Requisition ID # 159114 Job Category: Information Technology Job Level: Individual ContributorBusiness Unit: Information TechnologyWork Type: HybridJob Location: Oakland Department OverviewInformation Systems Technology Services is a unified organization comprised of various departments which collaborate effectively in order to deliver high quality technology solutions. Position Summary The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, analytic products, which includes data applications, reports, and dashboards. We are looking for a proactive, detail-oriented, and motivated individual who can thrive in a fast-paced environment and help us scale our analytic product development to meet our clients' ever-evolving needs. The data engineer will collaborate with our cross functional team including solution architects, data pipeline engineers, data analysts, and data scientists on mission critical initiatives and will ensure optimal delivery of analytic products. You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nations most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&Es sustainability goals. This position is hybrid, working from your remote office and the Oakland General Office(OGO) once a month and for critical in person meetings as needed. 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, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors.? This job is also eligible to participate in PG&Es discretionary incentive compensation programs. A reasonable salary range is:? Bay Area Minimum: $118,000Bay Area Maximum: $188,000 Responsibilities <ul style="margin-bottom:11.0px"><li>Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front end applications.</li><li>Implement data transformations to derive new datasets or create ontology objects necessary for business applications.</li><li>Monitor and debug critical issues such as data staleness or data quality</li><li>Improve on performance of data pipelines (latency, resource usage)</li><li>Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate) </li><li>Implement data visualizations using Foundry Tools (Quiver and Contour).</li><li>Maintain applications as usage grows and requirements change.</li><li>Available for 7x24 operational support.</li></ul> Minimum Qualifications<ul><li>Bachelor's Degree in Computer Science, Engineering, or a related field.</li><li>5 years of experience as a data engineer or in a similar role</li><li>Hands-on experience with building data pipelines from ingestion to final object delivery.</li><li>Experience with developing analytic applications, reports, or dashboards</li><li>Experience in using no- and low-code tools for developing analytic applications</li><li>Strong SQL skills and experience working with large datasets and complex data structures.</li><li>Complete proficiency in Python and or Pyspark</li><li>Experience in Typescript (preferred) or Javascript</li><li>Excellent problem-solving and analytical skills with a strong attention to detail.</li><li>Experience with Palantir Foundry platform.</li></ul> Desired Qualifications<ul style="margin-bottom:11.0px"><li>Knowledge with commercial visualization tools such as Tableau or Power BI.</li><li>Databases familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce etc. </li><li>Git knowledge of version control / collaboration workflows and best practices </li><li>Agile familiarity with agile and iterative working methodology and rapid user feedback gathering concepts </li><li>UX design knowledge of best practices and applications </li><li>Data literacy data analysis and statistical basics to ensure correctness in data aggregation and visualization.</li></ul> #featuredjob

Requisition ID # 159094 Job Category: Information Technology Job Level: Individual ContributorBusiness Unit: Operations - OtherWork Type: HybridJob Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City Department OverviewThe Wildfire Risk Organization is responsible for assisting the company to act decisively and transparently to prevent fires of consequence from being caused by our equipment. The organization will develop objectives to 1) prevent fires of consequence originating from our equipment; 2) meet all commitments outlined in our Wildfire Mitigation Plan; 3) continue to foster trusted relationships with key stakeholders; and 4) develop consistent processes and work standards through the implementation of the Lean Operating System for sustainable operations. Position SummaryDesigns, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stakeholders. Collects metadata about jobs including data lineage and transformation logic. Works with teams, clients, data owners and leadership throughout the development cycle practicing continuous improvement.<ul><li>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.</li></ul> 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, 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, the decision will be made on a case-by-case basis related to these factors. Bay Minimum: $132,000 Bay Maximum: $226,000 &/OR CA Minimum: $125,000 CA Maximum: $215,000 This job is also eligible to participate in PG&Es discretionary incentive compensation programs. Job Responsibilities <ul><li>Leads a team on moderately complex to complex data and analytics-centric problems having broad impact that require in-depth analysis and judgment to obtain results or solutions. </li><li>May contribute to the resolution of uniquely complex data and analytics-centric problems having significant impact</li><li>Identifies, designs and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. </li><li>Resolves application programming analysis problems of broad scope within procedural guidelines. </li><li>Provides assistance to other programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas. </li><li>Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed with verified data quality and metadata is appropriately captured and catalogued. </li><li>Collaborates with peers to develop departmental standards, norms, and new goals/objectives. </li><li>Plans work to meet assigned general objectives; reviews progress regularly and solutions may provide an opportunity for creative/non-standard approaches. </li><li>Assesses data pipeline performance and suggests/implements changes as required.</li><li>Communicates (oral and written) recommendations.</li><li>Mentors/provides guidance to less experienced colleagues. </li><li> </li></ul> QualificationsMinimum: <ul><li>BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience.</li><li>7 years of experience with data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE. </li><li>Experience with multiple data engineering/ETL ecosystems.</li><li>Experience with machine learning algorithm deployment. </li></ul> Desired: <ul><li>Masters Degree in Computer Science or job-related discipline or equivalent experience</li><li>Leadership experience, development teams</li></ul>#featuredjob

