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Hadrian

<div>
 
 Hadrian - Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 We&rsquo;re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
 
 
 
 The Role
 
 
 
 As a Data Analyst, you will own the analytical foundation that the entire company runs on. Reporting to the Sr. Director of Data &amp; IT, you will define what "certified data" means at Hadrian, build the forecasting models that drive planning decisions, and set the standards that let analytics scale across 20+ autonomous factories. This role sits at the intersection of every business function&mdash;Finance, Manufacturing Ops, Production Planning, Quality Engineering, and Sales&mdash;connecting financial models to factory floor reality.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Architect and maintain the certified dataset layer in dbt&mdash;models, tests, documentation, and SLAs that the entire company trusts
 </li>
 <li>
 Build forecasting models for demand planning, capacity utilization, delivery risk, and financial projections
 </li>
 <li>
 Define metric standards: canonical definitions, calculation logic, ownership, and refresh cadence
 </li>
 <li>
 Perform cross-functional deep dives connecting financial and operational data (e.g., margin erosion vs. throughput changes)
 </li>
 <li>
 Build scalable reporting frameworks that work at 1 factory and 20
 </li>
 <li>
 Develop anomaly detection for manufacturing KPIs&mdash;surface problems before ops does
 </li>
 <li>
 Present findings to executives, ops leaders, and finance with appropriate precision
 </li>
 <li>
 Mentor BizOps analysts and junior team members on SQL, statistics, and communication
 </li>
 <li>
 Partner with Data Engineering on pipeline architecture, data contracts, and quality SLAs
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Expert SQL including complex window functions, recursive CTEs, query plan analysis, and cost-based optimization
 </li>
 <li>
 Deep dbt knowledge including advanced macros, custom tests, package development, and CI/CD integration
 </li>
 <li>
 Experience with Snowflake and/or ClickHouse at scale
 </li>
 <li>
 Python proficiency (pandas, numpy, scipy, statsmodels)
 </li>
 <li>
 Statistical rigor: hypothesis testing, regression, time series, and experimental design
 </li>
 <li>
 Ability to build, validate, and communicate forecast models with proper uncertainty quantification
 </li>
 <li>
 Strong cross-functional communication&mdash;can translate between data and business with any audience
 </li>
 <li>
 Bachelor's or Master's in Statistics, Mathematics, Operations Research, Economics, or equivalent
 </li>
 <li>
 P3: 2&ndash;4 years | P4: 4&ndash;7 years | P5: 7+ years in analytics, data science, or quantitative roles
 
 
 </li>
 </ul>
 
 What Will Set You Apart
 
 
 
 <ul>
 <li>
 Experience building metric layers (Transform, MetricFlow, or custom)
 </li>
 <li>
 ClickHouse optimization (materialized views, projections, TTL)
 </li>
 <li>
 Bayesian methods or causal inference experience
 </li>
 <li>
 Manufacturing-specific knowledge: SPC, control charts, process capability
 </li>
 <li>
 Orchestration experience (Dagster, Airflow)
 </li>
 <li>
 Background in OR, industrial engineering, logistics, supply chain, or quantitative finance
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $140,000-$175,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
 
 
 
 Benefits For Full-time Employees
 
 
 
 <ul>
 <li>
 Medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation support may be provided for certain situations, based on business need.
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
</div>

Data Analyst (Central Analytics)

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 The Production Finance Operations &amp; Innovation (O&amp;I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&amp;I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management.
 
 
 The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly.
 
 
 
 Responsibilities
 
 
 
 Data Extraction &amp; Transformation: Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB. Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
 
 
 Cross-Functional Collaboration: Work closely with stakeholders, including Production Finance, Public Relations &amp; Government Relations, Finance &amp; Strategy, Data Science &amp; Engineering, and Studio Tech Solutions. Act as a proactive thought partner, translating complex business needs into actionable data solutions.
 
 
 Ad Hoc &amp; Strategic Analysis: Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization). Provide actionable insights and clear reporting to support decision-making.
 
 
 Technical Development &amp; Workflow Improvement: Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes. Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
 
 
 Data Visualization &amp; Reporting: Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms. Present insights in a clear, accessible manner to both technical and non-technical stakeholders.
 
 
 System &amp; Tool Experimentation: Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
 
 
 Production Finance Team Support: Guide Production Finance executives on data access, analysis, and reporting. Respond to requests for data pulls, insights, and custom analyses as needed.
 
 
 Data Quality &amp; Issue Resolution: Monitor data integrity and troubleshoot urgent issues affecting data coverage or quality, ensuring the highest standards of accuracy and completeness.
 
