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Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
You will be a member of TaskRabbit’s Data Team, which includes Data Science, Machine Learning and Data Engineering teams. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
The Data Engineering team’s mission is to build ELT-based data pipelines and create services and tools for others to use data more efficiently. This role is an exciting opportunity working on a new initiative at TaskRabbit in addition to working with our existing Data Engineering team to support its mission above. We anticipate that, initially, you will spend about 30% of your time on the new project, and that percentage will increase over time with the option of joining the new team full-time as the new product is launched.
For both the new initiative and in supporting TaskRabbit’s core business, you will work on developing and enhancing data pipelines and data warehouses, ensuring high scalability and reliability. Additionally, you will be responsible for data monitoring and alerting as well as maintaining data integrity in our data ecosystem. You will work with cross functional teams and stakeholders to define requirements and architect and build solutions to meet those requirements. You will work with other engineers to ensure that our data platform and infrastructure and data pipelines and infrastructure are running efficiently and smoothly.
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At Taskrabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, Taskrabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75 cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
Full Time
Consumer Services
09/26/2022
10/23/2022
taskrabbit.com
NEW YORK, NY
200 - 500
2008
Private
BARTEK RINGWELSKI
$10M - $50M
Consumer Services
TaskRabbit is an online platform that allows users to find and hire cleaning, moving, delivery and handyman professionals.
The job skills required for Senior Data Engineer include Futures, Initiative, Leadership, Innovation, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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