Jobs in the United States

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Added 2 mins ago
Senior Software Engineer, Tooling
Docker
Remote, United States
We're looking for a Senior Engineer to give those applications a common foundation and then build the custom tools the business needs on top of it. You'll create a framework that makes it…
Added 5 mins ago
Software Engineer
Forescout Technologies Inc.
Dallas, TX
Added 7 mins ago
ZT
2027 Summer Internship (US) - Software Engineer, AI Features & Product Convergence, Zebra Task Manager
Zebra Technologies Corporation
Kennesaw, GA
- $33 to $40.5 USD / hour
Added 7 mins ago
ZT
2027 Summer Internship (US) - Software Engineer
Zebra Technologies Corporation
Holtsville, NY
- $29 to $33 USD / hour
The Advanced Data Capture group is part of Zebra’s Asset Visibility Solutions
Added 7 mins ago
ZT
2027 Summer Internship (US) - Systems Engineer
Zebra Technologies Corporation
Germantown, MD
- $33 to $40.5 USD / hour
Added 8 mins ago
Senior Data Engineer
Virtasant
Remote, United States
For our client, we are looking for a Senior Data Engineer who combines strong technical expertise with ownership and sound engineering judgment.
Added 8 mins ago
Sales Executive, Automation – Public Sector (Federal, State & Local)
SS&C Technologies, Inc.
Remote, United States
…design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with…
Added 12 mins ago
Engineer III - Technology
Edward Jones
United States
As an Engineer III on the Bank and Lending Product team, you will play a key role in designing, developing, and supporting critical applications that power banking and lending services…
Added 14 mins ago
Analog Design Engineer (TERADYNE, Agoura Hills, CA)
Teradyne
Agoura Hills, CA
Teradyne’s Semiconductor Test Division in Agoura Hills, CA is seeking an Analog Design Engineer to contribute to the development of high-speed analog and mixed-signal ASICs for Automatic…
Added 15 mins ago
A|
Applied AI Analyst
Ascentek | Lube-Tech
Golden Valley, MN
- $115,000 to $130,000 USD / year
Partner with the Data Engineer and the IT Platforms Architect so solutions and agents use well-modeled, governed Fabric data
Added 15 mins ago
Senior DevSecOps Engineer
Synergy BIS
United States
…SaaS and Low-Code/No-Code Solutions, Emerging Technologies, Data Analytics and Visualization, Information Assurance, and Business Process…
Added 18 mins ago
AI Engineer 4
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met
Added 18 mins ago
AI Engineer – Embedded Enablement & Agentic AI
Minth North America
Wixom, MI
Full Time · MinCloud IT · AI Engineer I/II (Early Career) · Wixom, MI
Added 18 mins ago
Hardware Machine Learning Engineer
IMC
NY
Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
Added 19 mins ago
Dedicated Support Engineer
LiveRamp, Inc.
San Francisco, CA
…rapidly growing team? Consider joining us. Our Dedicated Support Engineer team is scaling and we’re looking to add a Dedicated Support Engineer to the…
Added 21 mins ago
CH
Software Development Engineer I or II (Customer Acquisition)
CAMBIA HEALTH SOLUTIONS, INC.
SALT LAKE CTY, UT
- $84,000 to $151,000 USD / year
Job Title: Software Development Engineer I or II (Customer Acquisition) Description: Software Development Engineer I or II (Customer Acquisition) Hybrid role (3 days/week in office) at our…
Added 21 mins ago
Advanced Backend Software Engineer
STERIS CORPORATION
SALT LAKE CITY, UT
Position Summary Join the STERIS Digital Workflow Solutions team as an Advanced Backend Software Engineer. In this role you will be responsible for developing deep expertise in the…
Added 21 mins ago
Sr. SDET - 3056958
APEX SYSTEMS, LLC
SALT LAKE CITY, UT
Added 22 mins ago
VT
Systems Engineer
VOLT TEMPORARY SERVICES
SALT LAKE CITY, UT
- $55 to $60 USD / hour
Added 22 mins ago
Principal Engineer
NetApp
San Jose
NetApp is seeking a Principal Engineer to set the technical direction for the Active IQ platform, defining the architecture and engineering approach for the AI, agentic AI, and intelligent…
Added 22 mins ago
AI Threat Defense Engineer I, Google Cloud Consulting, Professional Services
Google
Austin, TX · Atlanta, GA · Boulder, CO · Chicago, IL · San Francisco, CA · Sunnyvale, CA
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
Added 22 mins ago
ASIC Design Verification Engineer, Machine Learning
Google
Sunnyvale, CA
As an ASIC Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in…
Added 22 mins ago
Technical Product Specialist
Eaton Corporation
ON, CA
· Certified Electrical Technologist designation or Professional Engineer designation or working towards it.
Added 23 mins ago
Principal Front-Office Engineer - Investments Technology (Private Markets)
Liberty Mutual Insurance
Boston
…delivered tools. Design and build full-stack Python applications, data pipelines, and decision-ready reports on enterprise platforms (GitHub, CI/CD via GitHub Actions, Snowflake, Azure…
Added 25 mins ago
Senior Forward Deployed Engineer (FDE Lead)
Syncreon Consulting
Pittsburgh, PA
Ability to operate across architecture, data, and platform layers.

Electric Power Engineers

Data Engineering, Architecture & Applied Data Science, III

Austin, TX, United States

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Job details

Apply by: Nov 4, 2027
Experience: This is a hands-on individual contributor role for a professional with 4–5 years of relevant experience.
Posting language: English
Posted: Nov 4, 2026

Original job description

Overview

We are designing the grid of the future!