 
 Documentation &amp; Knowledge Sharing: Maintain clear documentation of data processes, workflows, and system configurations. Share best practices and learnings with the broader team to foster continuous improvement.
 
 
 
 Qualifications
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
 </li>
 <li>
 5+ years of experience in data science, analytics engineering, or a similar data field.
 </li>
 <li>
 Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred
 </li>
 <li>
 Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Advanced SQL proficiency and database infrastructure knowledge required
 </li>
 <li>
 Advanced G Sheets proficiency required
 </li>
 <li>
 Experience with Python/R or other statistical programming languages is required
 </li>
 <li>
 Excellent data analysis and visualization skills
 </li>
 <li>
 Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
 </li>
 <li>
 Working knowledge of database concepts and data pipelines
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Strong interpersonal skills, with the ability to build relationships with key stakeholders
 </li>
 <li>
 Ability to communicate effectively with global teams
 </li>
 <li>
 Ability to show flexibility in re-prioritizing as situations arise throughout the day
 </li>
 <li>
 Detail-oriented but also interested in understanding the bigger picture
 
 
 </li>
 </ul>
 
 Other Attributes
 
 
 
 <ul>
 <li>
 Must thrive in a fast-paced and collaborative team environment
 </li>
 <li>
 Flexible and open to different perspectives
 </li>
 <li>
 Curious, with a focus on generating results
 </li>
 <li>
 Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
 </li>
 <li>
 Exhibit the highest personal and professional standards of integrity and ethics.
 </li>
 <li>
 Passion for innovation
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $230,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Data Analyst, Production Finance Operations & Innovation

