Jobs in the United States

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Added 9 mins ago
Power Plant SME - Electrical Engineer
Leidos
Denver, CO
Leidos Energy is hiring for a Power Plant Subject Matter Expert (Electrical Engineer). You will apply a strong working knowledge of electrical design, construction, operation and…
Added 10 mins ago
Sr. Radiology Clinical Specialist (Current ARRT required) - West Coast
Medtronic
Lafayette, CO
…technologies help restore function, improve quality of life, and support better outcomes for patients around the…
Added 10 mins ago
Senior IDN Manager, US Sales - Endoscopy
Medtronic
Lafayette, CO
This is a remote, senior-level individual contributor position that can be based anywhere in the continental United States. The role requires more than 50% travel to strategic customer…
Added 10 mins ago
U
Manager Information Technology - End User Services
UCHealth
Aurora, CO
- $57.56 to $92.1 USD / hour
Candidates must reside in the Denver Metro area, regional travel is required
Added 10 mins ago
On-Orbit Test Astrodynamics Engineer
Northrop Grumman
Colorado Springs, CO
This position is 100% on site and does not support remote work.
Added 10 mins ago
Junior Systems Engineer
CACI International
Colorado Springs, CO
Support communications systems that connect satellite operations centers with remote satellite tracking stations worldwide.
Added 10 mins ago
U
Power Plant Operator
UCHealth
Colorado Springs, CO
- $25.8 to $38.7 USD / hour
This position is an onsite role and does not offer a hybrid or remote option
Added 10 mins ago
C
Senior Azure Virtual Desktop Engineer
Cognizant
Denver, CO
- $79,000 to $90,000 USD / year
As a Senior Azure Virtual Desktop Engineer, you will make an impact by designing, deploying, automating, and optimizing Azure Virtual Desktop environments that support both pooled…
Added 11 mins ago
C
Data Quality Engineer (Databricks & dbt)
Cognizant
Denver, CO
- $70,000 to $117,000 USD / year
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the USA. Regardless of your working…
Added 11 mins ago
C
GCP data Engineer
Cognizant
Denver, CO
- $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 11 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Denver, CO
- $130,000 to $160,000 USD / year
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of…
Added 11 mins ago
C
Senior Support Engineer I
Cleo
Denver, CO
- $70,000 to $80,000 USD / year
…thrives on solving complex technical challenges and improving how support teams operate. You’ll serve as a trusted escalation point for critical incidents and complex issues across EDI,…
Added 11 mins ago
Remote Support Engineer - MR/CT
Canon USA & Affiliates
Denver, CO
The Customer Solutions Center (CSC) Remote Support Engineer plays a critical role in delivering centralized, high-quality remote support for Canon Medical Systems customers across multiple…
Added 11 mins ago
Senior Facilities Engineer
BP Americas, Inc.
Denver, CO
…accountability, collegiality, innovation, and empowerment. At bpx, we support our people to learn and grow in a diverse and challenging environment where collaboration, continuous…
Added 11 mins ago
AA
Intermediate Software Engineer
Aegon Asset Management
Denver, CO
- $82,000 to $92,000 USD / year
The Intermediate Software Engineer utilizes web and cloud technologies, APIs, and third party software development frameworks to build and support basic application solutions.
Added 11 mins ago
AA
Intermediate Data Engineer
Aegon Asset Management
Denver, CO
- $77,000 to $95,000 USD / year
The Intermediate Data Engineer is responsible for the development and support of systems, services, and applications required for the collection, storage, processing, and analysis of all…
Added 11 mins ago
EG
Senior Systems Administrator / Infrastructure Engineer
Eliassen Group
Denver, CO
- $65 to $75 USD / hour
Our client seeks a senior-level Systems Administrator or Infrastructure Engineer to administer Linux and Windows Server environments, manage AWS services, and drive automation and…
Added 13 mins ago
DevOps Engineer
GD Information Technology, Inc.
United States
We are seeking a DevOps Engineer to join our team to support Centers for Medicare & Medicaid Services (CMS) Agile Tools, Licensing and Shared Services (ATLAS) program.
Added 29 mins ago
O
DevSecOps / Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $150,000 USD / year
Our clients describe our support as “absolutely excellent” and our people as “instrumental to organization’s success.” Winner of the United Nations COP27 Datathon, our work has earned all…
Added 29 mins ago
O
Software Engineer (Python, AWS)
OpenDataJobs
Remote, United States
- $92,000 to $133,000 USD / year
Our clients describe our support as “absolutely excellent” and our people as “instrumental to organization’s success.” Winner of the United Nations COP27 Datathon, our work has earned all…
Added 30 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
Location: Remote (US) - New York / Tri-State Area preferred
Added 30 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
Location: Remote (US) - New York / Tri-State Area preferred
Added 30 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
Location: Remote (US) - New York / Tri-State Area preferred
Added 30 mins ago
Senior Talent Partner - US
Runware
Remote, United States
You'll own and support hiring across some of our most strategic US roles, particularly in:
Added 30 mins ago
Functional Expert
Sidetrade
Remote, United States
…signature into renewal, alongside a Project Manager, a Data Engineer and a Customer Success Manager. The role is deliberately hybrid. Functional expertise is the core, and it is built as a…

Jobgether

Staff Data Engineer, Applied Data Science III

Remote, United States

Apply on jobs.lever.co About employer

Applications open in a new tab.

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