Jobs in the United States

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(USA) Manager, Finance
Walmart
BENTONVILLE, AR
- $80,000 to $155,000 USD / year
…performance across labor, productivity, volume, maintenance, automation, facility expenses, and key cost drivers. By linking operational metrics to financial outcomes, the team supports…
Added 2 mins ago
O
CI/CD and Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
…afterthoughts. You replace other people's manual work with automation and leave an audit trail as you go. You experiment, fail, learn,…
Added 3 mins ago
Senior Product Manager, Patient Experience
Bask Health
Remote, United States
Identify opportunities to simplify complex workflows through automation and thoughtful product design.
Added 3 mins ago
Senior Product Manager, Pharmacy Platform
Bask Health
Remote, United States
Experience designing systems for high-volume transaction processing, operational automation, or fulfillment tracking.
Added 3 mins ago
Senior Product Manager, Sites & Studio
Bask Health
Remote, United States
Explore opportunities to improve website creation through automation, reusable design systems, and AI-assisted tools.
Added 3 mins ago
Product Manager, EMR & Clinical Workflows
Bask Health
Remote, United States
Familiarity with clinical workflow automation, decision-support tools, or AI-assisted documentation.
Added 3 mins ago
Product Manager, Sites & Studio
Bask Health
Remote, United States
Explore opportunities to improve website-building workflows through automation and AI-assisted tools.
Added 3 mins ago
Apprentice Product Manager
Bask Health
Remote, United States
Experience with AI tools, automation, or data analysis.
Added 3 mins ago
Associate Product Manager
Bask Health
Remote, United States
Research new technologies, automation opportunities, and AI tools that could improve product experiences.
Added 3 mins ago
Product Builder, Early Career
Bask Health
Remote, United States
Experience with automation, AI integrations, or low-code development tools.
Added 3 mins ago
Product Operations Intern
Bask Health
Remote, United States
Experience using automation tools or AI-assisted workflows to improve productivity.
Added 3 mins ago
Senior Security Engineer
Runware
Remote, United States
Fluent in Python or Go, and comfortable writing the tooling, scanners and automation yourself rather than waiting for someone else to.
Added 3 mins ago
SC
Business Intelligence Developer
Sand Cherry Associates
Remote, United States
- $85,000 to $120,000 USD / year
We are seeking a Business Intelligence Developer with exceptional expertise in designing and developing Power BI dashboards, data modeling, and data analytics, combined with strong business…
Added 3 mins ago
Senior Demand Generation & Lifecycle Marketing Specialist
TuxCare
Remote, United States
5+ years of hands-on B2B demand generation, lifecycle marketing, or marketing automation experience.
Added 3 mins ago
Contract Role - DevSecOps / AWS Platform Engineer
WorldVia
Remote, United States
Implement infrastructure as code, backup and recovery, monitoring, and operational automation.
Added 3 mins ago
Director of Partnerships - US Remote
Insight Assurance
Remote, United States
We’re not your traditional audit firm - we’re tech-enabled, leveraging compliance automation and advanced collaboration tools to make audits faster, smarter, and more impactful for our…
Added 3 mins ago
Strategic Finance Manager (Remote, US)
Everyday Electric
Remote, United States
Comfort with AI tools and ability to quickly spot and implement opportunities for efficiency and automation.
Added 3 mins ago
Head of Infrastructure Operations
Runware
Remote, United States
…bare-metal provisioning, configuration management and fleet automation. You can still debug a misbehaving node at 2 a.m. and you'd rather fix the root cause than restart…
Added 3 mins ago
Head of Infrastructure Operations
Runware
Remote, United States
…bare-metal provisioning, configuration management and fleet automation. You can still debug a misbehaving node at 2 a.m. and you'd rather fix the root cause than restart…
Added 3 mins ago
Senior Security Engineer
Runware
Remote, United States
Fluent in Python or Go, and comfortable writing the tooling, scanners and automation yourself rather than waiting for someone else to.
Added 3 mins ago
Senior Accounting Manager
Vision RX Lab America LLC
Remote, United States
Identify and drive process improvements and automation opportunities within the accounting function.
Added 3 mins ago
Senior Power Platform Developer (Custom Dataverse CRM)
UtiliSave LLC
Remote, United States
Must be based in a US state within one hour of Eastern time
Added 3 mins ago
Industry Marketing Manager, Batch Industries
Seeq
Remote, United States
Comfort working in AI-enabled marketing environments, including workflow automation, structured content, and reusable GTM systems.
Added 3 mins ago
Senior Campaign Manager
Seeq
Remote, United States
Added 3 mins ago
Controller
Servant
Remote, United States
This is an opportunity to build a scalable finance function in a lean, technology-forward environment, using automation and AI-enabled tools to improve efficiency and accuracy.

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