Data Quality/ETL Specialist - FULLY REMOTE - Contractor in USD
goPro Consultancy Group ltd. United States
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Why this grade This listing scored 44/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Mid level Contractor
Location:
For an international organization in New York, we are urgently looking for a REMOTE Data Quality/ETL Specialist with MEAN stack framework experience. Candidates need to be fluent in English. All positions are long-term. This position is open for contractors and employees.
Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US.
Tasks and responsibilities:
- Work with an agile team to design and implement ETL (Extract, Transform, and Load) processes;
- Translate design specifications and functional requirements into ETL processes;
- Data import, transformation and loading to data lakehouse from MongoDB;
- Merge code into shared repositories, validate code, and perform quality assurance;
- Implement data quality measures to ensure accuracy of data loaded into data lakehouse;
- +2 years of experience working with AWS ETL and data quality tools;
- Experience designing and implementing ETL pipeline;
- Experience with data cleansing and deduplication methods;
- Experience with MEAN stack framework;
- Experience with ensuring data accuracy and ETL testing;
- Experience with Kafka or other similar large-scale messaging technologies;
- Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation;
- Fluent in English;
- A challenging role for an international organization in New York;
- Attractive salary package;
Details
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 29 Jul 2026 Himalayas first sighting
Seen on 1 board over 54 days.