채용
Benefits & Perks
•Equity
•Remote Work
•Flexible Hours
•Equity
•Remote Work
•Flexible Hours
Required Skills
SQL
Python
Data engineering
Tax technology
ETL/ELT
Cloud data warehouse
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
Instacart’s Tax Team partners across the business to make grocery more accessible while navigating complex global tax rules at scale. Our Tax Technology group builds the data, systems, and tools that keep Instacart compliant, efficient, and insight-driven across a rapidly evolving marketplace.
We’re hiring a Senior Tax Technology Analyst to lead high-impact initiatives at the intersection of tax, data, and AI—most notably accelerating our Tax Attribute strategy across a large and ever-changing catalog and exploring ML-assisted solutions with our Machine Learning and Catalog partners. You’ll join a small, dynamic, and highly collaborative team where you’ll own outcomes end to end, work closely with Indirect and Direct Tax, Catalog, ML, Product, and Engineering, and see your work drive measurable business results quickly. This role is remote-friendly across the U.S. and Canada and sits within a Tax Team of 18 teammates, including a 5-person Tax Technology group.
About the Job
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Own and advance our Tax Attribute program—designing data models, governance, and workflows that scale accurate product taxability across millions of items and 100+ jurisdictions, in partnership with Catalog, Indirect Tax, and ML teams.
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Build, integrate, and optimize tax determination, calculation, and reporting solutions (e.g., with enterprise tax engines and internal services), ensuring accuracy, reliability, and performance within transactional systems.
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Develop AI/ML-assisted classification and automation for tax use cases (e.g., product/merchant mapping, attribute extraction), including evaluation frameworks, human-in-the-loop quality controls, and measurable precision/recall targets.
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Design and operate robust, SOX-compliant data pipelines and tooling (SQL, Python, cloud data warehouse, orchestration) with monitoring, alerting, and documentation that enable audit-ready transparency.
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Lead cross-functional projects from discovery to delivery—translate tax requirements into technical solutions, manage roadmaps and priorities, and communicate progress, risks, and results to stakeholders at every level.
About You
Minimum Qualifications:
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Bachelor’s degree in Information Systems, Computer Science, Engineering, Accounting Information Systems, or related field; or 8+ years of relevant experience in lieu of a degree.
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5+ years of experience in tax technology, data engineering, or analytics supporting tax functions within e-commerce, fintech, retail, or similar high-volume transaction environments.
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3+ years configuring and integrating enterprise tax engines (e.g., Avalara, Vertex, Sovos) via APIs within transactional systems and services.
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Advanced SQL (3+ years) and Python (2+ years) for data processing, automation, and building production-grade workflows.
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2+ years building and operating ETL/ELT pipelines in a cloud data warehouse (e.g., Snowflake, Big Query, or Redshift) with orchestration tools (e.g., Airflow or dbt), including experience implementing SOX-compliant controls and supporting audits.
Preferred Qualifications:
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Experience designing and governing product taxability attribute models and mappings at catalog scale, including data quality frameworks and stewardship.
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Hands-on experience applying ML or LLMs to tax use cases (e.g., text classification, attribute extraction), including prompt design, evaluation metrics, and human-in-the-loop review.
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Familiarity with marketplace facilitator rules, multi-jurisdiction (US and Canada) indirect tax, and systems such as Net Suite, Stripe/other payment platforms, and internal order/fulfillment services.
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Proficiency with RESTful APIs, event streaming (e.g., Kafka), and observability tooling (e.g., Datadog) for resilient, monitored data and service operations.
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Relevant certifications (e.g., CPA, CMI, Avalara or Vertex certifications) or analytics credentials.
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ**$117,000—$123,500 USDWA$113,000—$119,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$107,000—$113,000 USDAll other states$97,000—$102,500 USD**
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About Instacart

Instacart
PublicGroceries delivered in as fast as 1 hour.
1,001-5,000
Employees
San Francisco that operates a grocery delivery
Headquarters
$39B
Valuation
Reviews
4.3
14 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
2.5
Career
3.0
Management
2.3
65%
Recommend to a Friend
Pros
High compensation packages and competitive offers
Fully remote work flexibility
Good work-life balance
Cons
Executive departures and leadership instability
Major layoffs (7% of company)
Declining valuation (down 80% from peak)
Salary Ranges
2,113 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Data Scientist L4
0 reports
$248,100
total / year
Base
-
Stock
-
Bonus
-
$210,885
$285,315
Interview Experience
5 interviews
Difficulty
3.6
/ 5
Duration
21-35 weeks
Offer Rate
60%
Experience
Positive 40%
Neutral 60%
Negative 0%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical/Coding Interview
4
System Design Interview
5
Behavioral Interview
6
Onsite/Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
News & Buzz
If you live in NYC, Instacart is about to cost you a lot more money starting this week - SILive.com
Source: SILive.com
News
·
4w ago
NYC Says Instacart Can't Pause Wage Laws Under Appeal - Law360
Source: Law360
News
·
5w ago
Instacart to Help Costco Take Grocery Orders in Europe in International Push - Bloomberg
Source: Bloomberg
News
·
5w ago
Instacart stock rises as company expands Costco partnership to Europe - Investing.com
Source: Investing.com
News
·
5w ago