Submit Application by September 7th, 2022

About Purpose:
Purpose builds and supports movements to advance the fight for an open, just,
and habitable world. We use public mobilization and storytelling to help
leading organizations, activists, businesses, and philanthropies engaged in
this fight, and we create campaigning labs and new initiatives that can shift
policies and change public narratives when it matters most.

To do this, Purpose brings together world-class talent from the world of
creatives, content development, storytelling, campaigning, grassroots
organizing, and political strategy to build new creative campaigning models.
Guided by smart strategy and powered by participation, our work reframes
issues, engages new audiences, shifts public discourse, and ultimately drives
targeted action and creates lasting impact. Join the team that made all this work!

Responsibilities:
Designs, builds, and maintains cloud engineering infrastructure and data
pipelines using clean, replicable and scalable Python code to automate data
integration and reporting processes

Drives development and refinement of data strategy, design, and
implementation of data infrastructure priorities across multiple internal and
external workstreams

Collaborates effectively with internal and external project teams to pursue
the best path towards data infrastructure and reporting goals and objectives

Confidently presents and facilitates discussion of data and infrastructure to
clients, partners, and other non-technical audiences in a clear and
well-structured manner; and able to engage in related and broader project
context discussion, planning and problem solving and questions

Proactively supports business development opportunities, including developing
compelling an technical and analytic approaches to a client needs and
opportunities prospect's challenge

The ideal candidate will have:

A proven ability to design and build data infrastructure and engineering
processes to help achieve strategic goals

Deep experience creating data models, building ETL pipelines and API
integrations using Python and SQL, to provide reliable, high quality data
sets for ongoing analysis and reporting

Hands-on experience building and optimizing data pipelines using cloud
engineering platforms like Google Cloud Platform or Amazon Web Services
Clear examples of developing well-documented, testable code and best
practices for data integrity

A track record of working in agile, entrepreneurial environments similar to a
tech startup, or a campaign, advocacy organization, agency or consultancy

Demonstrated experience working in a collaborative environment, with the
ability to manage projects effectively while maintaining positive &
respectful relationships

Clear approaches to research, data analysis, and measurement & evaluation
that center diversity, equity, and inclusion while also meeting project
needs, and further our commitment to producing positive social impact for good

Exposure to Python and R are helpful, but not required but helpful

Experience with ETL data engineering tools, such as dbt, Fivetran, Snowflake,
Airflow, or similar tools not required, but helpful, but not required

Familiarity with A/B testing, experimentation, and/or statistical analysis
are not required, but helpful

Our tech stack includes:

Google Data Studio + Google Cloud Platform
Airtable
Multiple quantitative and qualitative data collection tools/platforms
(integrated using APIs)

More Information

Location: Global, but strong preference for candidates in the US, UK, India,
Brazil, or Australia. This role has an option to be fully remote, or to work
out of any Purpose office.

Reports to: Levi Braslow, Global Head of Impact, Measurement & Learning

Salary: $110,000 - 140,000 for US-based candidates. If outside of the U.S.,
salaries will be commensurate with market value depending on country. This is
a full-time exempt position.

Submit Application by September 7th, 2022

About Purpose:
Purpose builds and supports movements to advance the fight for an open, just,
and habitable world. We use public mobilization and storytelling to help
leading organizations, activists, businesses, and philanthropies engaged in
this fight, and we create campaigning labs and new initiatives that can shift
policies and change public narratives when it matters most.

To do this, Purpose brings together world-class talent from the world of
creatives, content development, storytelling, campaigning, grassroots
organizing, and political strategy to build new creative campaigning models.
Guided by smart strategy and powered by participation, our work reframes
issues, engages new audiences, shifts public discourse, and ultimately drives
targeted action and creates lasting impact. Join the team that made all this work!

Responsibilities:
Designs, builds, and maintains cloud engineering infrastructure and data
pipelines using clean, replicable and scalable Python code to automate data
integration and reporting processes

Drives development and refinement of data strategy, design, and
implementation of data infrastructure priorities across multiple internal and
external workstreams

Collaborates effectively with internal and external project teams to pursue
the best path towards data infrastructure and reporting goals and objectives

Confidently presents and facilitates discussion of data and infrastructure to
clients, partners, and other non-technical audiences in a clear and
well-structured manner; and able to engage in related and broader project
context discussion, planning and problem solving and questions

Proactively supports business development opportunities, including developing
compelling an technical and analytic approaches to a client needs and
opportunities prospect's challenge

The ideal candidate will have:

A proven ability to design and build data infrastructure and engineering
processes to help achieve strategic goals

Deep experience creating data models, building ETL pipelines and API
integrations using Python and SQL, to provide reliable, high quality data
sets for ongoing analysis and reporting

Hands-on experience building and optimizing data pipelines using cloud
engineering platforms like Google Cloud Platform or Amazon Web Services
Clear examples of developing well-documented, testable code and best
practices for data integrity

A track record of working in agile, entrepreneurial environments similar to a
tech startup, or a campaign, advocacy organization, agency or consultancy

Demonstrated experience working in a collaborative environment, with the
ability to manage projects effectively while maintaining positive &
respectful relationships

Clear approaches to research, data analysis, and measurement & evaluation
that center diversity, equity, and inclusion while also meeting project
needs, and further our commitment to producing positive social impact for good

Exposure to Python and R are helpful, but not required but helpful

Experience with ETL data engineering tools, such as dbt, Fivetran, Snowflake,
Airflow, or similar tools not required, but helpful, but not required

Familiarity with A/B testing, experimentation, and/or statistical analysis
are not required, but helpful

Our tech stack includes:

Google Data Studio + Google Cloud Platform
Airtable
Multiple quantitative and qualitative data collection tools/platforms
(integrated using APIs)

More Information

Location: Global, but strong preference for candidates in the US, UK, India,
Brazil, or Australia. This role has an option to be fully remote, or to work
out of any Purpose office.

Reports to: Levi Braslow, Global Head of Impact, Measurement & Learning

Salary: $110,000 - 140,000 for US-based candidates. If outside of the U.S.,
salaries will be commensurate with market value depending on country. This is
a full-time exempt position.