Berkeley Lab’s (LBNL) Joint Genome Institute (JGI) has an opening for a Senior Scientific Data Platform Engineer to play a critical role in transforming raw scientific outputs into high-value, AI-ready data assets that directly support JGI's mission. In this exciting role, you will analyze scientific use-cases, data management challenges, and design robust, automated, and cost-effective solutions to address them. Working at the intersection of scientific data and the data lakehouse platform, this position will contribute to the development and maintenance of JGI’s Data Lakehouse effort, leading ongoing integration efforts to ensure scientific data is well-structured, accessible, and optimized for use by domain scientists and downstream AI applications. The JGI’s mission is to provide the global research community with access to the most advanced integrative genome science capabilities in support of the DOEs research mission to solve the world’s evolving energy and environmental challenges. The JGI supports projects in genome sequencing, synthesis, transcriptomics, metabolomics, and natural products in plants, fungi, algae, and microorganisms. This position is headquartered on the Lab’s main site at the Integrative Genomics Building (IGB) (Virtual Tour). This position has an anticipated start date of May 1, 2026. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! Why join Berkeley Lab? We invest in our employees by offering a total rewards package you can count on: - Exceptional health and retirement benefits, including pension or 401K-style plans - A culture where you’ll belong - we are invested in our teams! - In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year. - Parental bonding leave (for both mothers and fathers) - Pet insurance What You Will Do: - Analyze and evaluate complex scientific use-cases and design automated system solutions. - Provide technical expertise in identifying, evaluating, and developing cost-effective systems and procedures that meet user requirements. - Lead the design and implementation of data integration processes for the JGI's Data Lakehouse, ensuring large scientific datasets are structured for efficient querying and analysis. - Design, build, and maintain fault-tolerant, scalable, and efficient Extract, Transform, Load (ETL) data pipelines to ingest, transform, and load genomic data and associated metadata into the Data Lakehouse. - Configure system settings and options. - Plan and perform unit, integration, and acceptance testing. - Create system specifications aligned with business requirements. - Provide consultation and guidance to domain scientists and other users on the use of automated systems. - Collaborate closely with cross-functional teams to resolve business and system-related issues. What Is Required: - A Bachelor’s Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field and a minimum of 8 years of demonstrated experience structuring large-scale datasets for efficient use in Data Lakehouse environments, leveraging technologies such as Parquet, Iceberg, Dremio, Spark, or similar lakehouse and data warehousing platforms or an equivalent combination of education and experience. - Demonstrated proficiency with modern Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) tools and frameworks. - Strong scripting skills in data engineering languages, including Python (with Pandas and PySpark) and advanced SQL for data manipulation and performance optimization. - Strong analytical skills including the ability to identify problems, troubleshoot, and demonstrate good judgement in selecting methods and techniques for obtaining solutions. - Excellent oral and written communication skills, including experience organizing and presenting technical information to varying audiences. - Demonstrated interpersonal skills including experience collaborating with an interdisciplinary research team. Desired Qualifications: - A Master’s Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field. - Experience with Data Lakehouse technologies like Dremio or Spark. - Domain knowledge of genomics data. Additional Information: - Application Date: Priority consideration will be given to candidates who apply with a resume and cover letter by March 31, 2026. Applications will be accepted until the job posting is removed. - Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. - Salary Range: This position has a budgeted salary range of $139,440 - $174,312 annually, which fits within the full salary range of $139,440 - $235,308 annually for job code C71.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group. - Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. - Work Modality: This position offers flexibility in work mode, including onsite, hybrid, full-time telework, or remote work, provided the individual resides within the contiguous United States. Onsite work will take place at Lawrence Berkeley National Lab, located at 1 Cyclotron Road, Berkeley, CA 94720. Work schedules are dependent on business needs. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here). - Relocation Assistance: This position is eligible for relocation assistance. - Work Authorization: Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Job ID: 285306 Location Name: FSC REMOTE SF/NY/DC -173(USA_0173) Address: FSC, Remote, CA 94105, United States (US) Job Type: Full Time Position Type: Regular Job Function: Human Resources Work Location: Remote Belong to Something Beautiful At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.  Your role at Sephora: As a SAP Integration Analyst, you will be responsible for collaborating with your business unit to improve processes and efficiency, implementing HR business solutions in Core HR, Recruiting, Talent and Performance management space and providing post-implementation support. This position offers considerable responsibility and interaction with key stakeholders from the business and Tech. You will be responsible for designing, developing, and implementing end-to-end integration flows using SAP CPI, SAP BTP, and SAP Integration Suite. Your work will ensure reliable and scalable data exchange between various SAP and non-SAP systems, including SAP SuccessFactors and SAP S/4HANA. What You'll Do: - Design, develop, and implement end-to-end integration flows using SAP CPI, SAP BTP, and SAP Integration Suite, ensuring reliable and scalable data exchange across systems. - Configure, manage, and maintain APIs, adapters, and message mappings within SAP Integration Suite to support seamless SAP and non-SAP system integrations. - Integrate SAP SuccessFactors, SAP S/4HANA, and third-party applications using CPI and BTP services, ensuring data accuracy and system interoperability - Apply and enforce enterprise security standards, including OAuth, SAML, and authentication mechanisms, to ensure secure and compliant integrations - Troubleshoot, analyze, and optimize integration performance and reliability, proactively resolving issues to minimize business impact - Collaborate closely with business and technical stakeholders to understand integration requirements and deliver scalable, high-quality integration solutions that meet business