Jobs in the United States

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Added 7 mins ago
IR
Digital Workplace Platform Administrator
International Rescue Committee
Remote, United States
- $88,277 to $102,451 USD / year
The AI Platform Engineer is that person. This is a technical operations role, not a user-facing one. This role is responsible for keeping the IRC's enterprise AI environment running…
Added 15 mins ago
Sr. Systems Integration Engineer, Automated Drive
Rivian
Palo Alto, CA
Track and manage software changes across the modeling and data branches supporting Raven (perception) testing, in coordination with the engineer tracking the onboard branch.
Added 15 mins ago
Sr. Systems Integration Engineer, Automated Drive
Rivian
Palo Alto, CA
Added 16 mins ago
PN
Senior Software Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $133,100 USD / year
We are seeking a Senior Software Engineer to join PNNL's advanced SI engineering team and help build next-generation systems across agentic SI platforms, large-scale data orchestration, and…
Added 16 mins ago
PN
Lead Software Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $161,300 USD / year
We are seeking an exceptional Lead Software Engineer to architect and build next-generation SI systems at PNNL, spanning agentic SI platforms, petabyte-scale data orchestration, and…
Added 16 mins ago
PN
Early Career Software Engineer
Pacific Northwest National Laboratory
Richland, WA
- $83,100 USD / year
We are seeking a motivated Early Career Software Engineer to join our dynamic team at PNNL and contribute to cutting-edge projects that shape the future of critical technology supporting…
Added 16 mins ago
PN
Software Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $109,000 USD / year
We are seeking a motivated Software Engineer to join our dynamic team at PNNL and contribute to cutting-edge projects that shape the future of critical technology supporting national…
Added 27 mins ago
TT
Senior Software Engineer, Autonomous Systems (C2/Backend/Service)
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Engineer reliable, scalable, and fail-safe software for high-stakes environments.
Added 47 mins ago
Lead Software Engineer
B10 Wells Fargo Bank, N. A.
COLUMBUS, OH
Wells Fargo is seeking a Lead Software Engineer within the Consumer Technology (CT) organization- providing technology solutions to the LOBs and manage the application portfolios through…
Added 1 hour ago
Senior Agentic AI Software Engineer
Insight Global
Nashville, TN
The Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI, supporting the revolutionization of healthcare by designing and…
Added 1 hour ago
Project Manager- Professional Services
Leena AI
Remote, United States
…the product's admin and backend layers - without requiring an engineer or solutions engineer to be pulled…
Added 1 hour ago
AI/ML Engineer / Data Scientist
American Operations Corporation
Montgomery, AL
The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze…
Added 1 hour ago
Full Stack Engineer Intern
Klatch AI
Remote, United States
Added 1 hour ago
AI/ML Engineer
Watkins Consulting
Huntsville, AL · Denver, CO
As an AI/ML Engineer at Watkins Consulting, you will be an integral part of our cutting-edge technology team. You will contribute to the design, development, and implementation of AI and…
Added 1 hour ago
AI Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for an AI Engineer to help build the data and model foundations that make Modern Relay’s platform reliable in production. You’ll work across data pipelines, model development,…
Added 1 hour ago
Senior Data Engineer
Ochsner Health
New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 1 hour ago
D
Client Growth Strategist
Discovered
Remote, United States
- $45,000 to $70,000 USD / year
You can't live with data. You don't need to be an engineer, but you must run your own analysis and reason about numbers under pressure. Spreadsheets, SQL, Python and AI tooling all count.
Added 1 hour ago
FY
Senior Machine Learning Engineer
Find Your Talent (FYT)
Remote, United States
- $200,000 to $250,000 USD / year
Added 1 hour ago
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI…
Added 1 hour ago
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve business problems and deliver immediate value across growth, sales, operations, and customer…
Added 1 hour ago
Data Engineer(UNPAID)
Holiday World
Remote, United States
We are seeking a Data Engineer to help build and optimize Holiday World’s data infrastructure. You will
Added 1 hour ago
AI Engineer Internship (UNPAID)
Holiday World
Remote, United States
…vision, recommendation systems, and generative AI. As an AI Engineer Intern, you will collaborate with our engineering team to design, develop, and deploy AI-powered features that bring…
Added 1 hour ago
Founding Engineer - Distributed Systems (Games + AI)
Phygtl, Inc.
Remote, United States
We are looking for a hands-on distributed systems engineer from the gaming industry who wants to become a founding engineer.
Added 1 hour ago
TH
Senior Software Engineer, Dermatology Inference
Tono Health
Brooklyn, NY
- $180,000 to $325,000 USD / year
Added 1 hour ago
TH
Data Engineer
Tono Health
Brooklyn, NY
- $140,000 to $190,000 USD / year

Tantalus

Analytics Engineer

Chattanooga, TN, United States

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Job details

Experience: 0–2 years of relevant experience in analytics, data science, software development, AI/ML, business intelligence, or a related technical field.
Posting language: English
Posted: Nov 4, 2026

Original job description

About Tantalus Systems (TSX: GRID)

Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their devices and systems deployed throughout the entire distribution grid – from the substation to the EV charger located behind the meter. We offer smart grid solutions across multiple levels: intelligent connected devices, communications networks, data management, enterprise applications and analytics. Learn more at http://www.tantalus.com/.

