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associate, strategic finance - tech

data engineer finance

Cognition

<div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.
In this role you will:<ul><li>
Design and manage database architecture and data models with a focus on finance and accounting use cases</li><li>
Build and maintain ETL/ELT pipelines and orchestration workflows</li><li>
Create and manage data integrations across internal and external financial systems</li><li>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</li><li>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</li><li>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</li><li>
Ensure data quality, observability, governance, and documentation</li></ul>
Requirements for the role:<ul><li>
5+ years in a data engineering, analytics engineering, or a full-stack data role</li><li>
Expert SQL and strong Python (or R)</li><li>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</li><li>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</li><li>
Experience building or maintaining BI reporting (Metabase a plus)</li><li>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</li><li>
Experience with FP&amp;A processes, close workflows, and financial reporting</li><li>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</li><li>
Based in SF and willing to be in office 5 days a week</li></ul></div>

Data Engineer - Finance

Embedding VC

<div><h3 class="jobSectionHeader">About OpenArt</h3>
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We&rsquo;re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we&rsquo;re shaping that future.<h3 class="jobSectionHeader">
Why Join OpenArt</h3><ul><li>
Own the entire data foundation of a fast-scaling AI company &mdash; from raw data to executive metrics.</li><li>
Build from 0 1 &mdash; define the architecture that powers product, finance, and company-wide decision making.</li><li>
High visibility and impact &mdash; your work directly informs leadership, product direction, and company strategy.</li><li>
Founder-led, fast-moving culture &mdash; high ownership, low process, high trust.</li><li>
AI-native company &mdash; help define how data supports AI systems, agents, and long-term intelligence.</li><li>
7&ndash;10X revenue growth over the past 2 years &mdash; now scaling the data layer to match.</li></ul><h3 class="jobSectionHeader">
About the Role</h3>
We&rsquo;re looking for a Founding Data Engineer to build and own OpenArt&rsquo;s core data platform and source of truth, supporting product, finance, and leadership decision-making.
This is a 0 1 role focused on data reliability, modeling, and long-term scalability &mdash; not just analytics or dashboarding.
You will define how data is structured, validated, and served across the company &mdash; ensuring that key metrics are consistent, trusted, and production-grade.
You&rsquo;ll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.<h3 class="jobSectionHeader">
What You&rsquo;ll Do</h3><ul><li>
Design and build core data pipelines (e.g., product events, payments, internal systems BigQuery)</li><li>
Define and maintain the data warehouse architecture, including schema design, data modeling, and table structure</li><li>
Establish and own the single source of truth (SOT) for product and business metrics</li><li>
Build and maintain core data models (user, subscription, revenue, engagement, etc.)</li><li>
Ensure data consistency across systems (product analytics, billing, internal tools)</li><li>
Lead data reconciliation efforts (e.g., Stripe vs internal systems vs reporting)</li><li>
Implement data quality checks, validation, and monitoring systems</li><li>
Build reliable reporting layers used by leadership and finance (not ad hoc dashboards)</li><li>
Establish data standards and contracts (event naming, schema governance, tracking consistency)</li><li>
Partner with engineering to improve instrumentation and data correctness at source</li><li>
Support downstream teams (analytics, DS) by providing clean, well-documented datasets</li><li>
Continuously improve data reliability, performance, and cost efficiency</li></ul><h3 class="jobSectionHeader">
What We&rsquo;re Looking For</h3>
Core Requirements<ul><li>
5+ years of experience in data engineering or analytics engineering</li><li>
Proven experience building data platforms or warehouses from 0 1</li><li>
Strong SQL and Python &mdash; you write clean, production-quality data code</li><li>
Deep expertise in data modeling, ETL/ELT design, and warehouse architecture</li><li>
Experience with modern data stack:<ul><li>
BigQuery / Snowflake / Redshift</li><li>
dbt or similar transformation tools</li><li>
Workflow orchestration tools (Airflow / Prefect or similar)</li></ul></li><li>
Experience working with financial and product data (e.g., payments, subscriptions, usage data)</li><li>
Strong understanding of data reliability, testing, and validation</li><li>
Ability to translate business definitions into durable, consistent data models</li><li>
High ownership &mdash; you can define and drive architecture decisions independently</li><li>
Comfortable operating in ambiguous, fast-moving environments</li></ul>
Nice to Have<ul><li>
Experience building data systems for finance or revenue reporting</li><li>
Experience with data reconciliation across multiple systems</li><li>
Familiarity with BI tools (Metabase, Looker, etc.)</li><li>
Experience designing semantic layers or metric definitions</li><li>
Prior experience as an early or founding data hire</li></ul><h3 class="jobSectionHeader">
Tech Stack You&rsquo;ll Work With</h3>
BigQuery, dbt (or similar), Airbyte/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP<h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive base salary and bonus program</li><li>
Equity &mdash; meaningful ownership in what you build</li><li>
High autonomy, high growth environment</li></ul><h3 class="jobSectionHeader">
Work Setup</h3><ul><li>
Bay Area preferred (hybrid allowed)</li><li>
Visa sponsorship available</li><li>
We&rsquo;ll consider remote</li></ul></div>

