Jobs in the United States

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Senior Network Engineer
Cognizant
Raleigh, NC
We are seeking an experienced Senior Network Engineer to design, implement, secure, operate, and optimize enterprise data-center, campus, branch, wireless, and hybrid-cloud networks. The…
Added 1 min ago
Senior Mechanical Engineer
Eaton Corporation
Raleigh, NC
Eaton’s Electrical division is currently seeking a Senior Mechanical Engineer. This position follows a hybrid work model, with a combination of onsite and remote work.
Added 35 mins ago
Staff Mechanical Product Design Engineer, Platforms
Google
Sunnyvale, CA
Experience developing products with high speed signal, power, and cooling interconnects.
Added 41 mins ago
Senior Systems Engineer
Andromeda Systems Incorporated
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ASI is seeking a Senior Systems Engineer to support DoD aviation programs through reliability analysis, lifecycle sustainment, and readiness assessments. This highly motivated individual…
Added 1 hour ago
Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage
Google
Sunnyvale, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
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Senior II Software Engineer
Akamai Technologies, Inc.
Jefferson City, MO
- $146,400 to $263,600 USD / year
Are you passionate about building high-throughput, low-latency REST APIs that power critical platform infrastructure?
Added 1 hour ago
Design and Analysis Engineer (Electronic Sys Design & Analy)
The Boeing Company
Saint Charles, MO
The Boeing Company has an exciting opportunity for a Mission Systems Senior Lead Hardware Engineer to lead the definition and development of mission systems avionics and sensors for Phantom…
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Software Engineer 2 - CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
As a Software Engineer 2 - CoreAI on the Modernization Agent team, you will design and build the systems, agents, and developer experiences that power these modernization workflows. You…
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Principal Silicon Design Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $142,800 to $304,200 USD / year
We are looking for a Principal Silicon Design Engineer to work on leading edge custom IP development as part of the SCIPS (Semi-Custom and Central IP Silicon) team within CSME (Compute…
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Senior Mechanical Engineer, AI Systems
Microsoft
TX · WA · CA · Austin, TX · Redmond, WA · Mountain View, CA · Austin · Redmond · Mountain View
- $119,800 to $261,000 USD / year
Our Mechanical Engineering team is responsible for developing the server, rack, and infrastructure platforms that power Microsoft's global cloud and AI services. We partner closely with…
Added 2 hours ago
Equipment Engineer - Asset Performance Management
Jersey Central Power & Light Company
Trenton, NJ
The Asset Performance Management Engineer is responsible for monitoring, evaluating, and improving the health, performance, reliability, and risk profile of transmission and distribution…
Added 2 hours ago
Principal Engineer, Safety Analysis
TerraPower
Bellevue, WA
…significant innovations in the safety and economics of nuclear power, hybrid energy and medical applications all for significant human health…
Added 2 hours ago
Operational Support Engineer
Sealing Technologies
Annapolis Junction, MD
Sealing Technologies, a Parsons Company, is looking to hire a Operational Support Engineer/ Systems Engineer who will provide mission focused technical and operational support for the…
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Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive…
Added 2 hours ago
Sr. Manufacturing Engineer
OptiTrack
Corvallis, OR
OptiTrack seeks a hands-on Senior Manufacturing Engineer to develop, automate, optimize, and scale manufacturing for motion capture, tracking, vision, and sensing products. Working across…
Added 3 hours ago
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Electrical & Computer Engineer
True Talent Solutions Partners
Los Angeles, CA
- $120,000 to $220,000 USD / year
On-site, five days per week in Los Angeles, California, United States.
Added 3 hours ago
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Process Engineer
Walmart
MOUNT CRAWFORD, VA
- $80,000 to $120,000 USD / year
Support implementation and validation of automation and continuous improvement initiatives
Added 3 hours ago
Staff Data Engineer, Applied Data Science III
Jobgether
Remote, United States
The Staff Data Engineer will support the development of advanced data engineering and applied data science solutions for clients across the utility and energy sectors. This hands-on role…
Added 3 hours ago
RI
Staff Mechanical Design Engineer, Turbomachinery
Radiant Industries
El Segundo, CA
- $200,500 to $314,475 USD / year
Radiant is seeking a Staff Mechanical Design Engineer, Turbomachinery to serve as the Responsible Engineer for the turbomachinery within our nuclear-driven power generation system. This…
Added 3 hours ago
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Principal Mechanical Design Engineer, Turbomachinery
Radiant Industries
El Segundo, CA
- $200,500 to $314,475 USD / year
Radiant is seeking a Principal Mechanical Design Engineer, Turbomachinery to serve as the Responsible Engineer for the turbomachinery within our nuclear-driven power generation system. This…
Added 3 hours ago
Hardware Automation Engineer
OnLogic
South Burlington, VT
As a Hardware Automation Engineer, you will play a crucial role in defining the future of flexible manufacturing testing. In this position, you'll be responsible for developing and…
Added 3 hours ago
Firmware Engineer, Industrial Solutions
OnLogic
South Burlington, VT
Join OnLogic as a Firmware Engineer and contribute to the development and sustaining of our industrial computing products. This dynamic role involves firmware and software coding across…
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Firmware Engineer, Industrial Solutions
OnLogic
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Join OnLogic as a Firmware Engineer and contribute to the development and sustaining of our industrial computing products. This dynamic role involves firmware and software coding across…
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Firmware Engineer
OnLogic
South Burlington, VT
Join OnLogic as a Firmware Engineer and contribute to the development and sustaining of our industrial computing products. This dynamic role involves firmware and software coding across…
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Firmware Engineer
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Join OnLogic as a Firmware Engineer and contribute to the development and sustaining of our industrial computing products. This dynamic role involves firmware and software coding across…

Jobgether

Staff Data Engineer, Applied Data Science III

Remote, United States

Apply on jobs.lever.co About employer

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Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Engineer, Applied Data Science III based in the United States.

