering reliable cloud-based solutions.
Demonstrated success independently leading ambiguous work through sustained production use while mentoring engineers and improving team practices.
Strong Python and advanced SQL, including automated testing, query-plan analysis, performance tuning, and transformation validation.
Production experience with Snowflake, Microsoft Fabric, Azure, AWS, or a comparable platform, including orchestration and data modeling. Depth and transferable judgment matter more than familiarity with every listed product.
Experience integrating APIs, files, databases, or data shares, including incremental processing, backfills, schema changes, reconciliation, and recovery.
Demonstrable use of coding agents to delegate meaningful work, manage context and handoffs, verify changes, and deliver tested results.
Hands-on experience building a retrieval, agent, or LLM-enabled workflow over real data; understanding of evaluation, prompt-injection risks, permission boundaries, and limitations.
Practical knowledge of CI/CD, infrastructure as code, least privilege, secrets management, observability, and troubleshooting.
Ability to translate ambiguous business needs into focused solutions and explain tradeoffs to non-technical users.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

Preferred Qualifications:

Advanced Snowflake engineering, including secure sharing, Snowpark, performance optimization, and cost governance.
Microsoft Fabric, Azure Data Factory, Synapse Analytics, Dataverse, Power BI semantic models, or warehouse-to-lakehouse modernization.
Event streaming and enterprise message queues, including Azure Service Bus and Azure Event Hubs alongside Apache Kafka, IBM MQ, and comparable platforms ; partitioning, ordering, replay, idempotent consumers, backpressure, and failure recovery.
AWS data services, secure cross-cloud integration, infrastructure automation, or private-network architectures.
Production agent systems, MCP integrations, persistent state, evaluation, tracing, and recovery.
Agent security, sandboxing, adversarial evaluation, or deception engineering; familiarity with emerging AI security research is a plus, not a prerequisite.
Small-model fine-tuning, LoRA/PEFT, quantization, self-hosted inference, or reproducible model evaluation.
Banking, fintech, payments, or another regulated environment.
Relevant certifications, or a master's or doctoral degree in a related field.

About employer

More about this job

Skills

Data engineering
Python
SQL
Change management
Troubleshooting
Reporting
Machine learning
CI/CD
Coaching
Test automation
Snowflake
Microsoft Azure
AWS
Data modelling
Workflow
Infrastructure as code
Computer science
Computer technology
Microsoft Azure Data Factory
Google Analytics
Microsoft Power BI
Apache Kafka
Research

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