Founding Data Engineer (Core Data Platform)

Capital One

<div>Distinguished Software Data Engineer
As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.
Distinguished Engineers are individual contributors who strive to be diverse in thought so we holistically visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.
We expect our Distinguished Engineers to be<ul><li>
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.</li><li>
Visionaries who challenge the status quo, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates.</li><li>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.</li><li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled</li></ul>
In this role, you will work with our Enterprise Data Platform team to drive design and architecture of Capital One&rsquo;s mission critical Data Platforms.<ul><li>
You will define and execute a bold technical strategy for a unified Data Product architecture, engineering high-scale solutions for standardized, well-governed data creation that serves as the bedrock for enterprise-wide AI readiness. By modernizing our foundational Business Data Catalog, you will transform how the organization discovers and consumes data, turning fragmented datasets into high-fidelity, machine-ready assets.</li><li>
You will act as the bridge between deep engineering and business impact, to institutionalize and drive the adoption of rigorous data standardization practices, ensuring that our data consumption layer becomes a competitive engine that enables the enterprise to innovate with speed and precision.</li><li>
You are a visionary builder who balances high-level architecture with &quot;hands-on-keyboard&quot; execution, designing resilient, multi-tenant distributed systems and event-driven patterns that redefine enterprise scale.</li><li>
As the authoritative expert in data consumption, you don't just advise&mdash;you build the proof-of-concepts and exploratory analyses that bridge the gap between abstract tech strategy and mission-critical, production-grade solutions.</li><li>
Beyond the code, you are a catalyst for growth, mentoring the next generation of world-class engineers and championing a culture of inclusive excellence and inner-sourcing.</li><li>
You command the technical depth to influence executive strategy and the hands-on credibility to lead the enterprise-wide shift toward modern, AI-ready technologies.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years of experience in data engineering</li><li>
At least 3 years of experience in data architecture</li><li>
At least 2 years of experience building applications in AWS</li></ul>
Preferred Qualifications:<ul><li>
Masters&rsquo; Degree</li><li>
9+ years of experience in data engineering</li><li>
3+ years of data modeling experience</li><li>
2+ years of experience with ontology standards for defining a domain</li><li>
2+ years of experience using Python, SQL or Scala</li><li>
1+ year of experience deploying machine learning models</li><li>
3+ years of experience implementing big data processing solutions on AWS</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 

San Jose, CA: $293,600 - $335,100 for Distinguished Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Distinguished Software Data Engineer

University of California - San Francisco

<div>This position requires regular onsite work.
 
 
The Business Systems Analyst serves as a key member of the IT Functional Team, providing analytical, technical, and operational support for Oracle Cloud and boundary systems. The incumbent partners with campus stakeholders to analyze business processes, define system requirements, and ensure that HR technology solutions effectively support institutional goals. The position supports configuration, data integrity, and ongoing maintenance across core ERP functions.
 
 
The Business Systems Analyst serves as a techno-functional expert for UCSF&rsquo;s enterprise Oracle Cloud ERP platform, as well as other administrative systems supported by IT. The role acts as a key liaison between business users, IT technical teams, and Oracle support, ensuring that system configurations, integrations, and enhancements align with UCSF&rsquo;s operational goals, compliance standards, and financial policies.
 
This position requires not only technical and functional ERP expertise but also strong institutional knowledge of UCSF business processes, operational structures, and policy frameworks. The analyst plays a critical role in designing, configuring, testing, and maintaining Oracle Cloud ERP solutions that support efficient, compliant, and scalable business operations across the university.
 
 
Acting as the primary liaison between Grants Research, Financials and Student finance business users, IT, and Oracle Support, the analyst ensures Oracle Cloud PPM,AR solutions are aligned with UCSF&rsquo;s research policies, and operational standards. Success in this role requires both technical expertise and deep institutional knowledge of UCSF&rsquo;s research, order to cash and finance processes, policies, and regulatory requirements, enabling the delivery of scalable and compliant solutions that support patient care, research, and administrative excellence.
 
