Jobs in the United States

25+ jobs

Save this search

Added 2 mins ago
C
Senior Java Full Stack Engineer - Spring Boot & AWS
Cognizant
Jefferson City, MO
- $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…
Added 9 mins ago
Fabrication Wet Etch Engineer, Quantum AI
Google
Goleta, CA
Experience with defect and surface metrology (SEM, AFM, ellipsometry, particle inspection) and data analysis (Python, SQL, or JMP).
Added 9 mins ago
Senior Software Engineer, AI/ML Infrastructure, Ads Safety
Google
Pittsburgh, PA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 13 mins ago
Lead, Software Engineer - Backend /Integration - TS/SCI
L3Harris Technologies
Patrick Air Force Base, FL
Job Title: Lead, Software Engineer - Backend/Integration
Added 16 mins ago
Software Engineering Manager, High Performance Networking
Google
Sunnyvale, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 19 mins ago
Software Engineer, Security
SpaceXAI
San Francisco, CA · New York, NY
You form hypotheses about why data is helping or misleading the model, build the systems to test them, run ablations, and read the rollouts to find the bug, shortcut or mismatch behind a…
Added 19 mins ago
Software Engineer, Research Tooling
SpaceXAI
Palo Alto, CA
As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract…
Added 19 mins ago
Software Engineer, Pretraining Data
SpaceXAI
Palo Alto, CA
We're looking for Software Engineers to build the data systems behind our frontier models' initial training. You'll work on large-scale crawling, data platform, and pipeline infrastructure,…
Added 19 mins ago
Software Engineer, Model Routing & Inference
SpaceXAI
New York, NY · San Francisco, CA
As a Software Engineer on the Model Routing & Inference team at SpaceXSI, you'll build the inference platform that powers every AI interaction in the product. This team owns the full…
Added 19 mins ago
Software Engineer, Model Lifecycle and Signals
SpaceXAI
New York, NY · San Francisco, CA
As a Software Engineer on the Model Lifecycle and Signals team at SpaceXSI, you'll own the bridge between frontier models and every user-facing Cursor product, used at a scale few teams…
Added 28 mins ago
CONTINUOUS IMPROVEMENT ENGINEER
Wells Concrete Products, Inc.
Albany, MN
The Continuous Improvement (CI) Engineer leads and facilitates continuous improvement initiatives across the precast concrete manufacturing operation. This position drives operational…
Added 34 mins ago
SI
Principal Platform Solution Engineer
Salesforce, Inc.
Remote, United States
- $173,460 to $255,150 USD / year
Data Governance & Sovereignty: Architect solutions that address complex data residency, discovery, and classification requirements, ensuring customers maintain full control over their…
Added 34 mins ago
SI
Forward Deployed Engineer Specialists (FDE) (Mid/Senior Level)
Salesforce, Inc.
NY
- $148,500 to $285,800 USD / year
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and…
Added 35 mins ago
Sr. Staff Physical Design Engineer
Advanced Micro Devices, Inc
Austin, TX
Join an experienced physical design team working on AMD graphics IP for next-generation AI data center chips. In this role, you will own and drive complex physical design work for…
Added 35 mins ago
Hardware Engineer, Networking Switch Bring Up and Rack Level Performance Validation
Advanced Micro Devices, Inc
Santa Clara, CA
…on product quality, time-to-market, and AMD’s success in the data center…
Added 35 mins ago
Devops Platform Engineer
Advanced Micro Devices, Inc
San Jose, CA
We are seeking a hands-on Platform Engineer to build and operate the infrastructure foundations that enable engineering teams to deliver reliable, scalable, and secure products. This role…
Added 35 mins ago
Hardware Systems Engineer -Data Center/Lab Environment
Advanced Micro Devices, Inc
Secaucus, NJ
…problems, and contributing to a well-organized, high-functioning data center/lab…
Added 36 mins ago
Forward Deployed Engineer
Safe Security
Remote, United States
…real-time view of their security posture. We don’t just provide data; we provide…
Added 45 mins ago
TT
Product Engineer, Scraping
True Talent Solutions Partners
San Francisco, CA
- $235,000 to $260,000 USD / year
Build developer-facing products that turn complex web pages into clean data and actions for AI applications. You will own features end to end, helping shape an AI infrastructure product…
Added 47 mins ago
Software Engineer, Bugbot
SpaceXAI
New York, NY · San Francisco, CA
We're hiring a Software Engineer to work on Bugbot. Bugbot reviews pull requests, catches bugs, suggests improvements, and is becoming a critical part of how engineering teams ship…
Added 47 mins ago
Engineering Manager, Agent & Product Security
SpaceXAI
New York, NY · Palo Alto, CA
- Engineer the isolation that makes Cursor safe to run inside customers' most valuable codebases: tenancy, workspace, secret, and data protections designed for real adversaries
Added 47 mins ago
ASIC Design Engineer, Cloud TPU
Google
Sunnyvale, CA
As an RTL Design Engineer on the TPU team, you will be a key contributor to the development of Google's AI accelerators. You will leverage your expertise in digital logic design, computer…
Added 47 mins ago
Staff Software Engineer, AI/ML, Cloud IAM, Dataset and Model Training
Google
Sunnyvale, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 hour ago
ET
Machine Learning Data Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $175,000 USD / year
We are seeking a skilled and experienced Machine Learning Data Engineer to join our growing AI and Data Engineering team in the United States. The ideal candidate will be responsible for…
Added 1 hour ago
KC
Service System Engineer Mechanical/Optical
KLATencor Corporation
Ann Arbor, MI
- $97,000 to $164,900 USD / year
…area of expertise. PRIMARY RESPONSIBILITY: A Service Systems Engineer is responsible for driving design changes, sometimes fundamental ones, to optimize tool serviceability,…

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.

Find open jobs More jobs with this employer

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

Similar jobs hiring now

Search current openings

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

Report this job