Remote job description
Wonolo (Work Now Locally) is disrupting the $140BN temporary staffing industry. Founded in 2014, Wonolo's mission is to help people find consistent work. Through our two-sided tech marketplace, we connect hundreds of businesses in need of front-line workers with over 1 million underemployed workers in local markets across the United States, within minutes. Wonolo empowers the in-demand workforce by democratizing access to flexible work, opportunities to learn new skills, a living wage, and comprehensive portable benefits and perks.
We are committed to helping every American find work. Through our tech-enabled marketplace, we connect businesses in need of front-line workers with over 1 million individuals from underserved communities across the United States. Every day, we create opportunities for people to make extra income, learn new skills, and change their lives. At the same time, we are saving companies money by efficiently connecting them with hard-to-reach talent and redesigning the recruitment process for many industries.
Wonolo is looking for a Data Analytics Engineer to help build and automate large-scale, high-performance data storage and processing systems. Using a rich toolset including DBT and SQL, you'll use your skills to deliver rich data and analytics experiences. As a steward of all things data at Wonolo, you'll own data definitions and cleanliness across the company. Working alongside a team of engineers, analytics professionals and data scientists, your contribution will be felt across the company as you create easily accessible, standardized experiences that will deliver key business insights.
This opportunity is open to students located anywhere in Canada and who are interested in 4 month co-ops, with a start date of September 2022.
Wonolo is a two-sided job marketplace that serves over 1 million front-line workers, providing them access to flexible and consistent job opportunities across the United States within minutes, at companies such as Peloton, Coca-Cola, Neiman Marcus, Papa John's, and thousands more.
We are a remote-first company with 200+ full-time employees, and quickly scaling our team within the United States, Canada, and Latin America. We are well funded and backed by leading investors including Sequoia Capital, Bain Capital, and Leeds Illuminate, among others.
Learn more about us:
Wonolo raises $140M to continue supporting over 1 million laborers and front-line workers
Wonolo is one of Glassdoor's best tech companies to work for in 2021
Why G2 Venture Partners Invested in Wonolo
Yong Kim (CEO) on why he's passionate about empowering the in-demand workforce
Wonolo is a Great Place to Work-Certified company for delivering a consistently high-trust experience for all employees. We value representation and are committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees.
Inc. Magazine's Best Workplaces 2022 (Medium to Large)
#24 in Glassdoor's Best Places to Work 2021 (Small and Medium)
#12 in Fortune's Best Workplaces in the Bay Area 2021 (Small and Medium)
Commitment to Diversity, Inclusion, Equity, and Belonging
Wonolo welcomes you as you and celebrates our collective diversity. We work to serve the underserved, and we are built on the strength of our entire community. We are especially interested in candidates who represent different cultures, perspectives, and backgrounds as these empower our team to come together to make the best decisions and the biggest impact.
Wonolo is an equal opportunity employer. We work to ensure all people feel supported, empowered, and connected at work. A big part of this effort is through our support for members and allies of Employee Resource Groups such as Whammies of Color and Allies at Wonolo (WoCAW), Women of Wonolo (WoW), Parents of Wonolo (PoW), and People Out at Wonolo and Allies (POWA). Individuals seeking to work at or with Wonolo are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity, or any other protected status under all applicable laws, regulations, and ordinances.
Wonolo Privacy Statement
By providing your personal information and/or submitting your application, you agree that Wonolo may use your personal information for the purposes of carrying out its recruitment and hiring process, which may include, but not limited to, reviewing your qualifications, verifying your information, communicating with you about the recruitment process, and retaining your personal data as otherwise needed for recruitment-related activities.
Information you provide Wonolo as part of the recruitment process is accessible only to those Wonolo employees and other third-party service providers involved with Wonolo's recruitment, interview, and onboarding process. Wonolo does not disclose your personal information to any third party in a manner that would be considered a sale under applicable laws. By providing your personal information as an applicant for this position or any other position at Wonolo, you agree that your personal data may be transferred and/or disclosed to Wonolo's third-party providers. This may include transfers to servers and databases outside the country where you provided Wonolo with your personal data.
This position is not open to applicants residing in or otherwise based in the State of Colorado or New York City. The work location is flexible if approved by the Company, except that the position may not be performed remotely from within the State of Colorado or New York City.
Summary
Company name: Wonolo
Remote job title: Data Analytics Engineer
Job tags: SQL, Python, analytics
We are committed to helping every American find work. Through our tech-enabled marketplace, we connect businesses in need of front-line workers with over 1 million individuals from underserved communities across the United States. Every day, we create opportunities for people to make extra income, learn new skills, and change their lives. At the same time, we are saving companies money by efficiently connecting them with hard-to-reach talent and redesigning the recruitment process for many industries.