Success in this role requires hands-on experience with Oracle Cloud configuration, data validation, regression testing, and issue triage, as well as proficiency in tools such as OTBI, BI Publisher, BI Cloud Connect, and PPM Extracts and Integration. Experience supporting one or more Oracle PPM and finance modules such as AR, Billing, Cash management, Student Finance. This position includes regular onsite work, typically 1-3 days per month. The exact schedule and frequency may be adjusted as needed to meet departmental and operational demands.</div>

Oracle Cloud Business Systems Analyst

SoFi

<div><div>Employee Applicant Privacy Notice

Who we are:
<div>
Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
</div></div>
The Role 
The Risk Data Science team is seeking a strategic and technically deep Machine Learning Engineer to lead the evolution of SoFi's Home Loan and Home Equity risk frameworks. This role is at the center of a high-priority initiative to deliver a comprehensive, loan-level credit risk and valuation framework for our home lending portfolios.

As a key technical leader, you will apply state-of-the-art ML methodologies to solve complex problems&mdash;including default and prepayment modeling, property valuation (AVMs), and credit risk assessment&mdash;ensuring our high-value secured loan products are backed by world-class data science.

What You'll Do
<ul>
<li>Lead the design and implementation of ML models for mortgage-specific use cases, including credit underwriting, debt-to-income (DTI) validation, and automated appraisal reviews.</li>
<li>Provide technical oversight and end-to-end ownership of externally developed models, ensuring they meet rigorous internal standards for quality, performance, and scalability.</li>
<li>Present model performance and portfolio insights to senior leadership, translating complex data into actionable credit and business strategies.</li>
<li>Collaborate with Model Risk Management (MRM) and governance teams to ensure all models are developed with the technical rigor required to satisfy complex regulatory and compliance standards.</li>
<li>Partner with Product and Engineering teams to operationalize models, overseeing deployment, real-time monitoring, and seamless integration into core business systems.</li>
<li>Continuously explore and leverage in-house, external, and open-source ML frameworks to build the next generation of proprietary mortgage risk tools.</li></ul> 


What You'll Need
<ul>
<li>Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a quantitative field required. Ph.D. preferred.</li>
<li>5+ years of direct experience with building, implementing, and deploying machine learning models within Home Loans or Home Equity lending environments.</li>
<li>Expert knowledge of statistical modeling and ML methods, including linear/logistic regression, ensemble methods (XGBoost/LightGBM), clustering, and outlier detection.</li>
<li>Strong programming skills in Python and SQL.</li>
<li>Hands-on experience with ML model implementation in production environments using tools such as AWS SageMaker, Git, Docker, and CI/CD pipelines.</li>
<li>Strong ability to distill complex technical methodologies into simple, persuasive terms for non-technical stakeholders.</li></ul> 


Nice To Have
<ul>
<li>Proven track record in technical model documentation and navigating the Model Risk Management lifecycle.</li>
<li>Experience working in a cross-functional capacity across Product, Engineering, and Risk departments.</li>
</ul><div><div>Compensation and Benefits</div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.</h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div>Internal Employees</div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Staff Data Scientist

Amerit Consulting Inc.

