Software Engineer II, Marketing Enablement & Technology
Instacart
Software Engineer II, Marketing Enablement & Technology
Job Description
Responsibilities
- 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.
Required 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.
Required Skills
- Python
- Snowflake
- SQL
- ETL processes
- Airflow
- DBT
- third-party APIs
- Google Analytics
- Google Tag Manager
- Google Ads
- Facebook Ads
- Snapchat Ads
- AWS
- GCP
- containerization technologies
Benefits
- Highly market-competitive compensation
- New hire equity grant as well as annual refresh grants
Locations
- United States, United States (Remote)
Salary
Estimated Salary Rangemedium confidence
135,000 - 195,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Snowflakeintermediate
- SQLintermediate
- ETL processesintermediate
- Airflowintermediate
- DBTintermediate
- third-party APIsintermediate
- Google Analyticsintermediate
- Google Tag Managerintermediate
- Google Adsintermediate
- Facebook Adsintermediate
- Snapchat Adsintermediate
- AWSintermediate
- GCPintermediate
- containerization technologiesintermediate
Required Qualifications
- 3–5 years of software engineering experience with strong proficiency in Python for building backend services, APIs, and data pipelines. (experience)
- Demonstrated experience with data integration technologies including Snowflake, SQL, and ETL processes across multiple data sources. (experience)
- Familiarity with workflow orchestration tools (Airflow) and data transformation frameworks (DBT). (experience)
- Experience working with third-party APIs and integrations, particularly in marketing or ad tech contexts. (experience)
- Strong organizational skills with ability to deliver complete features independently and manage multiple priorities effectively. (experience)
- Effective communicator who can collaborate across marketing, product, and engineering teams to understand requirements and deliver solutions. (experience)
Preferred Qualifications
- Experience with Google Analytics, Google Tag Manager, or other marketing analytics platforms. (experience)
- Familiarity with ad platform APIs (Google Ads, Facebook Ads, Snapchat Ads) and conversion tracking mechanisms. (experience)
- Understanding of digital marketing concepts and performance marketing KPIs (ROAS, LTV, CAC, CPA). (experience)
- Experience with cloud platforms (AWS, GCP) and containerization technologies. (experience)
- Previous experience in a marketing technology or ad tech organization. (experience)
- Knowledge of data privacy regulations and secure handling of user data in marketing contexts. (experience)
Responsibilities
- 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.
Benefits
- general: Highly market-competitive compensation
- general: New hire equity grant as well as annual refresh grants
Tags & Categories
Software Engineer II, Marketing Enablement & Technology
Instacart
Software Engineer II, Marketing Enablement & Technology
Job Description
Responsibilities
- 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.
Required 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.
Required Skills
- Python
- Snowflake
- SQL
- ETL processes
- Airflow
- DBT
- third-party APIs
- Google Analytics
- Google Tag Manager
- Google Ads
- Facebook Ads
- Snapchat Ads
- AWS
- GCP
- containerization technologies
Benefits
- Highly market-competitive compensation
- New hire equity grant as well as annual refresh grants
Locations
- United States, United States (Remote)
Salary
Estimated Salary Rangemedium confidence
135,000 - 195,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Snowflakeintermediate
- SQLintermediate
- ETL processesintermediate
- Airflowintermediate
- DBTintermediate
- third-party APIsintermediate
- Google Analyticsintermediate
- Google Tag Managerintermediate
- Google Adsintermediate
- Facebook Adsintermediate
- Snapchat Adsintermediate
- AWSintermediate
- GCPintermediate
- containerization technologiesintermediate
Required Qualifications
- 3–5 years of software engineering experience with strong proficiency in Python for building backend services, APIs, and data pipelines. (experience)
- Demonstrated experience with data integration technologies including Snowflake, SQL, and ETL processes across multiple data sources. (experience)
- Familiarity with workflow orchestration tools (Airflow) and data transformation frameworks (DBT). (experience)
- Experience working with third-party APIs and integrations, particularly in marketing or ad tech contexts. (experience)
- Strong organizational skills with ability to deliver complete features independently and manage multiple priorities effectively. (experience)
- Effective communicator who can collaborate across marketing, product, and engineering teams to understand requirements and deliver solutions. (experience)
Preferred Qualifications
- Experience with Google Analytics, Google Tag Manager, or other marketing analytics platforms. (experience)
- Familiarity with ad platform APIs (Google Ads, Facebook Ads, Snapchat Ads) and conversion tracking mechanisms. (experience)
- Understanding of digital marketing concepts and performance marketing KPIs (ROAS, LTV, CAC, CPA). (experience)
- Experience with cloud platforms (AWS, GCP) and containerization technologies. (experience)
- Previous experience in a marketing technology or ad tech organization. (experience)
- Knowledge of data privacy regulations and secure handling of user data in marketing contexts. (experience)
Responsibilities
- 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.
Benefits
- general: Highly market-competitive compensation
- general: New hire equity grant as well as annual refresh grants
Tags & Categories