EPE is seeking a Staff Engineer III with demonstrated experience in data engineering, data architecture, and applied data science to support utility and energy-sector consulting engagements. You will help clients translate fragmented data and complex business requirements into well-designed data models, reliable data pipelines, integrated workflows, and statistically rigorous analytical solutions. Your work will span data discovery, architecture and integration design, hands-on development, machine learning, and model maintenance.

This is a hands-on individual contributor role for a professional with 4–5 years of relevant experience. You will independently deliver defined technical components and workstreams, collaborating with senior technical staff and client architects on broader architectural decisions. Depending on the engagement, responsibilities may involve direct implementation or design specifications and advisory support for client-owned implementation.

Responsibilities

How you can make an impact:

Data Engineering

Design, develop, test, and maintain repeatable ETL/ELT pipelines that ingest, transform, reconcile, and deliver data from databases, files, APIs, and other approved sources.
Using agentic workflows, Develop reusable Python and SQL components for data cleansing, standardization, aggregation, validation, and feature preparation.
Implement scheduling, dependency management, logging, failure handling, and monitoring for assigned data workflows.
Profile source data and establish automated checks for completeness, validity, consistency, uniqueness, and freshness.
Develop record-matching and entity-resolution logic to reconcile customer, asset, device, program, and operational records.

Data Architecture and Integration Design

Translate business, analytical, and operational requirements into documented data architecture and integration designs for defined solutions or components.
Develop conceptual, logical, and physical data models, entity relationship diagrams, schemas, data dictionaries, and source-to-target mappings.
Define identifiers, relationships, reference data, authoritative sources, reconciliation rules, and requirements for retaining historical changes.
Design data flows connecting source systems, staging and storage layers, analytical datasets, models, and downstream applications.
Document data lineage and requirements for ownership, access, retention, and auditability, and prepare implementation-ready specifications and handoff documentation.

Applied Data Science

Apply probability, statistical inference, regression, hypothesis testing, and uncertainty quantification to real-world client problems.
Develop and validate forecasting, classification, anomaly-detection, clustering, and prioritization models as appropriate to the application.
Perform feature engineering, model selection, tuning, and evaluation against meaningful baselines.
Address data leakage, overfitting, class imbalance, sampling bias, and time-dependent validation requirements.
Monitor deployed models, investigate false positives and false negatives, and support recalibration and retraining.

Client and Technical Delivery

Participate in requirements workshops, technical interviews, architecture reviews, and client working sessions.
Prepare clear technical reports, process maps, design documentation, and analytical presentations.
Deliver assigned work within agreed scope, schedule, budget, and quality expectations.
Identify and escalate data-access constraints, technical dependencies, methodological limitations, and delivery risks.
Contribute to peer reviews, reusable technical methods, and guidance for less-experienced colleagues.
Use AI-assisted development responsibly, validating outputs and protecting client information.

Qualifications

Bring your passion, here's what’s needed:

Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, or a closely related quantitative discipline.
4–5 years of relevant professional experience, including hands-on work in data engineering and applied data science, with demonstrated contributions to data architecture or integration design.
Experience building and maintaining repeatable data pipelines or integrations, including testing, scheduling or orchestration, logging, and data-quality validation, beyond one-time data preparation or exploratory notebooks.
Experience designing data models, schemas, relationships, and source-to-target mappings, and explaining the rationale behind design decisions.
Strong Python and SQL proficiency, including complex queries, data transformation, relational databases, structured and semi-structured data, and APIs/JSON.
Working experience with at least one cloud or distributed-data platform, such as Databricks, Azure, AWS, Google Cloud, or an equivalent environment.
Strong understanding of probability distributions, conditional probability, sampling, statistical inference, regression, confidence and prediction intervals, and uncertainty.
Practical experience developing and evaluating statistical or machine learning models, including appropriate validation and interpretation of results.
Hands-on experience with pandas, NumPy, scikit-learn, and statistical libraries such as SciPy or statsmodels.
Experience with Git, code review, testing, technical documentation, and reproducible analyses.
Ability to communicate technical designs, analytical findings, assumptions, and limitations to technical and nontechnical audiences.

Preferred Qualifications

Experience with AI / agentic coding workflow processes and automating workflows and analytical processes.
Experience with Databricks, Spark/PySpark, Delta Lake, or comparable distributed-data technologies.
Experience with dimensional modeling, warehouse/lakehouse design, metadata management, or data catalogs.
Experience with workflow orchestration, CI/CD, model versioning, experiment tracking, or model monitoring.
Experience with time-series or probabilistic forecasting, Bayesian methods, simulation, or optimization.
Familiarity with XGBoost, LightGBM, PyMC, PyTorch, or TensorFlow, without an expectation of expertise in every framework.
Experience with utility datasets, DER registries, load forecasting, sensor analytics, or engineering automation.
Master’s degree in a relevant quantitative or technical discipline.

Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century, Electric Power Engineers (EPE) has partnered with power and energy clients across the globe, providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space, we are focused on building a modern, secure, and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

How we support you:

Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you
Generous PTO and paid holidays
MyShare Employee Ownership Program
Work with industry leaders
401K, up to a 4% match (100% vested from day 1)

Location: This position will be located in City, State

Travel: Occasional travel may be needed (10% or less)

EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster, and its supplement are available using the following links: EEOC is the Law Poster

Third-Party Recruiting Notification

EPE does not accept unsolicited resumes from third-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information, may be treated as a direct application from the person identified in the resume, and will not be eligible for placement fee payment to the agency. EPE will not pay a fee to a third-party recruiter or agency without a previously signed third-party agreement and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.

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