The Staff Data Engineer will support the development of advanced data engineering and applied data science solutions for clients across the utility and energy sectors. This hands-on role combines data pipeline development, data architecture, statistical modeling, and machine learning to turn complex utility data into actionable intelligence. You will work with diverse datasets, including smart meter readings, grid operations, geographic information systems, and customer information. Collaborating with client teams and senior technical experts, you will design reliable data workflows and contribute to scalable analytical solutions. Your work will help utilities improve forecasting, operational insights, and data-driven decision-making. This is an opportunity to contribute to modernizing energy infrastructure and building a more resilient, efficient, and sustainable power grid.

Accountabilities

You will deliver technical workstreams across data engineering, architecture, and applied data science, translating client requirements into reliable data solutions and analytical models while ensuring quality, scalability, and clear technical communication.

• Explore and assess utility datasets, including advanced metering infrastructure (AMI) interval data, SCADA, GIS, asset information, customer programs, and billing records.

• Design, develop, test, and maintain repeatable ETL/ELT pipelines that ingest, transform, reconcile, and deliver data from databases, files, APIs, and other approved sources.

• Build reusable Python and SQL components for data cleansing, standardization, aggregation, validation, and feature preparation.

• Profile source data and implement automated quality checks covering completeness, validity, consistency, uniqueness, and freshness.

• Develop record-matching and entity-resolution logic to reconcile customer, asset, device, program, and operational records.

• Troubleshoot pipeline failures, data inconsistencies, and performance issues, documenting findings and corrective actions.

• Translate business, analytical, and operational requirements into documented data architecture and integration designs.

• Develop conceptual, logical, and physical data models, entity relationship diagrams, schemas, data dictionaries, and source-to-target mappings.

• Design data flows connecting source systems, staging and storage layers, analytical datasets, models, and downstream applications.

• Evaluate and document architectural trade-offs involving relational databases, warehouses, lakehouses, batch processing, APIs, scalability, performance, maintainability, and cost.

• Incorporate client requirements for data ownership, access controls, sensitive information, retention, lineage, and auditability into solution designs.

• Develop and validate forecasting models, classification approaches, anomaly detection, clustering methods, and prioritization models using utility datasets.

• Address modeling challenges such as overfitting, class imbalance, sampling bias, and time-dependent validation.

• Monitor model performance and support documented recalibration, retraining, and ongoing model updates.

• Connect analytical models to reliable data pipelines and reproducible datasets, coordinating with client deployment teams where appropriate.

• Clearly communicate model assumptions, uncertainty, limitations, and the distinction between observed, inferred, and predicted results.

• Participate in requirements workshops, technical interviews, architecture reviews, and client working sessions.

• Prepare technical reports, process maps, architecture documentation, and analytical presentations.

• Deliver assigned work within agreed scope, schedules, budgets, 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 tools responsibly, validating generated outputs and protecting confidential client information.

Requirements:

The ideal candidate combines practical data engineering expertise with applied statistical and machine learning experience, a solid understanding of utility-sector data, and the ability to communicate technical solutions effectively to diverse stakeholders.

• 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 experience in the utility sector, with hands-on contributions to data engineering, applied data science, and data architecture or integration design.

• Demonstrated experience building and maintaining repeatable data pipelines and integrations beyond one-time data preparation or exploratory notebooks.

• Experience designing data models, schemas, relationships, and source-to-target mappings, with the ability to explain architectural decisions.

• Strong proficiency in Python and SQL, including maintainable programming, complex queries, data transformation, and troubleshooting.

• Experience with pipeline testing, scheduling or orchestration, logging, data-quality validation, and failure investigation.

• Practical experience with at least one cloud or distributed-data platform, such as Databricks, Microsoft Azure, AWS, or Google Cloud.

• Strong understanding of probability, sampling, statistical inference, regression, confidence and prediction intervals, and uncertainty.

• Experience developing and evaluating statistical or machine learning models using appropriate validation methods and interpretation techniques.

• Familiarity with Git, code reviews, software testing, technical documentation, and reproducible analytical workflows.

• Ability to explain technical designs, analytical findings, assumptions, and limitations to both technical and non-technical audiences.

Preferred qualifications:

• Experience with Databricks, Spark/PySpark, or comparable distributed-data technologies.

• Knowledge of dimensional modeling, data warehouse or lakehouse architecture, 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 machine learning frameworks and tools such as XGBoost, LightGBM, PyMC, PyTorch, or TensorFlow.

• Experience working with utility datasets, distributed energy resource (DER) registries, load forecasting, sensor analytics, or engineering automation.

• Master's degree in a relevant quantitative or technical discipline.

Benefits:

• Comprehensive health and wellness coverage, including medical, dental, and vision insurance, with 100% of employee premiums covered.

• Generous paid time off.

• Paid holidays.

• Employee ownership opportunities through a share-based employee program.

• 401(k) retirement plan with an employer match of up to 4%, fully vested from day one.

• Opportunities to collaborate with recognized industry experts and energy-sector professionals.

• Remote work within the United States.

• Occasional business travel, expected to be 10% or less.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Jobs in the United States