The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organizations data assets. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience -Thorough knowledge and experience with Python, ETL, and SQL -Ability to work as part of a team, as well as work independently or with minimal direction. -Excellent written, presentation, and verbal communication skills. -Collaborate with data architects, modelers and IT team members on project goals. -Strong PC skills including knowledge of Microsoft SharePoint. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Only Local Candidate required • MUST BE FULLY KNOWLEDGABLE IN PYTHON, SQL, AND ETL• Ability to work as part of a team, as well as work independently or with minimal direction.• Excellent written, presentation, and verbal communication skills.• Collaborate with data architects, modelers and IT team members on project goals. Summary:The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets. Job Responsibilities:• Manage data engineering projects through the full cycle.• Identify and underline business initiatives from a data engineering perspective• Design, construct, install, test and maintain highly scalable data management systems.• Ensure systems meet business requirements and industry practices.• Design, implement, automate and maintain large scale enterprise data ETL processes.• Build high-performance algorithms, prototypes, predictive models and proof of concepts. Skills:• Ability to work as part of a team, as well as work independently or with minimal direction.• Excellent written, presentation, and verbal communication skills.• Collaborate with data architects, modelers and IT team members on project goals.• Strong PC skills including knowledge of Microsoft SharePoint

GRAIL is focused on improving lives by developing pioneering technologies to detect cancer early. As a member of our team, you will help manage the end-to-end data lifecycle, ensuring data integrity, reliability, and compliance in a regulated environment. You will work closely with cross-functional teams including lab scientists, data scientists, biostatisticians, medical directors, and software engineers to create critical datasets and data solutions that drive our product pipeline. We are seeking a Staff Data Engineer to develop, optimize, and manage GRAIL's data lifecycle from sample ingestion to analysis, ensuring compliance with regulatory and clinical standards. You will partner with cross-functional teams to ensure that data solutions are high-quality, scalable, and aligned with our regulatory requirements, including FDA and other global health authorities. This is a hybrid role and requires you to be onsite at least 2 days a week in Menlo Park, CA. Responsibilities: <ul><ul><li>Lead the design, development, and optimization of scalable ETL pipelines and data configurations to support the ingestion, transformation, and analysis of clinical and research datasets, ensuring alignment with regulatory and product requirements.</li><li>Collaborate with data scientists, biostatisticians, and clinical teams to understand and address the data needs of various programs, including clinical trials, research studies, and regulatory submissions.</li><li>Ensure data integrity, traceability, and quality through robust validation procedures, ensuring compliance with FDA guidelines and other regulatory requirements.</li><li>Proactively identify new technologies, methodologies, and processes to address evolving data management challenges within a regulated biotechnology environment.</li><li>Manage the generation and maintenance of metadata, data navigation tools, and documentation to support operational objectives and streamline study processes.</li><li>Support study operations by ensuring that datasets are structured to meet clinical, scientific, and regulatory milestones, including data locks, submissions, and monitoring.</li></ul></ul> Preferred Qualifications: <ul><ul><li>BS/MS in a quantitative scientific field (Computer Science, Engineering, Mathematics, Statistics, Bioinformatics, etc.) with 8+ years of experience in data engineering, ideally within a regulated environment such as biotechnology, pharmaceuticals, medical devices, or healthcare.</li><li>Strong understanding of ETL processes, data pipeline development, and database management, with proven experience delivering data solutions in support of clinical or regulatory requirements.</li><li>Expertise in SQL and Python or R</li><li>Experience working with cloud-based data platforms (AWS, Azure, Google Cloud) with a strong understanding of compliance frameworks (e.g., HIPAA, 21 CFR Part 11, GDPR).</li><li>Excellent problem-solving skills with a track record of ensuring data quality and integrity across complex datasets.</li><li>Demonstrated success working in cross-functional, collaborative teams, with the ability to translate user requirements into scalable, high-quality data solutions.</li> Highly Desired Qualifications <li>3+ years of experience working in a regulated industry (biotechnology, medical devices, healthcare) with knowledge of compliance and regulatory requirements for data management.</li><li>Proven experience in data lifecycle management for clinical trials, including understanding of regulatory submissions (e.g., FDA PMA, IDMC reports).</li><li>Familiarity with tools like Apache Airflow and DBT for data pipeline orchestration in regulated environments.</li></ul></ul> The expected, full-time, annual base pay scale for this position is $178K- $223K. Actual base pay will consider skills, experience, and location.

Data Engineer Jobs in Menlo Park, CA

Data Engineer Intern
November 15, 2024

Data Engineer Iii
November 10, 2024

Data Engineer Analytics
November 9, 2024

Staff Data Engineer 4009
November 9, 2024

Data Engineer Product Analytics
November 8, 2024

Senior Data Engineer
November 6, 2024

Staff Data Engineer 4009
November 6, 2024

Data Engineer Intern
October 31, 2024

Data Engineer Analytics
October 29, 2024

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Data Engineer Jobs in Menlo Park, CA

Data Engineer InternNovember 15, 2024

Data Engineer IiiNovember 10, 2024

Data Engineer AnalyticsNovember 9, 2024

Staff Data Engineer 4009November 9, 2024

Data Engineer Product AnalyticsNovember 8, 2024

Senior Data EngineerNovember 6, 2024

Staff Data Engineer 4009November 6, 2024

Data Engineer InternOctober 31, 2024

Data Engineer AnalyticsOctober 29, 2024