Requisition ID # 159093 Job Category: Information Technology Job Level: Individual ContributorBusiness Unit: Operations - OtherWork Type: HybridJob Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City Department Overview The Wildfire Risk Organization is responsible for assisting the company to act decisively and transparently to prevent fires of consequence from being caused by our equipment. The organization will develop objectives to 1) prevent fires of consequence originating from our equipment; 2) meet all commitments outlined in our Wildfire Mitigation Plan; 3) continue to foster trusted relationships with key stakeholders; and 4) develop consistent processes and work standards through the implementation of the Lean Operating System for sustainable operations. Position SummaryDesigns, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stakeholders. Collects metadata about jobs including data lineage and transformation logic. Works with teams, clients, data owners and leadership throughout the development cycle practicing continuous improvement.<ul><li>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.</li></ul> 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, 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, the decision will be made on a case-by-case basis related to these factors. Bay Minimum: $118,000 Bay Maximum: $188,000 &/OR CA Minimum: $112,000 CA Maximum: $179,000 This job is also eligible to participate in PG&Es discretionary incentive compensation programs. Job Responsibilities <ul><li>Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed. </li><li>Partners with various departments to understand and incorporate standards information and requirements into work procedures. </li><li>Deploys machine learning algorithms in production environments. </li><li>Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas. </li><li>Works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions</li><li>Plans work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches.</li><li>Communicates (oral and written) recommendations.</li><li>Mentors/provides guidance to less experienced colleagues. </li></ul> QualificationsMinimum: <ul><li>BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience.</li><li>5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.</li></ul> Desired: <ul><li>Experience with machine learning algorithm deployment</li><li>Business Intelligence and data access tool knowledge. </li><li>Knowledge of software engineering principals such as unit testing, CI/CD, source control.</li></ul>#featuredjob

Requisition ID # 159115 Job Category: Information Technology Job Level: Individual ContributorBusiness Unit: Information TechnologyWork Type: HybridJob Location: Oakland Department OverviewInformation Systems Technology Services is a unified organization comprised of various departments which collaborate effectively in order to deliver high quality technology solutions. Position Summary The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, analytic products, which includes data applications, reports, and dashboards. We are looking for a proactive, detail-oriented, and motivated individual who can thrive in a fast-paced environment and help us scale our analytic product development to meet our clients' ever-evolving needs. The data engineer will collaborate with our cross functional team including solution architects, data pipeline engineers, data analysts, and data scientists on mission critical initiatives and will ensure optimal delivery of analytic products. You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nations most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&Es sustainability goals. This position is hybrid, working from your remote office and the Oakland General Office(OGO) once a month and for critical in person meetings as needed. 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, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors.? This job is also eligible to participate in PG&Es discretionary incentive compensation programs. A reasonable salary range is:? Bay Area Minimum: $118,000Bay Area Maximum: $188,000 Responsibilities<ul><li>Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front end applications.</li><li>Implement data transformations to derive new datasets or create ontology objects necessary for business applications.</li><li>Monitor and debug critical issues such as data staleness or data quality</li><li>Improve on performance of data pipelines (latency, resource usage)</li><li>Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate)</li><li>Implement data visualizations using Foundry Tools (Quiver and Contour).</li><li>Maintain applications as usage grows and requirements change.</li><li>Available for 7x24 operational support.</li></ul> Minimum Qualifications<ul><li>Bachelor's Degree in Computer Science, Engineering, or a related field.</li><li>5 years of experience as a data engineer or in a similar role</li><li>Hands-on experience with building data pipelines from ingestion to final object delivery.</li><li>Experience with developing analytic applications, reports, or dashboards</li><li>Experience in using no- and low-code tools for developing analytic applications</li><li>Strong SQL skills and experience working with large datasets and complex data structures.</li><li>Complete proficiency in Python and or Pyspark</li><li>Experience in Typescript (preferred) or Javascript</li><li>Excellent problem-solving and analytical skills with a strong attention to detail.</li><li>Experience with Palantir Foundry platform.</li></ul> Desired Qualifications<ul><li>Knowledge with commercial visualization tools such as Tableau or Power BI.</li><li>Databases familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce etc.</li><li>Git knowledge of version control / collaboration workflows and best practices</li><li>Agile familiarity with agile and iterative working methodology and rapid user feedback gathering concepts</li><li>UX design knowledge of best practices and applications</li><li>Data literacy data analysis and statistical basics to ensure correctness in data aggregation and visualization.</li></ul> #featuredjob

