Jobs in the United States

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Added 5 hours ago
Software Engineer I - Java, Python , GCP , NoSQL - GMNST
American Express
Phoenix, AZ
…with Google Cloud technologies (BigQuery, BigTable, BigData, Spark, Scala, Java, Python, Vertx, RESTful micro services, Couchbase, Kafka, Airflow, familiarity and use of AI tools for…
Added 13 hours ago
Identity Graph Architect, Senior Consultant
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Indianapolis, IN · Jacksonville, FL · Kansas City, MO · Las Vegas, NV · Los Angeles, CA · McLean, VA · Miami, FL · Milwaukee, WI · Minneapolis, MN · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Raleigh, NC · Richmond, VA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
Experience in programming languages (Python, Java, or Bash scripting)
Added 14 hours ago
Senior Java/Big Data Developer - VP
Citigroup
Tampa, FL
Lead Java developer with experience in designing and developing Java/J2EE based web applications with good skills in JavaScript for development of Risk and Finance dashboard application…
Added 19 hours ago
Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
Big data tools: Databricks, Apache Spark, Delta Lake, etc.
Added 19 hours ago
Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Senior Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
Big data tools: Databricks, Apache Spark, Delta Lake, etc.
Added 19 hours ago
Associate Data Scientist
Steampunk
McLean, VA
Strong programming skills in SQL, Python, R, Scala, Java, or similar language
Added 19 hours ago
Data Solution Architect
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 19 hours ago
Data Engineer
Steampunk
Remote, United States
Data streaming systems: Storm, Spark-Streaming, etc.
Added 20 hours ago
O
Lead Principal Platform Software Engineer
Oracle
United States
- $113,600 to $306,400 USD / year
Proficiency in Python and Java with experience developing and maintaining production software in both languages.
Added 22 hours ago
AE
Sr Software Engineer II
American Express
New York, NY
- $123,000 to $215,250 USD / year
Engineer high-volume data pipelines and processing capabilities on GCP using BigQuery, Bigtable, Dataflow, Dataproc/Spark, Pub/Sub, Cloud Composer/Airflow, Cloud Storage, and related…
Added 22 hours ago
Staff Data Engineer Slack
Salesforce.com
NEW YORK, NY
…service level agreements (SLAs). Increasingly, AI agents and developer tools consume these metrics alongside people, so you build the trusted, machine-readable foundation that maps business…
Added 1 day ago
BF
MLOps engineer
BC Forward
Cincinnati, OH
- $80 to $85 USD / hour
Added 1 day ago
DevOps Middleware Infra Engineer - Assistant Vice President
Citigroup
Irving, TX
Containerization deployments of Java, Python, Node.js, Nginx, PEGA, Redis and Spark solutions on Kubernetes/OpenShift
Added 1 day ago
Senior Engineer - Data Engineering
Toyota
Plano, TX
Proficiency in PySpark, Scala-Spark, and scripting languages, with Databricks and AWS Glue expertise.
Added 1 day ago
AC
Java Developer
AMERICAN CYBERSYSTEMS INC.
Jersey City, NJ
- $70 to $73 USD / hour
…petabytes of data. Strong experience with: Databricks Apache Spark Apache Kafka AMPS, MQ, Hadoop, or experience with other enterprise messaging systems AWS cloud services Large-scale data…
Added 1 day ago
Full Stack Engineer II
AmerisourceBergen
Conshohocken, PA
…software development 3. Hands-on experience with Databricks (Spark, notebooks, Delta Lake) 4. Experience with Azure DevOps for CI/CD, version control, and work item tracking 5. Experience…
Added 1 day ago
Data Engineer
Trinzic
Camarillo, CA
Added 1 day ago
S
DevOps Engineer
SAP
Palo Alto, CA
- $162,260 to $206,460 USD / year
Working with SAP technologies, including SAP BTP, SAP AI Core, HANA Cloud, HANA Spark, and HANA Data Lake Filesystem; and
Added 1 day ago
C
Data Analyst I (Full Time) - United States
Cisco
San Jose, CA
- Full-time
Experience with big-data platforms (Hadoop, Spark)

Pacific Gas And Electric Company

Data Engineer, Expert

Oakland, CA, United States

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Job details

Apply by: Nov 5, 2026
Experience: 7 years of experience with data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
Posting language: English
Posted: Oct 28, 2026

Original job description

Requisition ID # 175376

Job Category: Information Technology

Job Level: Individual Contributor

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland

Position Summary

PG&E is seeking an Expert Data Engineer to lead the development of a modern, cloud-native data platform that supports vegetation management operations, regulatory compliance, and advanced analytics. This role is central to transforming fragmented legacy systems into a unified, audit-ready Snowflake Data Lakehouse, enabling scalable, secure, and transparent data access across the organization.

