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DoSomething.org Data Engineer in New York, New York

DATA ENGINEER

Reports to: VP, Engineering

Target Start Date: November 1, 2021

Location: DoSomething.org has its headquarters in NYC. As a result of COVID-19, DoSomething staff are working fully remote. DoSomething is exploring a hybrid return to office approach with a target of fall 2021. Preferably, candidates will be based in the New York City Metro area, but candidates in other locations within the U.S. will be considered.

WHO WE ARE

DoSomething.org is a youth-led movement for good. Our social impact campaigns and programming have mobilized millions of DoSomething.org members to clothe half of America’s youth in homeless shelters, clean up 3.7 million cigarette butts from the streets, run the largest youth-led sports equipment drive, and register over 250,000 voters (https://www.prnewswire.com/news-releases/dosomethingorg-exceeds-250k-voter-registration-goal-in-2020-301166569.html) during the 2020 presidential election, 71% of whom actually voted!

Want more? Check out this video (https://youtu.be/4Pl-8ntoWOU) .

THE POSITION

DoSomething is seeking an innovative solutions-oriented, collaborative Data Engineer to optimize our current data solutions and build new data solutions in service of establishing DoSomething as a center for excellence in service of youth-led social impact.

Reporting to the Vice President, Engineering, the Data Engineer will contributes to the mission and vision of DoSomething.org by supporting our day- to-day data needs and collaborating within the organization to develop new solutions that leverage our data to motivate and represent the interests of young people across the spectrum of identity based on youth focused research, data and insights.

WHAT YOU’LL DO

Data Support (40%)

  • Identify gaps in data collection and collaborate with product, engineering and analytics team members on data capture requirements /specifications

  • Support ad hoc data / Looker support requests from business stakeholders, periodically

    Data Modeling and Analytics Engineering (30%)

  • Drive the design and launch of data models and pipelines in our data warehouse, continuously improving our overall data availability and quality.

  • Assess and own our data use cases, identify gaps in our data collection and quality, and regularly collaborate with product engineering and data stakeholders on data model requirements.

  • Incorporate business logic into query building to transform data and build downstream tables for business analysis, setting up and maintaining the jobs to populate these tables

  • Diagnose and fix data discrepancies and maintain transparent, well-documented data model code to foster data trust, collaboration, maintainability, and usability over time.

  • Incorporate data modeling and analytics engineering best practices into our system (e.g. scalable data model design practices, data & schema testing)

    Infrastructure Development & Leadership (30%)

  • Develop, maintain and improve data infrastructure, including our data warehouse, ingestion pipeline, endpoints and monitoring tools.

  • Tune SQL queries and data warehouse configurations to improve performance while keeping costs in mind.

  • Optimize our monitoring systems to ensure our data pipelines are healthy, sustainable and scalable on a continuous basis.

  • Lead our internal standards for style, maintainability, and best practices for a high-scale data infrastructure.

  • Collaborate with a Data Scientist to develop and maintain predictive models and machine learning algorithms.

    QUALIFICATIONS

    WHAT YOU’LL BRING

  • 3+ years of experience in a dedicated data team role with a substantial engineering component, working within modern analytics teams in high-growth, high-performance environments.

  • Highly skilled in analytical SQL in support of advanced data modeling/ transformations, templating languages (such as Jinja), and manipulating multiple data formats (XML, JSON)

  • 2-3 years of experience with R/ Python or similar languages in a production environment

  • Familiarity developing, debugging, and deploying infrastructure within a cloud environment and can maintain/ enhance custom data integrations

  • Experience w/ modern data stack technologies including:

  • BI reporting tools (e.g. Looker, Tableau)

  • data transformation systems (dbt preferred)

  • cloud data pipelines (e.g. Fivetran, Stitch)

  • orchestration (e.g. Jenkins, dbtCloud)

  • data warehouse environments (e.g. Redshift, Snowflake etc

  • Track record of collaborating with other data professionals and technical teams to develop a data platform, including upstream requirements, data model, data workflows, SLOs, etc

  • Comfortable driving multiple stages of data tools project cycle , e.g. identification of data platform problems-to-be-solved, solution evaluation, proof-of-concept, & implementation

  • Relentlessly focused on sustainable data quality and leads the conversation on standards & best practices (ie. version control, testing, continuous integration)

  • Understanding of best practices around modeling data within specific business domains (e.g. marketing, product, member retention)

  • Knowledge of how to easily break down ambiguous problems and propose impactful data modeling designs

  • Extend the schema in collaboration with the data team’s needs, find and deal with bad data and duplicates, optimize storage and retrieval.

  • Simplify, extend, refactor, and test, all in Python . Document our processes and our reasoning.

  • Data ingestion of new data sources , whether from our own apps or external services, by API integrations and streaming events.

    WHO YOU ARE

  • You are solutions oriented and can navigate complex or constrained situations to find solutions, intuit where to compromise and where to hold firm, and consistently deliver on required business results.

  • You are results oriented and consistently set and achieve realistic business goals and understand the importance of meeting quality standards and deadlines

  • You are an analytical / critical thinker that transforms data into actionable insights to inform strategic and tactical business decisions.

  • You have strong judgment & decision making ability for analyzing problems and developing effective, viable solutions that drive the effectiveness of the team and the organization as a whole.

  • You believe teamwork and collaboration are important to accomplish common goals; valuing and celebrating the contributions of others.

  • You are a team player who accepts responsibility for yourself and your contribution as a team member. You commit to organizational success and inspires others to commit to team and org goals

  • You believe in young people and are curious about the needs and wants of young people across the spectrum of identity and difference.

    Select Perks & Benefits.

  • 3 weeks vacation, paid winter holiday break (from Christmas to New Years), and ½ Day Summer Fridays (Memorial Day to Labor Day!).

  • Medical and dental premiums fully covered by us. You read that right!

  • An incredibly compelling reason to wake up and make it to work every day.

    DoSomething.org is an equal opportunity employer.

    Please, no calls.


DoSomething.org and DoSomething Strategic (“we”, “us”) are committed to protecting and respecting your privacy. This policy explains when and why we collect personal information on candidates, and how we keep it secure.

Who are we?

  • DoSomething.org is one of the largest organizations in the world focused on young people and social change. DoSomething Strategic is the consulting arm of DoSomething.org. Our 6 million+ members take action, online and offline, to better their communities by participating in one of our 250+ cause campaigns.

    How and why we collect data from you.

  • We collect and retain data that is included in your job application. This includes your full name, contact information, and any personal information disclosed in your resume, cover letter, and other supplemental application materials.

  • Data is collected for evaluation criteria when seeking employment at DoSomething

  • We will only use your data for what was originally intended -- for purposes of seeking and gaining employment at DoSomething. Your data will not be “recycled” for marketing emails or to sell to third parties.

    How long do we retain this data?

  • DoSomething will retain candidate profiles for 3 years.

  • Annually on August 1, candidate profiles from 3+ years prior will be entirely deleted from our system.

    Is your data secure?

  • JazzHR maintains secure job board pages. Job boards will default to HTTPS. Additionally, if we were to terminate our contract with JazzHR our candidate data is deleted from JazzHR’s systems in accordance with JazzHR’s Terms of Service.

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