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Data Quality Engineer

Hi there!

We are looking for a Data Quality Engineer for the Sweed product startup, fully remote.

Further - more, in the Q&A.


What are we doing?

At Sweed, we offer a comprehensive cannabis retail solution with a wide range of features, including powerful POS functionality, in-depth analytics, marketing and promotional tools, efficient inventory management, and more. Our progressive web app can be easily accessed through the tablets already available in your store without any additional hardware required.

Since our establishment, we have been committed to creating an all-in-one system tailored to the specific needs of large cannabis retailers. Today, we are proud to be a market leader, owing much of our success to our signature killer feature – providing a full spectrum of software in one solution.


Why are we doing this?

At our company, we are driven by our passion for the medicinal potential of plants. Cannabis possesses unique properties that can help alleviate chronic pain, anxiety, depression, epilepsy, multiple sclerosis, glaucoma, and sleep disorders.

Although a significant amount of stigma is associated with this area, we firmly believe these plants possess unique properties and have helped countless people improve their quality of life. This rapidly growing industry presents immense potential for career advancement and personal fulfillment, and we are excited to explore how we can contribute to this dynamic field.


How old is the project? What stage is it at?

The product is already 4 years on the market and in the active development stage. 

Our current priority is establishing and maintaining strong customer trust, which has driven the development of our delivery processes that allow us to launch new features daily. Given the highly specialized nature of the cannabis retail market, we are committed to rapidly meeting the evolving needs of our customers. Furthermore, the market's unique legal framework presents challenges with significant variations in state-level taxes, delivery regulations, and other factors.

Who are we looking for?

We’re looking for a Data Quality Engineer to join our Data team. This position offers an opportunity to apply your expertise in data validation, develop automated solutions, and refine our processes to maintain the high standards of data quality.

As part of this role, you’ll work on critical initiatives such as a cross-validation project aimed at automating the process of ensuring that metrics between different datasets are tied with each other. 


What professional skills are important to us?

  • 3+ years of experience as a Data Quality Engineer or in a similar position.

  • Strong understanding of data quality concepts and methodologies.

  • Expertise in automating data quality checks.

  • Proficiency in SQL, Python, Pytest and Pandas.

Nice to have skills:

  • Experience with orchestration systems such as Dagster or Airflow.

  • Familiarity with Data Quality frameworks like dbt tests, Great Expectations, or Soda.

  • Knowledge of metadata management tools such as Open Metadata.

  • Experience with UI test automation.

What to do in the project?

  • Develop and implement robust solutions for automating data quality validation processes.

  • Collaborate with a cross-functional team to design and align technical solutions that improve data quality.

  • Optimize the performance of data pipelines and ensure alignment of metrics across datasets.


Team size and structure? 

We have structured our team around particular products. Typically, each team consists of 10-12 people, including front-end and back-end engineers, QA specialists, and analysts. A separate product owner is responsible for each team. Currently, we have a team of around 150 people.


The conditions:

Is there a probation period, and how long does it last? - The probation period lasts 3 months.

What is the work schedule? - Flexible working hours. Our working time zone is 09.00-15.00 (GMT), but it depends on the team, and can be flexible.

Is it possible to work remotely? - There is an opportunity to work fully remotely, we are a remote-first company, and we don't have offices.

What currency is the salary paid in, and what is the form of employment? - Salary in dollars (employment under a B2B contract with the USA).

The number of vacation days? - 20 working days per year.

The number of sick leave days? - 3 days. 

Social package (medical insurance, other): Medical insurance becomes available after the probation period. We also offer equipment reimbursement for essential items such as laptops and additional equipment like monitors.


The process:

1 hour - Initial call with a recruiter. There’s short English check and might be technical screening (optional)
1.5 hour - Technical interview

Average salary estimate

$85000 / YEARLY (est.)
min
max
$70000K
$100000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Quality Engineer , Sweed

Hey there! Are you a talented Data Quality Engineer looking for an exciting opportunity? Join us at Sweed, a pioneering cannabis retail startup, where our mission is to provide innovative solutions for a thriving industry. Our platform boasts powerful POS functionality, in-depth analytics, and efficient inventory management—all delivered through a user-friendly progressive web app. As we continue to grow and evolve, we are on the lookout for a Data Quality Engineer to join our dedicated data team in maintaining top-notch data accuracy. You'll be engaging in critical projects like automating cross-validation processes, all while working flexibly from anywhere in the world. We pride ourselves on fostering a culture that embraces growth, innovation, and the profound medicinal potential of cannabis. So, if you have over 3 years of experience in data quality engineering, possess a strong grasp of methodologies, and are proficient in tools like SQL and Python, we want to hear from you! With a supportive team, fully remote work options, and a commitment to quality, your contributions will help shape the future of cannabis retail. Let’s work together to ensure our data meets the high standards we've set and ultimately improve the quality of life for countless people. Ready to make an impact? Join us on this adventure!