Los Angeles Community College District

Recruitment #26-1129-001 Date Opened 6/15/2026 08:00:00 AM Filing Deadline 7/10/2026 4:00:00 PM Location Los Angeles Community College District Office Salary $8,703.79 - $10,782.47/mo; $104,445.48 - $129,389.64/yr (based on a full-time, 12-mo position) Job Type Open &amp; Promotional (Dual) Definition Identifies, defines, analyzes, and resolves transactional and business process issues; develops requirements and specifications for accounting system/module development and modification; and serves as a resource to accounting and business office staffs by providing technical assistance, training, and coaching on the use of PeopleSoft and SAP accounting systems. Typical Duties Routinely audits transactional data, reports, accounting system functionalities, and inter-system integration to ensure effective operational outcomes; identifies opportunities for improving business processes and insuring compliance with all applicable laws, regulations, and policies, including GAAP. Consults with accounting system users to identify and define operational needs and objectives, current operational procedures, problems, input and output requirements, and levels of systems access. Analyzes the feasibility of and develops requirements/specifications for new systems/modules and enhancements to existing systems in areas such as general accounting, accounts receivable/payable, specially funded, student accounts, enterprise accounting and ensures that the system design fits the needs of the users. Documents business processes and system changes; develops and distributes communications to colleges, student, and other stake holders regarding policy, process, and procedural changes. Acts as liaison between process owners and IT systems and programming staff engaged in analyzing, designing, coding, implementing, maintaining, and modifying technology components of accounting information technology systems and applications. Performs testing for system projects from development to production and recommends changes in configurations to resolve errors and address user needs. Recruits, trains, and guides user-testers from various business areas to complete quality testing of new features and changes to existing accounting system modules. Provides technical training, mentoring, and coaching to professional and technical staff of matters related to usage of PeopleSoft and SAP systems functionality. Maintains effective and cooperative working relationships with process owners, technical team members, and users. Writes instructions, procedures, and manuals associated with the implementation and maintenance of payroll/retirement systems. Writes reports and correspondence containing descriptive, analytical, and evaluative content including specifications, findings, conclusions, and recommendations for accounting systems. Acts as a liaison with auditors engaged in regulatory, contractual, and operational audits of District accounting operations. May be assigned to project teams doing business process analysis in all functional areas under the direction of Vice Chancellor/Chief Financial Officer. May perform professional level work in the absence of assigned personnel and during peak workload periods. Performs related duties as assigned. Distinguishing Characteristics An Accounting Systems Analyst through continuous audit and user consultation identifies and defines transactional, business process, and accounting system issues; analyzes and translates departmental requirements into specifications based on an understanding of PeopleSoft and SAP accounting systems; performs testing, and maintenance tasks; and serves as a technical resource to accounting and business office staff at both the District Office and colleges. An Assistant Accounting Systems Analyst applies a thorough knowledge of accounting principles and practices and basic understanding of PeopleSoft and SAP, accounting systems to moderately complex level assignments in business process analysis and system maintenance and development. Assignments are selected to enhance the employee&rsquo;s skills and professional development in the preparation for promotion to higher-level analyst positions. Supervision General supervision is received from the Director of Accounting. Functional supervision may be received from accounting department managers. Functional supervision may be exercised over lower-level professional, technical, and clerical accounting staff both at the colleges and central accounting department. Class Qualifications Knowledge of: Business principles, practices, systems, and procedures of accounting including as general accounting, accounts receivable/payable, specially funded, student accounts, enterprise accounting Tools and approaches used in business process analysis and management Goals and objectives of the District and Division of Finance as they relate to accounting operations Federal, State, and local laws, ordinances, codes, and regulations related to accounting and financial systems and reporting of the District, including GAAP Board Rules as they related to accounting transactions of the District Characteristics and capabilities of state-of-the-art technology related to accounting and financial management administration including PeopleSoft and SAP accounting systems/modules Capabilities of computer applications, systems, and hardware used in accounting operations Principles and methods of systems developing operational process specifications and documentation Principles of work simplification and modification Principles of training and coaching Ability to: Identify operational problems, assemble and analyze facts, draw sound conclusions, and recommend solutions to accounting and financial system problems Articulate technical specifications for the development and improvement of business processes and related technology systems Interpret and applicable rules, laws, and procedures to accounting operations Document operational processes, functions, and procedures involving PeopleSoft and SAP accounting systems modules Perform testing tasks related to PeopleSoft and SAP accounting systems modules Effectively utilize computer equipment and software in the performance of duties Express concepts clearly and concisely both orally and in writing Write clear and comprehensive reports, documentation, instructions, and training materials Interpret and applicable rules, laws, and procedures to accounting and financial management operations Work effectively and independently on assigned projects Plan and execute work to meet critical schedules and deadlines Work effectively and cooperatively with a diverse pool of administrators, functional and technical team members, and users Entrance Qualifications Education and Experience: A. A bachelor&rsquo;s degree from a recognized college or university, preferable with a major in accounting, finance, business administration, public administration, or a related field AND three years of recent, full-time, paid, professional-level experience in an accounting position which included responsibility for business process analysis, design, and modification in an ERP environment such as SAP and PeopleSoft. OR B. A master&rsquo;s degree from recognized college or university with a major in accounting, business process management, or a related field AND one year of recent, full-time, paid, professional-level experience in an accounting position which included responsibility for business process analysis, design, and modification in an ERP environment such as SAP and PeopleSoft. Special: A valid Class &quot;C&quot; California driver's license may be required for some positions. Travel to locations throughout the District may be required for some positions. Benefits Medical and dental insurance and vision care plans are provided for employees and their dependents. A $50,000 life insurance policy is provided free of charge for each employee. New employees receive 12 full-pay days and 88 half-pay days of illness leave. 19 paid holidays per year. Vacation days accrue annually beginning at 10 days and increasing incrementally to 24 days depending on years of service with the District. Vacation days for management and confidential positions begin at 15, 20, or 24 days. Other paid time off includes: bereavement leave, personal necessity leave, court subpoena, and jury duty. Employees become members of the Public Employees Retirement System. Employees are also covered by Social Security. Employee Assistance Program Selection Process The examination process may consist of one or more parts which may include a training and experience evaluation, written test, performance test and/or oral interview. Reasonable Accommodations Our class specification generally describes the duties, responsibilities, and requirements characteristic of the position(s) within this job class. The duties, responsibilities, and requirements of a particular position within this class may vary from the duties of other positions within the class. In accordance with the Americans with Disabilities Act (ADA), the Los Angeles Community College District provides reasonable accommodation to qualified individuals with covered disabilities on a case-by-case basis throughout the application, examination, and hiring processes and throughout employment. If an individual is in doubt about their ability to perform the duties and responsibilities of a position or possession of any other requirement noted in a class specification or job announcement, they should always for a position and request reasonable accommodation at the appropriate time. Pay: $104,445.48 - $129,389.64 per year Work Location: In person

