Jobs in the United States

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Added 12 mins ago
Cloud Infrastructure Engineer Role
OpenDataJobs
Remote, United States
OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our…
Added 12 mins ago
Database Administrator Role
OpenDataJobs
Remote, United States
OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our…
Added 12 mins ago
O
DevSecOps / Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $150,000 USD / year
At Peregrine Advisors, you will own the delivery pipelines, automation, and environments that carry federal systems into production. But we hire people, not seats. As the work evolves, you…
Added 12 mins ago
QA and Test Engineer Role
OpenDataJobs
Remote, United States
Openings may emphasize manual and user acceptance testing, UI and UX testing, full-stack and end-to-end testing, test automation engineering (sometimes titled software development engineer…
Added 12 mins ago
O
CI/CD and Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
…testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), vulnerability scanning, and secrets…
Added 12 mins ago
O
Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
…commit, never in a final gate, and you are eager to grow into an engineer whose automation replaces other people's manual work and leaves an audit trail. When you hit a wall, you ask rather…
Added 12 mins ago
DevSecOps Engineer Role
OpenDataJobs
Remote, United States
OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our…
Added 12 mins ago
Full-Stack Developer Role
OpenDataJobs
Remote, United States
OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our…
Added 12 mins ago
Machine Learning Engineer Role
OpenDataJobs
Remote, United States
· Strong programming and software-engineering practice, including testing, version control, packaging, automation, and production debugging.
Added 12 mins ago
Metadata Management Specialist Role
OpenDataJobs
Remote, United States
OPEN Data Jobs (ODJ) is built to craft data careers. We connect high-potential data, AI, and software professionals with meaningful work on the cutting edge of the federal sector, and our…
Added 13 mins ago
Test Engineer-AI/LLM
OPPO US Research Center
Palo Alto, CA
OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance,…
Added 13 mins ago
Contract Role - DevSecOps / AWS Platform Engineer
WorldVia
Remote, United States
Our technology strategy centers on AWS, modern software development, automation, and AI. We're building a platform designed to transform how travel professionals operate their businesses.
Added 14 mins ago
Staff Data Engineer, Applied Data Science III
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for a Staff Data Engineer, Applied Data Science III based in the United…
Added 14 mins ago
J
Senior Software Engineer
Jobgether
Remote, United States
- $111,000 to $145,000 USD / year
The Senior Software Engineer will contribute to the development, enhancement, and ongoing support of enterprise software applications within a complex healthcare technology environment.…
Added 14 mins ago
J
Senior Cloud Security Engineer
Jobgether
Remote, United States
- $127,800 to $339,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Security Engineer based in the United States.
Added 14 mins ago
GTM Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GTM Engineer based in the United States.
Added 14 mins ago
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Forward Deployed Engineer
Jobgether
Remote, United States
- $90,000 to $120,000 USD / year
As a Forward Deployed Engineer, you will play a key role in transforming repetitive technical and operational processes into scalable tools, intelligent automation, and AI-powered…
Added 14 mins ago
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Director, AI Security
Jobgether
Remote, United States
- $154,000 to $265,650 USD / year
Leverage advanced AI models to identify cybersecurity exposures, prioritize risks, accelerate investigations, and support remediation through controlled automation and human validation.
Added 22 mins ago
Software Engineer, Applied AI – AI-Native Accounting Platform
MaxIT Consulting - Max Corporate Group
San Francisco · San Francisco, CA
MaxIT Consulting is looking for a Software Engineer, Applied AI to join a fast-growing, venture-backed AI-native accounting and financial data platform used by hundreds of leading…
Added 22 mins ago
Full-Stack AI Engineer – LLM Products for Finance & Accounting
MaxIT Consulting - Max Corporate Group
San Francisco · San Francisco, CA
MaxIT Consulting is looking for a Software Engineer, Applied AI to join a fast-growing, venture-backed AI-native accounting and financial data platform used by hundreds of leading…
Added 22 mins ago
Software Engineer, Product – Financial Data Platform
MaxIT Consulting - Max Corporate Group
San Francisco · San Francisco, CA
MaxIT Consulting is looking for a Software Engineer, Product to join a fast-growing, venture-backed financial data and accounting automation platform trusted by leading technology companies.
Added 22 mins ago
Senior Full-Stack Software Engineer – Fintech SaaS (SF or NYC)
MaxIT Consulting - Max Corporate Group
San Francisco · San Francisco, CA
MaxIT Consulting is looking for a Software Engineer, Product to join a fast-growing, venture-backed financial data and accounting automation platform trusted by leading technology companies.
Added 22 mins ago
Software Engineer, Data Platform – Financial Data Lakehouse
MaxIT Consulting - Max Corporate Group
New York · New York, NY
MaxIT Consulting is looking for a Software Engineer, Data Platform to join the data infrastructure team of a fast-growing, venture-backed financial data and accounting automation platform.
Added 22 mins ago
Data Engineer – ClickHouse, SQLMesh & TypeScript (Fintech)
MaxIT Consulting - Max Corporate Group
New York · New York, NY
MaxIT Consulting is looking for a Software Engineer, Data Platform to join the data infrastructure team of a fast-growing, venture-backed financial data and accounting automation platform.
Added 22 mins ago
Software Engineer, Developer Infrastructure – Fintech Platform
MaxIT Consulting - Max Corporate Group
San Francisco · San Francisco, CA
MaxIT Consulting is looking for a Software Engineer, Developer Infrastructure to join the platform engineering team of a fast-growing, venture-backed financial data and accounting…

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