Frequently Asked Questions (FAQs) for Data Quality Engineer Role at Sweed
What are the responsibilities of a Data Quality Engineer at Sweed?

As a Data Quality Engineer at Sweed, you'll be instrumental in developing and implementing robust solutions for automating data quality validation processes. You’ll collaborate with a cross-functional team to ensure data accuracy and refine processes that align metrics across different datasets. This role also involves taking part in critical projects like cross-validation to maintain high standards of data quality.

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What qualifications do I need to apply for the Data Quality Engineer role at Sweed?

To apply for the Data Quality Engineer position at Sweed, you should have at least 3 years of experience in a similar role. A strong understanding of data quality concepts and methodologies, along with expertise in automating data quality checks, is crucial. Additionally, proficiency in SQL, Python, Pytest, and Pandas will be beneficial to succeed in this position.

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Is the Data Quality Engineer position at Sweed remote?

Yes! The Data Quality Engineer role at Sweed offers full remote work. We are a remote-first company and support flexible working schedules while still maintaining effective collaboration across teams.

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What does the career path look like for a Data Quality Engineer at Sweed?

Working as a Data Quality Engineer at Sweed opens up numerous avenues for career advancement. You’ll have the opportunity to deepen your expertise in data quality methodologies, participate in impactful projects, and potentially take on leadership roles as our company continues to grow and evolve in the cannabis retail market.

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What benefits can I expect as a Data Quality Engineer at Sweed?

As a Data Quality Engineer at Sweed, you can expect 20 vacation days per year, access to medical insurance after the probation period, and reimbursement for essential equipment. Flexible working hours and the ability to work remotely also contribute to a strong work-life balance.

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Common Interview Questions for Data Quality Engineer
Can you describe your experience with automating data quality checks?

When answering this question, highlight specific projects where you've developed automated processes to ensure data accuracy. Discuss tools you’ve used, like SQL or Python, and emphasize the positive impact your automation had on the project outcomes.

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How do you prioritize tasks when dealing with multiple datasets?

Explain your strategy for managing workloads, such as assessing the urgency and importance of each dataset. Discuss techniques for organizing tasks and your communication with team members to ensure alignment and understanding.

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What methodologies do you use for data validation?

In your response, discuss established methodologies such as data profiling, rule-based validation, and statistical analysis. Provide examples from your experience illustrating how these methodologies have improved data quality.

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How do you handle discrepancies in data from different sources?

Address the importance of investigating the discrepancies, identifying root causes, and implementing corrective measures. Mention any specific strategies, like cross-validation or stakeholder collaboration, that you have successfully employed.

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Can you explain a challenging data quality issue you faced and how you resolved it?

Be prepared to share a detailed story about a specific challenge, emphasizing your analytical skills and problem-solving abilities. Focus on the steps you took to resolve the issue and the outcome.

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What tools or technologies do you use to maintain data quality?

Mention the tools you’re proficient in, such as SQL, Python, and Pandas, along with any Data Quality frameworks you have experience with. Highlight how these technologies have contributed to your success in maintaining data quality.

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Describe a successful project where you enhanced data accuracy or quality.

Share detailed information about the project, your role, and the techniques you applied to enhance accuracy. Quantify your results when possible, demonstrating the direct impact of your contributions on data quality.

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How do you keep up-to-date with changes in data quality best practices?

Discuss your commitment to continuous learning, including attending webinars, reading industry publications, or participating in professional networks. Highlight how this ongoing education has positively influenced your work.

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What role does communication play in your approach to data quality?

Emphasize the importance of effective communication in collaborating with cross-functional teams. Share examples of how you’ve communicated findings and resolved issues through discussions with stakeholders.

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Why do you want to work as a Data Quality Engineer at Sweed?

Express your passion for the cannabis industry and the impact data can have on enhancing operations. Highlight Sweed’s innovative approach and how you see yourself contributing to the company's mission and future.

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Since 1957, Sweed has been providing material handling equipment to keep products moving. Their line of hoists, turners and dryer support equipment have been helping processors achieve higher production goals with less downtime for over 50 years. ...

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Full-time, remote
DATE POSTED
December 4, 2024

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