Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added just now
AT
Senior Network Engineer - DDoS
Akamai Technologies, Inc.
Denver, CO
- $112,500 to $202,500 USD / year
As a Senior Network Engineer, you will lead efforts in designing, implementing, and automating Akamai's global network infrastructure. You will address complex issues in routing, data…
Added just now
Senior Electrical Engineering Project Discipline Lead
Jacobs
Denver, CO
…such as artificial intelligence and the electrification of infrastructure expected to create exponential load growth for power utilities across North America. In response, Jacobs is…
Added just now
Google Cloud Engineer, Experienced Associate
PwC
Denver, CO
What You Must Have
Added just now
OT Security Platform Engineer – Dragos
Cognizant
Denver, CO
Practice - CIS - Cloud, Infrastructure, and Security Services
Added just now
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 just now
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 just now
AI
Geospatial System Engineer - Grand Junction, CO
ASRC Industrial Services
Grand Junction, CO
- $80,000 to $100,000 USD / year
Title: Geospatial System Engineer - Grand Junction, CO
Added just now
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 2 mins ago
DevOps Engineer
GD Information Technology, Inc.
United States
As a DevOps Engineer supporting the ATLAS software-delivery ecosystem, you will be trusted to operate secure enterprise platforms and automate reliable build, test, deployment, and…
Added 18 mins ago
Data Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 18 mins ago
Cloud Infrastructure Engineer Role
OpenDataJobs
Remote, United States
Register for Cloud Infrastructure Engineer Role
Added 18 mins ago
O
Senior Data Engineer (SQL)
OpenDataJobs
Remote, United States
- $150,000 to $170,000 USD / year
Work with architects, developers, and data engineers, and move database changes through continuous integration and continuous delivery (CI/CD) and infrastructure as code.
Added 18 mins ago
Data Architect Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 18 mins ago
Database Administrator Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 18 mins ago
O
DevSecOps / Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $150,000 USD / year
Build and maintain CI/CD pipelines for infrastructure validation, testing, deployment, and release promotion.
Added 18 mins ago
O
CI/CD and Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
At Peregrine Advisors, you will stand up and operate the delivery pipelines and cloud infrastructure that carry federal systems into production, keeping all of it secure and automated. But…
Added 18 mins ago
O
Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
…and continuous delivery (CI/CD) pipelines, and secure cloud infrastructure that keep federal systems running. But we hire people, not seats. As the work evolves, you will move to where the…
Added 18 mins ago
Data Security Specialist Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 18 mins ago
DevSecOps Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 18 mins ago
Machine Learning Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 18 mins ago
Software Engineer (Back End and Cloud) Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 19 mins ago
Backend Engineer, Generative AI Services
OPPO US Research Center
Palo Alto, CA
OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and…
Added 19 mins ago
Senior Software Engineer, Video Analytics
Zipdev
Remote, United States
Our client is looking for a hands-on Senior Backend Engineer with experience building and shipping machine learning or computer vision systems into real-world production environments. This…
Added 19 mins ago
Guardium Deployment SME Consultant
Two95 International Inc.
Remote, United States
Integrate Guardium solutions with databases, enterprise security platforms, SIEM tools, and other security infrastructure.
Added 19 mins ago
Forward Deployed Engineering & Applied AI Professionals
TDS Global Solutions
Remote, United States
Forward Deployed Engineer / Forward Deployed Software Engineer

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.

Apply on jobs.lever.co About employer

Report this job

Work requirements

Jobs in the United States