Wonolo is looking for a Data Analytics Engineer to help build and automate large-scale, high-performance data storage and processing systems. Using a rich toolset including DBT and SQL, you'll use your skills to deliver rich data and analytics experiences. As a steward of all things data at Wonolo, you'll own data definitions and cleanliness across the company. Working alongside a team of engineers, analytics professionals and data scientists, your contribution will be felt across the company as you create easily accessible, standardized experiences that will deliver key business insights.
This opportunity is open to students located anywhere in Canada and who are interested in 4 month co-ops, with a start date of September 2022.
What you'll do:
- Own the data transformations and data definitions produced by our ETL pipeline, ensuring they are standardized, clean, accessible and understandable to a wide audience
- Apply software engineering best practices and rigour to your data sets
- Maintain and optimize our data pipelines, ensuring they remain useful and relevant as we scale
- Contribute to analytics thought leadership, ensuring our data stack and processes are up to date with best practices and trends
Who you are:
- You have strong experience working with DBT, SQL, and Python
- You are experienced with data definition, cleaning, and delivery in a productized environment
- You can maintain and optimize monitoring and iteration of reporting and analytics pipelines
- You have strong communication skills that allow you to explain complex challenges to both technical and non-technical stakeholders
- You demonstrate a substantial commitment to advancing representation and inclusion
Benefits and perks:
- Competitive compensation
- Company laptop
- Monthly cell phone reimbursement ($66 CAD)
- Exciting opportunities for growth, whether it is through mentorship, by contributing to mission critical projects, or working alongside top talent in Product and Engineering, expect high impact
- We encourage a healthy work-life balance, and offer flexible schedules with the option to work remotely from anywhere in Canada
- Company events and team outings (both virtual and outdoors when possible)
- Continuous learning through Udemy
- Unlimited high fives!
Wonolo is a two-sided job marketplace that serves over 1 million front-line workers, providing them access to flexible and consistent job opportunities across the United States within minutes, at companies such as Peloton, Coca-Cola, Neiman Marcus, Papa John's, and thousands more.
We are a remote-first company with 200+ full-time employees, and quickly scaling our team within the United States, Canada, and Latin America. We are well funded and backed by leading investors including Sequoia Capital, Bain Capital, and Leeds Illuminate, among others.
Learn more about us:
Wonolo raises $140M to continue supporting over 1 million laborers and front-line workers
Wonolo is one of Glassdoor's best tech companies to work for in 2021
Why G2 Venture Partners Invested in Wonolo
Yong Kim (CEO) on why he's passionate about empowering the in-demand workforce
Wonolo is a Great Place to Work-Certified company for delivering a consistently high-trust experience for all employees. We value representation and are committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees.
Inc. Magazine's Best Workplaces 2022 (Medium to Large)
#24 in Glassdoor's Best Places to Work 2021 (Small and Medium)
#12 in Fortune's Best Workplaces in the Bay Area 2021 (Small and Medium)
Commitment to Diversity, Inclusion, Equity, and Belonging
Wonolo welcomes you as you and celebrates our collective diversity. We work to serve the underserved, and we are built on the strength of our entire community. We are especially interested in candidates who represent different cultures, perspectives, and backgrounds as these empower our team to come together to make the best decisions and the biggest impact.
Wonolo is an equal opportunity employer. We work to ensure all people feel supported, empowered, and connected at work. A big part of this effort is through our support for members and allies of Employee Resource Groups such as Whammies of Color and Allies at Wonolo (WoCAW), Women of Wonolo (WoW), Parents of Wonolo (PoW), and People Out at Wonolo and Allies (POWA). Individuals seeking to work at or with Wonolo are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity, or any other protected status under all applicable laws, regulations, and ordinances.
Wonolo Privacy Statement
By providing your personal information and/or submitting your application, you agree that Wonolo may use your personal information for the purposes of carrying out its recruitment and hiring process, which may include, but not limited to, reviewing your qualifications, verifying your information, communicating with you about the recruitment process, and retaining your personal data as otherwise needed for recruitment-related activities.
Information you provide Wonolo as part of the recruitment process is accessible only to those Wonolo employees and other third-party service providers involved with Wonolo's recruitment, interview, and onboarding process. Wonolo does not disclose your personal information to any third party in a manner that would be considered a sale under applicable laws. By providing your personal information as an applicant for this position or any other position at Wonolo, you agree that your personal data may be transferred and/or disclosed to Wonolo's third-party providers. This may include transfers to servers and databases outside the country where you provided Wonolo with your personal data.
This position is not open to applicants residing in or otherwise based in the State of Colorado or New York City. The work location is flexible if approved by the Company, except that the position may not be performed remotely from within the State of Colorado or New York City.
Summary
Company name: Wonolo
Remote job title: Data Analytics Engineer
Job tags: SQL, Python, analytics
Canada