Data Quality Engineer

Summary

Join Sweed, a leading cannabis retail solution provider, as a Data Quality Engineer! This fully remote position offers the chance to leverage your expertise in data validation and automation within a rapidly growing company. You will contribute to critical initiatives, such as a cross-validation project, ensuring data quality across various datasets. The role involves collaborating with a cross-functional team and optimizing data pipelines. Sweed offers flexible working hours, a B2B contract with USD salary, paid time off, and medical insurance after the probation period. The company is a remote-first organization with a supportive team environment.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Flexible working hours
• Fully remote work
• Salary in dollars (employment under a B2B contract with the USA)
• 20 working days per year vacation
• 3 days sick leave
• Medical insurance becomes available after the probation period
• Equipment reimbursement for essential items such as laptops and additional equipment like monitors