This one is closed
Live roles like this one
-
C
9h ago
Toptal LATAM, Canada, USA
-
B
6h ago
Staff Software Engineer, Enterprise Data Warehouse
HOME DEPOT U.S.A., INC. United States $120k - $190k/yr
-
B
8h ago
Software Engineering, Senior Advisor
Peraton United States $135k - $216k/yr
-
B
1d ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One United States $209k - $239k/yr
See every "Data Engineer Finance" role →
Get new “Data Engineer Finance” roles by email
One email a day with what is new in "Data Engineer Finance". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 48/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
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
Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.
Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.
The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.
About the Job
- You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
- You are expected to mentor other team members and be a champion of engineering excellence across the organization.
- You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
- You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
- You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
About You
Minimum Qualifications
- 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
- Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
- Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
- Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
- Expert with SQL and dbt (Data Build Tool).
- Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
- Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
- Experience working with a large codebase on a cross functional team.
Preferred Qualifications
- Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
- Experience with Snowflake, dbt (Data Build Tool) and Airflow.
- Experience with SOX controlled data systems.
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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 31 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.