Overview:Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks an accomplished Accounting / Financial Analyst.*** Candidate must be authorized to work in USA without requiring sponsorship ***************************************************************************** Location: San Francisco, CA 94103*** Duration: 6-month contract w/ possibility of extension or conversion to FTE roleNotes:<ul><li>This is a Financial Analyst role with AP exposure, not a transactional AP position. The focus is on analysis, reporting, and process improvement, with strong preference for candidates who can grow into a long-term finance role.</li><li>Hybrid role: 3 days onsite, remainder remote.</li><li>Additional onsite presence may be required during training and system implementation (Oracle go-live).</li><li>Immediate start; duration approximately 6&ndash;8 months (subject to business needs).</li><li>Potential for full-time conversion based on performance.</li></ul>Description:<ul><li>We are seeking a highly analytical Accounting or Financial Analyst with experience supporting accounts payable functions within a complex, high-volume environment.</li><li>This role goes beyond transactional processing and requires strong analytical capability, financial acumen, and the ability to interpret data, identify trends, and drive process improvements.</li><li>The ideal candidate will have a solid foundation in accounting or finance, experience working with large ERP systems (preferably Oracle), and the ability to collaborate cross-functionally across finance, procurement, and operations teams.</li><li>Support accounts payable operations within a high-volume environment while focusing on analysis and process improvement.</li><li>Analyze financial and operational data to identify trends, discrepancies, and opportunities for optimization.</li><li>Perform reconciliations and support reporting activities across AP and broader finance functions.</li><li>Create and maintain operational, daily, and ad-hoc reports to support decision-making.</li><li>Research and resolve complex invoice and payment issues, including exceptions and discrepancies.</li><li>Ensure compliance with procure-to-pay policies, internal controls, and financial procedures.</li><li>Partner with internal stakeholders (finance, procurement, operations) to improve workflows and processes.</li><li>Provide insights and recommendations to enhance efficiency, accuracy, and financial performance.</li><li>Support documentation, audit readiness, and continuous improvement initiatives.</li><li>Utilize ERP systems (Oracle preferred) to extract, analyze, and validate financial data.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Accounting, Finance, or related field (required).</li><li>Strong foundation in accounting or financial analysis.</li><li>Experience supporting accounts payable functions in a high-volume environment.</li><li>Proven ability to analyze data, identify trends, and contribute to process improvements.</li><li>Experience with reconciliations, reporting, and financial analysis (beyond basic invoice processing).</li><li>Familiarity with large ERP systems (Oracle Financials Cloud / Oracle Fusion preferred).</li><li>Advanced Excel skills, including working with large datasets.</li><li>Strong critical thinking, problem-solving, and analytical skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li><li>Strong communication skills with the ability to collaborate cross-functionally.</li><li>Experience in hospital or university environments preferred.</li><li>Stable work history demonstrating reliability and long-term potential.</li></ul>What we are NOT looking for:<ul><li>Candidates whose experience is primarily transactional AP (invoice entry, 3-way match, check runs).</li><li>Titles such as Accounts Payable Specialist, AP Clerk, or AP Processor as primary background.</li><li>Profiles focused only on high-volume processing without analytical or accounting depth.</li><li>Candidates with short-term, contract-heavy work history without stability.</li><li>Junior-level candidates or those with limited accounting/finance experience.</li><li>Candidates without a bachelor&rsquo;s degree.</li><li>Profiles lacking exposure to broader financial processes (reconciliations, reporting, analysis, process improvement).</li></ul>*******************************************************************I'd love to talk to you if you think this position is right up your alley, and assure a prompt communication, whichever direction. If you're looking for rewarding employment and a company that puts its employees first, we'd like to work with you.Satwinder Sat SinghLead Technical RecruiterCompany Overview:Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local &amp; regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients businesses forward.Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.Expected hours: 40.0 per weekBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Vision insurance</li><li>Work from home</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Financial / Accounting Analysis: 2 years (Required)</li><li>Microsoft Excel: 2 years (Required)</li><li>Accounts Payable: 1 year (Required)</li><li>ERP: 1 year (Required)</li></ul>Ability to Commute:<ul><li>San Francisco, CA 94103 (Required)</li></ul>Work Location: Hybrid remote in San Francisco, CA 94103

Financial Accounting Analyst

LINDY

<div>About Lindy
Lindy is building the AI assistant for everyone else &mdash; not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.
As Lindy's Data Engineer, you'll work closely with senior leadership (Lindy's CEO, GTM leads, and Head of Engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end lifecycle of data, working closely with product and engineering to define key analytics metrics, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.
You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops &amp; Analytics in this capacity. At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.
We are an in-office company, working from our downtown San Francisco office 4 days a week. We sponsor visas and cover relocation costs up to $20,000.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Data Infrastructure:<ul><li>
Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics</li><li>
Build reliable data warehousing solutions that support both real-time and batch processing needs</li><li>
Create automated data quality monitoring and alerting systems</li></ul>
Analytics &amp; Insights:<ul><li>
Develop comprehensive dashboards and reporting systems that track key business and product metrics</li><li>
Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health</li><li>
Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them</li><li>
Partner with product and engineering teams to instrument new features with proper analytics tracking</li></ul>
Data Strategy:<ul><li>
Establish frameworks for experimentation and A/B testing across our product</li><li>
Build self-service analytics capabilities that empower non-technical teams</li></ul><h2 class="jobSectionHeader">
Must haves</h2><ul><li>
2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)</li><li>
Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)</li><li>
Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)</li><li>
Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis</li><li>
Track record of working independently and delivering high-impact projects with minimal oversight</li><li>
Excitement to work in-person 4 days a week from our downtown San Francisco office</li><li>
The technical skills of a data-oriented engineer who can build and maintain data infrastructure</li><li>
The strategic thinking of a business strategist who can identify and communicate our business' most pressing questions</li><li>
The analytical capabilities of a data analyst who can turn questions and data into insights</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with product analytics tools (PostHog, Mixpanel, Amplitude)</li><li>
Python/JavaScript proficiency for custom analysis and automation</li><li>
Background in statistics, data science, or machine learning</li><li>
Previous experience at high-growth B2B SaaS companies</li><li>
Familiarity with AI/ML product metrics and experimentation</li></ul><h2 class="jobSectionHeader">
Compensation and Benefits</h2><ul><li>
Base Salary Range $150K-$185K + equity</li><li>
Comprehensive health coverage</li><li>
$20K relocation assistance and visa sponsorship</li><li>
High autonomy and direct collaboration with leadership</li><li>
The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business</li></ul></div>

Data Engineer

Explore 253+ Data engineer finance in San Francisco this April. Find roles across top companies and apply now to boost your career.