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TITLE

 

Senior Data Engineer

COMPANY

 

Grove Collaborative

LOCATION

 

San Francisco, CA, US

Description

Are you excited by the prospect of using data and analytics to drive business growth? Are you passionate about big data technologies and leveraging them to deliver business value throughout the organization? Do you want to solve problems and work in an environment where you will be supported and grow? We are looking for a smart and passionate individual to join our Data Engineering team.

Your Impact

    • You will create and maintain optimal data structures and data pipelines for reporting, analytics and data science.
    • You will work closely with business users and analysts to gather requirements, run POCs and design solutions.
    • You will identify, design, and implement internal process improvements - automating manual processes, optimizing data delivery, ensuring data quality and integrity, re-designing infrastructure for greater scalability, etc.
    • You will build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data frameworks like Hadoop and Spark.
    • You will work with business stakeholders to assist with data-related technical issues and support their data infrastructure needs.
    • Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee of this job. Duties, responsibilities and activities may change at any time with or without notice.

About You

    • 5+ years of data engineering in a production environment
    • 3+ years of experience coding in a data capacity (Python, PHP, Java, etc)
    • 5+ years of experience SQL (we use Postgres and RedShift)
    • You have hands-on experience with MPP databases and query optimization (Snowflake and Amazon Redshift preferred).
    • You have basic knowledge of non-relational technologies like Hadoop and Spark (development experience in these environments highly desirable).
    • You have an excellent understanding of data warehousing concepts, ETL and data modeling.
    • You have extensive experience building and maintaining production data pipelines.
    • Production experience with machine learning (scikit, SyPy, tensorflow, etc) a plus, but not required
    • Ability to work independently
    • Outstanding communication skills (Written and Verbal)
Let’s do this
 
We're building a diverse and inclusive work environment where we learn from each other. We welcome people of diverse backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a fun place to work. Come join the community at Grove. It's a heck of a lot of fun, and we'd love to tell you more about it.
 
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Talent@grove.co.
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Are you excited by the prospect of using data and analytics to drive business growth? Are you passionate about big data technologies and leveraging them to deliver business value throughout the organization? Do you want to solve problems and work in an environment where you will be supported and grow? We are looking for a smart and passionate individual to join our Data Engineering team.

Your Impact

    • You will create and maintain optimal data structures and data pipelines for reporting, analytics and data science.
    • You will work closely with business users and analysts to gather requirements, run POCs and design solutions.
    • You will identify, design, and implement internal process improvements - automating manual processes, optimizing data delivery, ensuring data quality and integrity, re-designing infrastructure for greater scalability, etc.
    • You will build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data frameworks like Hadoop and Spark.
    • You will work with business stakeholders to assist with data-related technical issues and support their data infrastructure needs.
    • Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee of this job. Duties, responsibilities and activities may change at any time with or without notice.

About You

    • 5+ years of data engineering in a production environment
    • 3+ years of experience coding in a data capacity (Python, PHP, Java, etc)
    • 5+ years of experience SQL (we use Postgres and RedShift)
    • You have hands-on experience with MPP databases and query optimization (Snowflake and Amazon Redshift preferred).
    • You have basic knowledge of non-relational technologies like Hadoop and Spark (development experience in these environments highly desirable).
    • You have an excellent understanding of data warehousing concepts, ETL and data modeling.
    • You have extensive experience building and maintaining production data pipelines.
    • Production experience with machine learning (scikit, SyPy, tensorflow, etc) a plus, but not required
    • Ability to work independently
    • Outstanding communication skills (Written and Verbal)
Let’s do this
 
We're building a diverse and inclusive work environment where we learn from each other. We welcome people of diverse backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a fun place to work. Come join the community at Grove. It's a heck of a lot of fun, and we'd love to tell you more about it.
 
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Talent@grove.co.
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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