1206 Professional Level Process Engineer jobs in Roseville,CA

Bay Area Minimum: $122,000

Bay Area Mid:$158,000

Bay Maximum: $194,000

California Minimum: $116,000

California Mid:$150,000

California Maximum:$184,000

Discretionary incentive compensation programs

Bachelor's degree in Information Systems, Computer Science, Engineering, Business Administration, Data Analytics, or related field.

5+ years of hands-on data engineering, integration engineering, or analytics engineering experience, OR Master's degree and 6+ years.

Production experience building and operating Spark/PySpark pipelines.

Experience integrating enterprise systems (Salesforce, SAP, GIS, or equivalent) into an analytics platform.

Experience building and maintaining Power BI reports, including DAX and data model optimization.

SQL and Python proficiency.

Experience with multi-tier enterprise technology environments

Experience working with staff across diverse IT disciplines.

Experience building and implementing technology solutions involving enterprise applications, information/data models, integrations, spatial technologies, analytics, or solution architecture within a complex enterprise or utility environment.

Experience gathering and documenting business requirements.

Experience supporting utility, infrastructure, asset management, wildfire risk, or operational programs preferred.

Master's Degree

Project Management Professional (PMP) certification

Technology, architecture, data, GIS, cloud, or other job-related certification.

Experience with emerging technologies, spatial analytics, LiDAR, machine learning, artificial intelligence, or predictive analytics.

Experience leading technology pilots, proofs of concept, prototypes, or emerging technology evaluations.

Hands-on Palantir Foundry experience (Code Repositories, Pipeline Builder, Ontology, Data Health).

Geospatial data engineering: ArcGIS layers, coordinate systems, spatial joins, LiDAR-derived datasets.

Experience productionizing statistical or machine learning models built by others.

Experience with several of the following: * Salesforce * Palantir Foundry * SAP * Esri ArcGIS * GIS / spatial analytics * LiDAR / remote sensing * Power BI * SQL * Python * Azure Data Services * Data governance and master data management * Machine learning and predictive analytics * Workflow automation * Enterprise application integration * Emerging technology evaluation and proof-of-concept development * PySpark / distributed data processing

15% shift premium pay.

$26.00 - $30.00/hr.

Health, dental, and vision plans

Health savings accounts (HSA)

Flexible spending accounts

401(K) retirement plan with an attractive employer match

Wellness programs

Life insurance

Long term disability insurance

Paid time off

Parental leave

D Shift, Wednesday-Friday, every other Saturday 6pm-6am

Full-time

High school diploma or equivalent trade school exp.

Basic electrical and mechanical fundamentals.

Strong ability to read, understand, and interpret technical documents and manuals.

Ability to create and maintain operating and training documents and manuals.

Indefinite US work authorized individuals only

Good troubleshooting ability and ability to use necessary tools and equipment, (i.e., vom meters, strobes, etc.)

Ability to lift and handle up to 100 pounds safely.

3 or more years of experience with areas such as: ventilation, air conditioning, electrical/electronics.

Bay Area Minimum: $122,000

Bay Area Mid:$158,000

Bay Maximum: $194,000

California Minimum: $116,000

California Mid:$150,000

California Maximum:$184,000

Discretionary incentive compensation programs

Bachelor's degree in Information Systems, Computer Science, Engineering, Business Administration, Data Analytics, or related field.

5+ years of hands-on data engineering, integration engineering, or analytics engineering experience, OR Master's degree and 6+ years.

Production experience building and operating Spark/PySpark pipelines.

Experience integrating enterprise systems (Salesforce, SAP, GIS, or equivalent) into an analytics platform.

Experience building and maintaining Power BI reports, including DAX and data model optimization.

SQL and Python proficiency.

Experience with multi-tier enterprise technology environments

Experience working with staff across diverse IT disciplines.

Experience building and implementing technology solutions involving enterprise applications, information/data models, integrations, spatial technologies, analytics, or solution architecture within a complex enterprise or utility environment.

Experience gathering and documenting business requirements.

Experience supporting utility, infrastructure, asset management, wildfire risk, or operational programs preferred.

Master's Degree

Project Management Professional (PMP) certification

Technology, architecture, data, GIS, cloud, or other job-related certification.

Experience with emerging technologies, spatial analytics, LiDAR, machine learning, artificial intelligence, or predictive analytics.

Experience leading technology pilots, proofs of concept, prototypes, or emerging technology evaluations.

Hands-on Palantir Foundry experience (Code Repositories, Pipeline Builder, Ontology, Data Health).

Geospatial data engineering: ArcGIS layers, coordinate systems, spatial joins, LiDAR-derived datasets.

Experience productionizing statistical or machine learning models built by others.

Experience with several of the following: * Salesforce * Palantir Foundry * SAP * Esri ArcGIS * GIS / spatial analytics * LiDAR / remote sensing * Power BI * SQL * Python * Azure Data Services * Data governance and master data management * Machine learning and predictive analytics * Workflow automation * Enterprise application integration * Emerging technology evaluation and proof-of-concept development * PySpark / distributed data processing

The full-time equivalent pay range for this position is $27.90 - $43.60/hr

Plus eligibility for bonus, stock

This job has a full time weekly schedule.

Day

Typically 1-3 years of relevant experience for entry to this level.

May require some higher education or specialized training/certification, or equivalent combination of education and experience.