Empleos de data engineer en Desde casa
- SweedDesde casa·
- Expertise in automating data quality checks.
- Strong understanding of data quality concepts and methodologies.
- Collaborate with a cross-functional team to design…
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- VisevenDesde casa·
- Excellent knowledge of relational database management systems, data modeling, data migration and data visualization.
- Experience with test-driven development.
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- Netrix GlobalDesde casa·
- Managing Data Cloud services, data access, data quality, security and governance.
- Designing ETLs and ELTs for data transformations.
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- MediaLabDesde casa·
- 1-2 years of professional experience as a data engineer, or software engineer with significant exposure to working with data.
- Must be comfortable with python.
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- TrueNorthDesde casa·
- Knowledge working with relational and non-relational Databases, data modeling.
- If you like playing with the latest technology from Amazon for moving and…
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- Búsqueda de sueldos: sueldos de Sr. Data Engineer en Desde casa
- MarsieDesde casa·
- You are excited about building data models and working with scientific data.
- 5+ years of data/software engineering experience, preferably supporting scientists…
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- CharlieDesde casa·
- Expertise in database testing including designing and manipulating test data.
- Develop quality metrics and use data to drive actions and decisions.
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- Búsqueda de sueldos: sueldos de QA Engineer
- OpenGovDesde casa·
- Proficiency in data structures, database concepts, algorithms and observability is required.
- Strong collaboration skills with the product, UX, and platform…
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Ver empleos similares de esta empresaEhvert IncDesde casaEn general, responde en el plazo de 1 día.·- Proven expertise as an electrical engineer.
- Design, modelling, and simulation of electrical systems for data centers (both new construction projects and…
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- WizelineDesde casa·
- Strong analytical and communication skills.
- Experience in development and testing, with programming skills in Java, Python or Javascript.
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Ver empleos similares de esta empresaChainlink LabsDesde casa·- Experience working in or with market data.
- Work closely with fellow engineers to build the end to end experience for your products, including but not limited to…
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- WizelineDesde casa·
- Proficiency in designing and implementing ETL (Extract, Transform, load) processes, dealing with big volumes of data (terabytes of data which required…
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- MindtechDesde casa·
- At least 2 years of relevant experience in data engineering, with a strong portfolio of designing and implementing data solutions.
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- TruvDesde casa·
- Reverse engineer and build integrations with external APIs and services.
- Truv provides a frictionless and secure infrastructure that connects financial…
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- ReownDesde casaEn general, responde en el plazo de 1 día.EmployerActivo hace 7 días·
- You’ll write data health-checks and alerts to ensure data correctness, consistency and freshness.
- You’ll meet periodically with product managers and internal…
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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