Come join us if you’re interested in being part of an entrepreneurial team, solving complex technical problems and delivering innovative solutions that will directly impact the electrification of everything and the decarbonization of our society.

We have operations throughout the United States and Canada with offices in Burnaby (British Columbia, Canada), Raleigh (North Carolina, USA), and Norwalk (Connecticut, USA).

This position offers a competitive salary plus variable compensation based on performance targets and business objectives. Tantalus also offers generous benefits, including medical, dental and vision plans, healthcare and dependent care flexible spending accounts and paid time off.

The Opportunity

Tantalus is seeking an early-career Analytics Engineer to join our Customer Operations team, reporting to the Senior Director, Customer Experience.

In this role, you will help turn data from Tantalus Advanced Metering Infrastructure (AMI) deployments into clear, actionable insights for utilities and internal teams. You will build reporting tools, automated analyses, dashboards, benchmarks, and data-driven workflows that demonstrate how Tantalus solutions are improving outage response, power quality, system reliability, and operational performance.

This is an opportunity to work at the intersection of utility operations, data analytics, AI, and customer outcomes. You will help customers understand the measurable value of their Tantalus deployments while supporting internal teams with the insights needed to improve onboarding, service delivery, network operations, and future analytics offerings.

Role Location

This is a hybrid role based in one of Tantalus' offices in Burnaby, BC; Chattanooga, TN; or Raleigh, NC.

Specifically, the Analytics Engineer will:

Build and enhance automated reporting tools, dashboards, and analytical workflows using AMI, outage, power quality, and utility operational data.
Develop reporting and trend-analysis capabilities that help customers quantify the operational value and performance improvements delivered through their Tantalus deployments
Analyze outage performance, reliability, power quality, device performance, and other operational metrics to identify meaningful trends, risks, and improvement opportunities.
Support the development of benchmarking models that compare performance across customer deployments and help utilities understand their relative cost position and operational outcomes.
Enhance existing analytics models, reporting frameworks, and internal analytics initiatives.
Apply AI, machine learning, and automation techniques to improve reporting accuracy, scalability, and insight generation.
Work with Customer Operations and implementation teams to support customer onboarding to analytics offerings, including data validation, report configuration, and ongoing reporting needs.
Partner with Product, Engineering, Analytics, and NOC teams to identify data requirements and deliver practical, scalable reporting solutions.
Help develop analytics and reporting capabilities that support the growth and ongoing operation of Tantalus’s Network Operations Center.
Prepare analytical reports, visualizations, and documentation that support data-driven decision making and continuous improvement.

What you Bring:

Education and Experience

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, Engineering, or a related field.
0–2 years of relevant experience in analytics, data science, software development, AI/ML, business intelligence, or a related technical field.
Proficiency in Python, including experience using Python for data analysis, automation, reporting, or machine learning applications.
Experience querying, manipulating, and analyzing data using SQL.
Experience using data analysis, data visualization, or machine learning tools to develop reports, dashboards, or analytical solutions.
Internship, co-op, academic project, or research experience involving data analytics, machine learning, software development, or reporting solutions is considered valuable.
Foundational understanding of statistics, machine learning, data analytics, and data visualization principles.
Experience building dashboards, reports, data pipelines, automated workflows, analytical applications, or internal tools.
Ability to translate ambiguous business questions into structured analytical approaches and practical outputs.
Strong analytical, problem-solving, and critical-thinking skills.
Strong verbal and written communication skills, with the ability to explain technical findings clearly to technical and non-technical audiences.
Ability to work independently, manage priorities, and collaborate effectively in a hybrid, cross-functional environment.

Personal Attributes Required

Curious and eager to learn, with a strong interest in AI, analytics, and emerging technologies.
Self-motivated and able to work independently while managing competing priorities in a hybrid work environment.
Strong problem-solving skills with the ability to think critically and approach challenges with creativity and resourcefulness.
Detail-oriented with a commitment to delivering accurate, high-quality work.
Collaborative team player who enjoys working across departments and building relationships with both technical and non-technical stakeholders.
Customer-focused mindset with a desire to understand customer needs and translate data into meaningful business outcomes.
Effective communicator with the ability to explain complex information in a clear and concise manner.
Adaptable and comfortable working in a fast-paced environment where priorities and business needs may evolve.

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