Accounting Systems Analyst

Musick, Peeler & Garrett LLP

<div>Musick Peeler is seeking a Legal Research and Resource Analyst in our Los Angeles office. This position is a full-time, non-exempt, and hybrid position. After 90 days on-site, this position becomes eligible to work remotely two days a week. 
The Legal Research and Resource Analyst will provide legal research and support to attorneys and legal support staff firmwide. This includes analyzing case law, statutes, regulations, and judicial decisions to produce risk assessments and research feedback for attorneys. This also includes locating information and documents from publicly available sources, internal information sources and subscription services. This position will assist with the negotiation of library material contracts and online and print subscription renewals, together with the maintenance of firm resource research accounts and tracking vendor invoices. 
Duties and Responsibilities:<ul><li>
Conduct investigative non-interpretive research, legal research regarding case law, statutes and regulations, company research, expert research, litigation history, legal forms, and verdict searches by utilizing the appropriate mix of the firm's external and internal legal, business, and news resources.</li><li>
Monitor and route complaints filed against firm clients from Courthouse News by use of dingers.</li><li>
Monitor dockets in various courts for developments requested by attorneys.</li><li>
Monitor RFPs from BidsUSA, BidSync and FindRFP.com. Work with and provide supporting documents to the Director of Administration.</li><li>
Develop and provide presentations to attorney practice groups, and other departments on research tools and current developments. Periodically travel to regional offices regarding same.</li><li>
Work with practice group leaders and Director of Administration regarding library material needs.</li><li>
Conduct training on research resources and research techniques with attorneys and paralegals firmwide.</li><li>
Provide orientation and onboarding training programs for attorneys and paralegals.</li><li>
Obtain interlibrary loans from other firms, L.A. Law Library, Los Angeles Public Library, or UCLA Libraries, as needed.</li><li>
Negotiate and maintain contracts with all major research vendors&mdash;including Thomson Reuters (Westlaw), LexisNexis, Bloomberg Law, and other subscription services&mdash;regarding online platforms and print library maintenance agreements, in collaboration with the Director of Administration.</li><li>
Be the contact person for the customer service representatives for library vendors.</li><li>
Oversee receipt of new library items, track vendor accounts and costs, handle renewal of subscriptions, and approve vendor invoices. Work together with the Director of Administration regarding same.</li><li>
Monitor various legal, industry, or subject topics to keep up to date on industry current trends and best practices. Keep up with new developments, technologies, innovations, and products in the fields of legal and business research.</li><li>
Evaluate and stay current on AI-powered research and legal technology tools; advise on their potential integration into firm workflows and train attorneys and staff on their appropriate use.</li><li>
Maintain a thorough understanding of the scope, accuracy, and cost-effectiveness of the firm's various research resources and select the most relevant tools for any given request.</li><li>
Maintain research resources and library inventory.</li><li>
Work on special projects as assigned.</li></ul> 
Knowledge, Skills and Experience:<ul><li>
Master's Degree in Library Science and/or JD degree is preferred, or 5 years' relevant experience in a law firm environment (legal research); or equivalent combination of education and experience.</li><li>
Experience with standard legal resources, such as Lexis, Westlaw, Law360, Accurint, PeopleMap, Business Credit Reports, DataTree, and other related research subscription services.</li><li>
Familiarity with AI-assisted legal research tools (experience with CoCounsel by Thomson Reuters is preferred) and demonstrated ability to assess their accuracy, limitations, and cost-effectiveness.</li><li>
Demonstrated experience with software applications and integrated library systems.</li><li>
Excellent written and verbal communication skills, with attention to accuracy and detail.</li><li>
Strong analytical and problem-solving skills.</li><li>
Keen interest in technology and innovation, including emerging AI tools and their application to legal and business research.</li><li>
Strong organization skills, adept at multi-tasking and prioritization.</li><li>
Service-oriented, team player, with initiative and proactive mindset.</li></ul> 
Benefits/Compensation:
Competitive benefits package that includes paid vacation and sick leave, paid firm holidays, paid medical/ dental/ vision, 401(k), Group Life Ins., LTD, LTC option, Flexible Spending Account, paid parking or trave allowance, and a professional working environment. Salary range for this position is $105K - $120K DOE. 
Firm Information:
Please visit www.musickpeeler.com for more detailed information about our firm. 
Musick, Peeler &amp; Garrett LLP provides equal employment opportunity to all employees and applicants without regard to race, color, creed, gender, religion, marital status, age, national origin, sex or any other applicable category protected by state and/or federal laws. In addition to federal law requirements, Musick, Peeler &amp; Garrett LLP complies with applicable state and local laws governing nondiscrimination in employment in every location in which the firm has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, retention, placement, promotion, termination, layoff, recall, transfer, leaves of absence, and compensation.</div>