We are seeking a Senior Data Engineer who is experienced with data pipelines and data wrangling to join a nationally recognized renewable energy provider. You will expand and optimize existing data infrastructure, working closely with IT and Data Science team members. This person ideally has previous experience as a Software Engineer and can work effectively and communicate between the two disciplines. Note: The company is unable to offer visa sponsorship. The Senior Data Engineer will:<ul><li>Create, maintain, and enhance the infrastructure for data extraction, transformation, and loading (ETL), and API integrations.</li><li>Develop robust data pipeline operations, ensuring scalability and reliability.</li><li>Automate manual tasks, fine-tune data delivery mechanisms, and optimize data storage and queries to minimize costs within GCP.</li><li>Design and implement error logging and process monitoring solutions, leveraging Google Cloud Platform technologies.</li><li>Innovate internal processes by adopting top-tier DevOps practices.</li><li>Refine version control infrastructure, implement GitHub Actions for automated processes, and establish CI/CD pipelines.</li><li>Transition our bash processes to a containerized framework using Google Cloud Platform's CloudRun service.</li><li>Proactively address challenges, supporting the team with process testing, bug fixes, and code reviews.</li><li>Enhance our API using best practices in data architecture, engineering efficiency, and data security.</li><li>Collaborate with the Analytics team to implement machine learning infrastructure.</li><li>Maintain open-source software supporting clean and renewable energy initiatives.</li><li>Strengthen IAM (Identity and Access Management) policies and collaborate on network security measures.</li><li>Conduct regular security audits and risk assessments.</li><li>Monitor security logs and alerts, responding to suspicious activities.</li><li>Ad hoc projects and duties, as needed.</li></ul> Here's what you'll need to succeed:<ul><li>A bachelor’s degree in computer science or another engineering / data-intensive discipline (MS preferred).</li><li>At least 5 years of relevant professional experience, including building, maintaining, and optimizing ‘big data’ pipelines</li><li>Strong experience with Bash Scripting, Python, Linux operating systems, and relational databases, ideally GCP BigQuery</li><li>Demonstrated success maintaining and/or developing data or software engineering infrastructure for data analysis and sharing, and machine learning </li><li>Front end (TypeScript, Vue3, Vuetify3, Google Maps / DeckGL) and backend (Golang) software development</li><li>Google Cloud Services, such as GCP, or other cloud platform experience.</li><li>Solid understanding and experience with CRMs and the backend infrastructure, preferrably Salesforce, Salesforce Bulk Python API.</li><li>Extensive experience with batch-processing systems, data pipeline and workflow management tools (e.g. Luigi, Airflow), containerized applications and container based orchestration environments (e.g., Docker, Kubernetes), and infrastructure as code, such as Terraform.</li><li>Experienced with version control tools, such as Github</li></ul>

Title - Data Engineer Location - Need locals only - Oakland, Rancho Cordova or Alpharetta. Role will be remote but may need to come onsite a few times a month. Pre-Screen Questions: Need detailed answers not just yes or no. 1. Explain where Candidate obtained Data Engineer Experience? 2. Do can have the following experiences? TL tool, SAP BusinessObjects Data Services 3. Is a family member or spouse a current of former Delta Dental employee? 4. Did you explain to your applicant that this is a full-time job with a high-performance output? Explain that the quality and quantity of their work may be benchmarked against peers doing similar work. QUALIFICATIONS: REQUIRED FROM HEALTH CARE DOMIN Minimum Education and Experience 10-12+ years of strong genuine experience with all the primary skills as mentioned w/Bachelors degree Additional Experience and Education: •Bachelor's degree in computer science, Mathematics, Statistics, or other related technical field. •Experience in ETL tool, SAP BusinessObjects Data Services preferred •Experience in Python or Java development. Experience in SQL (No-SQL experience is a plus). •Experience in data virtualization, Tibco Data Virtualization preferred. •Experience in Cloud platforms. Snowflake is preferred. Knowledge, Skills, and Abilities: •Knowledge of best practices and IT operations in an always-up, always-available service •Experience with or knowledge of Agile Software Development methodologies •Excellent problem solving and troubleshooting skills •Process oriented with great documentation skills •Excellent oral and written communication skills with a keen sense of customer service Professional Competencies: DEALS EFFECTIVELY WITH CHANGE CREATES ACCOUNTABILITY FOCUSES ON THE CUSTOMER DRIVES FOR OPERATIONAL EXCELLENCE DRIVES TO RESULTS FOSTERS DEVELOPMENT

Data Engineer Jobs in Oakland, CA

Data Engineer Senior
July 25, 2024

Senior Data Engineer
July 25, 2024

Data Engineer Senior
July 24, 2024

Data Engineer Expert
July 23, 2024

Data Engineer Senior
July 23, 2024

Data Engineer Senior
July 18, 2024

Senior Data Engineer
July 16, 2024

Data Engineer
July 6, 2024

Data Engineer
July 1, 2024

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Data Engineer Jobs in Oakland, CA

Data Engineer SeniorJuly 25, 2024

Senior Data EngineerJuly 25, 2024

Data Engineer SeniorJuly 24, 2024

Data Engineer ExpertJuly 23, 2024

Data Engineer SeniorJuly 23, 2024

Data Engineer SeniorJuly 18, 2024

Senior Data EngineerJuly 16, 2024

Data EngineerJuly 6, 2024

Data EngineerJuly 1, 2024