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Why this grade This listing scored 54/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- 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.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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 →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Senior Contractor
This is a remote position.
KANINIis seeking a highly skilledSenior Data Engineerwith deep expertise inGoogle Cloud Platform (GCP)and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementingMedallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency inBigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities- Design, develop, and maintainscalable batch and real-time data pipelineson GCP
- Implement and manageMedallion Architecture (Bronze, Silver, Gold layers)for data processing
- Build high-performance data transformations usingPython and PySpark
- Develop and optimizecomplex SQL queriesfor analytical workloads
- Work extensively withBigQueryfor large-scale data processing and performance tuning
- Develop and deploy pipelines usingCloud Dataflow
- Orchestrate workflows usingCloud Composer (Apache Airflow)
- Manage data storage and lifecycle usingGoogle Cloud Storage (GCS)
- Implementversion control and CI/CD pipelinesusing Git-based tools
- Ensuredata security, governance, and access controlusing GCP IAM
- Optimize data solutions forperformance, scalability, reliability, and cost-efficiency
- Strong hands-on experience withGoogle Cloud Platform (GCP)
- Expertise inBigQuery(partitioning, clustering, query optimization)
- Proven experience implementingMedallion Data Architecture
- Strong programming skills inPython and PySpark
- Hands-on exposure on Java
- Advanced proficiency inSQL (complex joins, window functions, performance tuning)
- Hands-on experience withCloud Dataflow
- Experience withCloud Composer (Airflow)for orchestration
- Experience working withGoogle Cloud Storage (GCS)
- Knowledge ofversion control systems (Git)and CI/CD practices
- Strong understanding ofGCP IAM and cloud security best practices
Preferred Qualifications
- Experience working withlarge-scale enterprise data platforms
- Knowledge ofdata warehousing and data lake concepts
- Familiarity withreal-time streaming frameworks
- Experience indata governance and data quality frameworks
- Exposure to
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
- 11 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.