Resource Research Analyst

UCLA Health

<div><div>Description
Financial Services/Payroll
Support accurate and timely payroll processing for a large healthcare workforce. As the Payroll Analyst, you will process payroll activity for assigned cost centers supporting approximately 1,500 to 2,500 personnel within a payroll department that supports over 14,000 Medical Center employees. You will review time and attendance records, process payroll and personnel transactions, resolve pay issues, reconcile leave accruals, and support compliance with UC policies, bargaining unit agreements, and departmental procedures.
In this role, you will:<ul><li>Review and process payroll and personnel transactions for assigned UCLA Health cost centers.</li><li>Perform daily UKG Time and Attendance reviews for leaves of absence, new hires, separations, active review, retro review, and timesheet activity.</li><li>Process transactions related to separations, transfers, leaves of absence, missing time, payroll corrections, and off-cycle checks.</li><li>Research and resolve payroll questions from employees, department contacts, Human Resources, Financial Services Systems, Budget, and other partners.</li><li>Review UCPath and UKG transactions for compliance with payroll policies, regulations, bargaining unit agreements, and departmental requirements.</li><li>Identify and correct payroll discrepancies, employee appointment issues, late payments, and potential non-payment concerns before payroll deadlines.</li><li>Update payroll system flags for UC and Medical Center-specific programs, including comp time elections, Pro-Opt, and other payroll programs.</li><li>Process salary expense transfers, lump sum payments, and payroll activities related to hospital and non-hospital funds as assigned.</li><li>Review, reconcile, and process leave accrual adjustments, compensatory time payoffs, holiday accruals, PTO payoffs, and separation-related accrual payments.</li><li>Support special projects and additional payroll assignments from department leadership.</li></ul>
Salary Range:
$29.17 to $56.37 hourly</div><div>
Qualifications
Required<ul><li>Bachelor&rsquo;s degree in a related area and/or equivalent experience or training.</li><li>3 or more years of related experience.</li><li>Ability to analyze and apply University of California payroll and personnel policies, bargaining unit agreements, departmental policies, and payroll procedures.</li><li>Working knowledge of payroll processes, payroll policies, time and attendance systems, and organization-specific computer applications.</li><li>Strong verbal and written communication skills to explain payroll information, document resolutions, and work effectively with customers and colleagues.</li><li>Ability to handle confidential information with sensitivity, discretion, and sound judgment.</li><li>Excellent organizational and prioritization skills to manage multiple tasks, deadlines, and payroll cycles in a fast-paced environment.</li><li>Strong math skills, including the ability to calculate ratios, decimals, and payroll-related calculations accurately.</li><li>Proficiency with Microsoft Office applications and payroll or time and attendance software.</li><li>Strong problem-solving, reasoning, and decision-making skills to resolve payroll issues accurately and appropriately.</li><li>Strong interpersonal and service-orientation skills to support positive working relationships with customers and colleagues.</li></ul>
Preferred<ul><li>Experience working with payroll in a hospital environment.</li><li>Experience supporting payroll and leave programs across multiple bargaining unit contracts is preferred.</li><li>Working knowledge of internal payroll controls.</li></ul></div></div>

Payroll Analyst II

Metropolis Technologies

<div>
 
 Who We Are
 
 
 
 The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
 
 
 
 Who You Are
 
 
 
 As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
 </li>
 <li>
 Design and own data architecture for large-scale projects while managing operational trade-offs
 </li>
 <li>
 Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
 </li>
 <li>
 Define and manage Service Level Agreements (SLAs) for all owned data sets
 </li>
 <li>
 Implement data security models, ensure privacy compliance, and evolve data governance processes
 </li>
 <li>
 Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
 </li>
 <li>
 Maintain production processes by optimizing complex code using advanced algorithmic concepts
 </li>
 <li>
 Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
 </li>
 <li>
 Mentor team members through actionable feedback to foster collective skill growth
 </li>
 <li>
 Maintain flexibility with availability during evening hours
 
 
 </li>
 </ul>
 
 What we're looking for
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
 </li>
 <li>
 master's degree is preferred
 </li>
 <li>
 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
 </li>
 <li>
 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
 </li>
 <li>
 Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
 </li>
 <li>
 Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
 </li>
 <li>
 Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
 </li>
 <li>
 Ability to deliver high standards of code quality, system reliability, and performance
 </li>
 <li>
 Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
 </li>
 <li>
 Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
 
 
 </li>
 </ul>
 
 While not required, these are a plus:
 
 
 
 <ul>
 <li>
 Experience with Spark and PySpark
 </li>
 <li>
 Master's degree in Computer Science, Computer Engineering, or a relevant technical field
 
 
 </li>
 </ul>
 
 4 Days in Office:
 
 Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
 
 
 
 When you join Metropolis, you&rsquo;ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis&rsquo;s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
 
 
 
 
 Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate&rsquo;s application relative to the required job qualifications and responsibilities listed in the job posting.
 
 
 
 
 As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
 
 
 
 
 Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
 
 
 
</div>

Senior Data Engineer

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

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