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
The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, APIs, and data pipelines powering Instacart's Paid Marketing channels—one of our most substantial growth levers. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation.We're seeking a Software Engineer for the Paid MarTech pod to develop backend services and ETL processes enabling marketing campaign execution, conversion tracking, and third-party integrations across Paid Social, Display, SEM, Online Video, Linear Television, and Streaming Audio. You'll partner with Marketing, Operations Sales, and Engineering teams to translate business requirements into scalable technical solutions that drive measurable growth.
About the Job
Build and maintain backend services, APIs, and data pipelines using Python, supporting marketing campaign execution, conversion tracking, and third-party integrations across multiple ad platforms.
Develop and optimize ETL processes that integrate diverse data sources (Google Analytics, Snowflake, third-party ad platforms), ensuring accurate and timely data flow for marketing decision-making.
Implement features end-to-end with minimal oversight, writing clean, reusable, well-documented code that follows secure coding practices and team standards.
Leverage Airflow for workflow automation and DBT for data transformation, enhancing system observability through logging and metrics.
Collaborate with marketing teams to translate business requirements into technical solutions, working closely with stakeholders across third-party channel providers to streamline ad conversions and debug issues.
About You
Minimum Qualifications
3–5 years of software engineering experience with strong proficiency in Python for building backend services, APIs, and data pipelines.
Demonstrated experience with data integration technologies including Snowflake, SQL, and ETL processes across multiple data sources.
Familiarity with workflow orchestration tools (Airflow) and data transformation frameworks (DBT).
Experience working with third-party APIs and integrations, particularly in marketing or ad tech contexts.
Strong organizational skills with ability to deliver complete features independently and manage multiple priorities effectively.
Effective communicator who can collaborate across marketing, product, and engineering teams to understand requirements and deliver solutions.
Preferred Qualifications
Experience with Google Analytics, Google Tag Manager, or other marketing analytics platforms.
Familiarity with ad platform APIs (Google Ads, Facebook Ads, Snapchat Ads) and conversion tracking mechanisms.
Understanding of digital marketing concepts and performance marketing KPIs (ROAS, LTV, CAC, CPA).
Experience with cloud platforms (AWS, GCP) and containerization technologies.
Previous experience in a marketing technology or ad tech organization.
Knowledge of data privacy regulations and secure handling of user data in marketing contexts.
#LI-RemoteInstacart 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$171,000—$181,000 USDWA$164,000—$173,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$157,000—$165,000 USDAll other states$142,000—$150,000 USD