The engineer will design and implement robust ELT pipelines using Snowflake, Airflow, Informatica, and a suite of AWS services including Step Functions, Fargate, Lambda, DynamoDB, and S3. The role spans structured, semi-structured, and unstructured data domains, integrating sources such as Salesforce (OneVM), SAP, SharePoint, ArcGIS, and remote sensing imagery (LiDAR, orthoimagery, surface reflectance, etc.).

This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range ($140,000 - $190,000), the decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:

Bay Area Minimum: $140,00

Bay Area Mid-Point: $189,000

Bay Area Maximum: $238,000

Job Responsibilities

Design, build, and maintain scalable data pipelines using tools such as Airflow, Informatica, AWS services, and Snowflake to support ingestion, transformation, and curation of structured, semi-structured, and unstructured data.
Collaborate with cross-functional teams – including data scientists, analysts, and business stakeholders – to understand data requirements and deliver high-quality, analytics-ready datasets.
Implement and optimize data lakehouse architectures, ensuring efficient data flow across Bronze, Silver, and Gold layers in Snowflake.
Support the deployment of machine learning models by enabling feature pipelines, model input/output data flows, and integration with platforms like SageMaker or Foundry.
Apply software engineering best practices such as version control, CI/CD, unit testing, and infrastructure-as-code to ensure reliable and maintainable data workflows.
Monitor and troubleshoot data pipelines, ensuring data quality, lineage, and governance standards are met across all environments.
Mentor junior engineers and contribute to architectural decisions, code reviews, and knowledge sharing within the team.
Communicate technical concepts and project updates clearly to both technical and non-technical audiences.

Background Qualifications

Minimum

BA/BS in computer science, Management Information Systems or related field of study, or equivalent experience
7 years of experience with data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
Experience with multiple data engineering/ETL ecosystems.
Experience with machine learning algorithm deployment.

Desired

•

Master’s degree in Computer Science, Management Information Systems, or related field of study, or equivalent experience
Hands-on experience in data engineering, including:

•

Designing and building scalable ETL/ELT pipelines for structures, semi-structures, and unstructured data.
Working with cloud data platforms such as Snowflake Databricks, or AWS Redshift
Using data integration tools like Informatica or AWS Glue
Developing in distributed data processing frameworks such as Apache Spark
Proficiency in SQL and at least one programming language such as: Python, Scala, or Java
Ability to collaborate in cross-functional teams and communicate technical concepts to non-technical stakeholders
Strong understanding of software engineering best practices, including:

•

Unit testing and test-driven development (TDD)
Continuous integration/Continuous Deployment (CI/CD)
Source control using tools like Git and platforms like GitHub
Experience with cloud services (preferably AWS), including:

•

S3, Lambda, Step Functions, Fargate, DynamoDB, SNS/SQS, and CloudWatch.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Experience deploying and operationalizing machine learning models in production environments]
Familiarity with business intelligence tools such as PowerBI, Tableau, or Foundry for data visualization and reporting.
Experience working with geospatial data and tools such as ArcGIS
Experience with data cataloging, metadata management, and data lineage tools such as informatica and Collibra.

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More about this job

Skills

Regulatory compliance
Snowflake
Data engineering
Apache Airflow
Informatica
AWS
Amazon DynamoDB
Unstructured data
Salesforce
SAP
Microsoft SharePoint
ESRI ArcGIS
Remote sensing techniques
Machine learning
CI/CD
Unit testing
Infrastructure as code
Troubleshoot
Computer science
Apache Spark
Databricks
Amazon Redshift
Process data
SQL
Python
Scala
Oracle Java
Git
GitHub
IBM Terraform
Business intelligence
Microsoft Power BI
Tableau
Data visualization
Reporting
Cataloging

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