needs. - Stay current with SAP BTP innovations, best practices, and emerging integration patterns, continuously improving solution design and implementation approaches. What You'll Bring: - Advanced Integration Expertise: 5+years of Extensive hands-on experience designing and implementing complex integrations using SAP CPI, SAP Integration Suite, and SAP BTP, with strong proficiency in REST, SOAP, OData, SFTP, SFAPI, XML, JSON, and IDoc technologies. - SuccessFactors Integration Experience: Proven ability to develop and support integrations between SAP SuccessFactors Employee Central and multiple downstream and third-party systems, ensuring scalable, reliable, and business-aligned solutions. - Integration Center Proficiency: Strong experience building, maintaining, and enhancing applications using SuccessFactors Integration Center, with a focus on data accuracy and operational efficiency. - Requirements & Documentation Strength: Demonstrated expertise in gathering and interpreting business requirements and translating them into clear functional and technical specifications for new integrations, enhancements, and system changes. - Security & Identity Knowledge: Solid understanding of enterprise security and identity management concepts, including SAML, OAuth, encryption, and secure data exchange patterns. - Scripting & Technical Depth: Proficiency in Groovy and JavaScript for custom scripting within CPI-based integrations. - SAP BTP Solution Experience: Hands-on exposure to multiple SAP BTP solution areas, including Application Development, Integration, and Data services. - Problem-Solving Mindset: Strong analytical and troubleshooting skills, with the ability to identify root causes, optimize integration performance, and drive continuous improvement through automation and innovation. - Collaborative Approach: A proven track record of partnering effectively with business and technical stakeholders to deliver high-quality integration solutions that meet enterprise needs and add measurable value. What You’ll Get: The annual base salary range for this position is $113,900.00 - $151,620.00. The actual base salary offered depends on a variety of factors, which may include, as applicable, the applicant’s qualifications for the position; years of relevant experience; specific and unique skills; level of education attained; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and/or from which they will perform the job. Individuals employed in this position may also be eligible to earn bonuses. This job will be posted for a minimum of 5 days. - Caring Community. Thrive in a supportive, mentorship-driven environment from your leaders while also creating that same environment for your teams! - Fulfilling Path. We invest in you, not just your role, with opportunities to learn, innovate and lead. - Meaningful Work. Your work creates real impact. With every decision leading to thousands of shipments, you bring beauty to life for our clients. Rewards as Unique as You: Some benefits have eligibility requirements and may depend on job classification and length of employment. - Health. Thrive on and off the floor with healthcare plans that fit the needs of you and your family, including medical, dental, and vision coverage. Sephora also fully covers our employees’ disability and life insurance. - Wealth. We offer a competitive 401k with 4% match as well as FSA and HSA programs. We also offer a Student Debt Retirement plan, where your student loan payments qualify to earn the 401k match from Sephora. - Balance. Enjoy paid time off, sick paid time off, and protected leave. - Growth. We invest in you, with access to development programs, tuition reimbursement, and mentorship so that you can flourish in this fast-paced role. - Perks. Love what you do, love what you get! Enjoy 30% discount on all merchandise/services, opportunities for free product or “gratis,” and flash sale discounts on LVMH brand products. - Support. Join a team that truly cares – with free mental health and financial coaching resources with 24/7 access to Modern Health and Financial Finesse. Plus, volunteer and donation matching. Sephora values a diverse and inclusive workplace and considers all applicants without regard to sex, pregnancy, race, color, national origin, gender (including gender identity and gender expression), age, religion, sexual orientation, military/veteran status, disability, or any other protected category. Sephora is committed to providing reasonable accommodation to applicants with disabilities or other medical conditions.  Sephora will consider all qualified applicants, including those with arrest and conviction records in a manner consistent with the requirements of all applicable laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.  Join Us and Belong to Something Beautiful

Role Description We’re looking for a Data Engineer to design and build scalable, privacy-first data systems that power audience development and marketing intelligence. In this role, you’ll develop reliable data pipelines and inference systems using aggregated, historical data—ensuring all infrastructure meets strict compliance and governance standards. You’ll collaborate closely with Growth and Compliance teams to deliver high-quality, actionable insights. - Design, build, and maintain ETL/ELT data pipelines - Develop reusable inference layers for audience modeling - Create standardized, audit-ready segmentation workflows - Implement data governance practices (lineage, validation, logging) - Perform geospatial aggregation (ZIP, county, corridor-level data) - Partner with Growth and Compliance teams to support data-driven initiatives Qualifications - Strong SQL skills and experience with data modeling - Proficiency in Python - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift) - Experience implementing data governance and quality controls - Experience working with aggregated or geospatial datasets Requirements - Work exclusively with aggregated, historical datasets (45+ days old) - No use of real-time or individual-level data - Apply best practices in data privacy, governance, and auditability - Understand the distinction between inferred insights and direct knowledge - Support vendor compliance and data audit processes Benefits - Compensation is competitive and based on experience, skills, and location. - Work on impactful technology that improves access to legal services - Build privacy-first data systems in a rapidly evolving space - Collaborate with cross-functional teams in a fully remote environment - Opportunity to shape scalable data infrastructure from the ground up Company Description Liberty Legal Network is a legal technology platform that uses AI-powered matching to connect individuals with specialized law firms nationwide. Our mission is to simplify access to legal representation while improving outcomes through intelligent data, precision matching, and scalable technology.

• We are specialists in technological transformation, combining human expertise with AI to create scalable tech solutions. • With more than 8,000 CI&Ters around the world, we have partnered with over 1,000 clients throughout our 30-year history.