Senior Level Data Engineering Analyst Jobs
Senior level data engineering analyst jobs put experienced engineers in charge of architecture decisions, pipeline ownership, and the cross-functional teams that deliver data at scale. Hiring concentrates in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with a 41% remote or hybrid share, and employers like Capital One, Oracle, and JPMorganChase hiring at this level now.
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About Upstart
At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.
If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.
The Team:
Upstart’s Personal Loans Underwriting and Credit Analytics team is responsible for building, improving, and monitoring Upstart’s core underwriting model. This model powers our decisions on which loans to approve and at what rates, and as such, it is central to the company’s success.
As a Staff Data Scientist at Upstart, you will own the monitoring and reporting of model and credit performance for Personal Loans. This role provides regular visibility to senior leadership and plays a key role in shaping data-driven decisions at the highest levels of the organization.
In addition to owning recurring reporting and performance tracking, this role requires strong analytical curiosity and investigative rigor. You will proactively monitor portfolio and model performance, identify emerging trends, diagnose unexpected outcomes, and ultimately recommend actionable treatments. This role is well-suited for someone who enjoys going beyond standard reporting to conduct deep analytical investigations and drive meaningful business impact.
How you’ll make an impact
- Own credit and performance monitoring for the Personal Loans product
- Identify performance trends and go deeper to understand root causes and recommend targeted treatments
- Perform rigorous statistical analyses to evaluate past experiments and natural experiments
- Build and maintain workflows that automate and scale standard reporting
Minimum Qualifications
- Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related field)
- Experience with Python and SQL
- Strong analytical and first-principles thinking, with the ability to tackle complex and ambiguous problems
- Strong communication, presentation, and collaboration skills; especially with the ability to clearly articulate complex analytical concepts to diverse audiences
- 6+ years of experience in analytics, data science, or a related quantitative field.
Preferred Qualifications
- PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related)
- Serving as an expert in the areas of experimental testing, Causal Inference, A/B testing or Hypothesis testing
- Experience and familiarity with finance, especially as it related to lending
Position location This role is available in the following locations: Remote
Time zone requirements The team operates on time zones ranging from EST to PST.
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
United States | Remote - Anticipated Base Salary Range
$166,900—$230,900 USD
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
Canada | Remote - Anticipated Base Salary Range
$153,000—$190,000 USD
What you'll love
At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
- Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
- Health Savings Account contributions from Upstart for eligible plans (US only)
- Income protection benefits, including life insurance and disability coverage for added financial security
- Paid time off, sick leave, and company holidays, in line with local requirements
- Paid family and parental leave to support caregiving and major life moments (duration varies by country)
- Family-centered benefits to support fertility, parenthood, and caregiving needs
- Employee Assistance Program (EAP) offering mental health support and life-centered resources
- Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
- Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
- Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
- Connection and community through team events, all-company updates, and employee resource groups (ERGs)
- Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City
For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
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Find JobsSenior Level Data Engineering Analyst Job Market
Who's Hiring
- Capital One24

- Oracle14

- JPMorganChase14

- Meta13

- Amazon13

Top Industries Hiring
- Technology & Software319
- Consulting & Professional Services86
- Banking & Financial Services58
- Construction & Real Estate37
- Investment & Asset Management36
Senior Level Data Engineering Analyst Jobs: Frequently Asked Questions
How do I get a senior level data engineering analyst job?
Employers at this level look for candidates who have owned end-to-end data pipelines, made architectural trade-offs, and mentored junior engineers through real production challenges. A strong portfolio of complex, high-impact projects matters more than credentials alone. Demonstrating that you can lead technical direction, communicate clearly with stakeholders, and improve engineering standards across a team gives you a clear edge.
Which companies hire senior level data engineering analysts?
Companies hiring senior level data engineering analysts right now include Capital One, Oracle, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large enterprises with mature data platforms and high-growth technology companies scaling their analytics infrastructure.
Are there remote senior level data engineering analyst jobs?
Yes, remote and hybrid work is common at this level. About 41% of senior level data engineering analyst openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced engineers who can work independently and lead distributed teams. On-site roles do exist, particularly at companies with sensitive data infrastructure or collaborative engineering cultures.
What makes a data engineering analyst role senior level?
Senior level roles are defined by ownership and scope, not just technical skill. You are expected to design and own complex data systems, set engineering standards, resolve ambiguous problems without close supervision, and actively develop the capabilities of less experienced colleagues. Senior contributors typically drive decisions that affect multiple teams and are accountable for the reliability and performance of core data infrastructure.
Which industries hire the most senior level data engineering analysts?
Senior level data engineering analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they operate at the intersection of large data volumes, real-time analytics requirements, and regulatory complexity, all of which call for experienced engineers who can build and govern production-grade systems.