About this role
Axetriura
Actively Hiring
Top 1% of responders
Axetriura is in the top 1% of companies in terms of response time to applications
Responds within a day
Based on past data, Axetriura usually responds to incoming applications within a day
Top 1% of responders
Axetriura is in the top 1% of companies in terms of response time to applications
Responds within a day
Based on past data, Axetriura usually responds to incoming applications within a day
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Python / GCP Data Engineer from only Eastern Europe
- $30k – $40k • No equity
- |Remote ( Eastern Europe )
- |4 years of exp
- |Full Time
Posted: today• Recruiter recently active
Hires remotely in
Eastern Europe
Remote Work Policy Remote only
Company Location
Miami
Visa Sponsorship Not Available
Preferred Timezones Mountain Time
RelocationNot Allowed
About the job
Position: Mid or Senior Python / GCP Data Engineer
Location: Remote
Employment Type: Full-Time
Salary: $2,000–$3,000 USD per month (depending on experience)
Working Hours: Must be available during U.S. business hours (Eastern Time Zone)
Experience Level: Mid-Level to Senior (4+ years preferred)
We are looking for an experienced Python / GCP Data Engineer to design, develop, and maintain scalable data pipelines, backend APIs, and cloud-based data processing systems.
The ideal candidate has strong experience with Google Cloud Platform (GCP), Python, FastAPI, BigQuery, Apache Iceberg, and DuckDB, along with a solid understanding of modern data engineering architectures.
Key Responsibilities
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Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and GCP.
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Develop high-performance RESTful APIs and microservices using FastAPI.
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Build and optimize analytical data solutions using BigQuery, Apache Iceberg, and DuckDB.
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Integrate data from multiple sources, including REST APIs, databases, cloud storage, and third-party systems.
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Design and maintain data lake and lakehouse architectures.
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Work with GCP services such as Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, Dataflow, Dataproc, and Cloud Composer.
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Optimize SQL queries, data processing performance, and cloud infrastructure costs.
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Implement data validation, quality checks, monitoring, and error handling.
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Develop automated testing and CI/CD pipelines for backend services and data workflows.
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Collaborate with engineering and product teams to deliver reliable, production-ready solutions.
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Implement secure data access, authentication, and authorization following cloud security best practices.
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Required Qualifications
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4+ years of professional experience in Python backend development or data engineering.
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Strong hands-on experience with Google Cloud Platform (GCP).
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Advanced Python programming skills, including asynchronous programming and data processing.
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Production experience building APIs using FastAPI.
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Strong SQL skills and experience with Google BigQuery.
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Experience with Apache Iceberg, DuckDB, or similar modern analytical data technologies.
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Experience building ETL/ELT pipelines and handling large datasets.
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Familiarity with data modeling, partitioning, indexing, and query optimization.
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Experience with Docker, Git, and CI/CD pipelines.
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Understanding of cloud IAM, service accounts, authentication, and security.
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Strong debugging, troubleshooting, and problem-solving skills.
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Good English communication skills.
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Preferred Qualifications
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Previous experience in the U.S. healthcare industry.
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Knowledge of healthcare data standards such as FHIR, HL7, and EHR/EMR integrations.
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Understanding of HIPAA compliance and secure handling of PHI/PII.
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Experience with GCP Healthcare API and FHIR data processing.
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Experience with Apache Airflow, dbt, Apache Beam, or PySpark.
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Familiarity with Terraform and Infrastructure as Code.
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Experience with PostgreSQL, Redis, or other database technologies.
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Knowledge of data governance, observability, and performance monitoring.
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Working Hours & Availability
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U.S. time zone availability is a strict requirement for this position.
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Must be available during U.S. Eastern Time (ET) business hours.
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Full-time commitment of approximately 40 hours per week.
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Must be able to attend daily standups, technical discussions, and team meetings.
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Strong communication skills and responsiveness during working hours are essential.
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Candidates unable to maintain consistent U.S. time zone availability will not be considered.
Compensation
$2,000–$3,000 USD per month, based on technical expertise, relevant experience, and interview performance.
This is a fully remote, long-term opportunity to work on cloud-native data engineering and backend systems, with a focus on scalable, secure, and reliable solutions.
Apply Now
About the company
Axetriura
Actively Hiring
1-10 Employees
Miami
1-10
Software
Top 1% of responders
Axetriura is in the top 1% of companies in terms of response time to applications
Responds within a day
Based on past data, Axetriura usually responds to incoming applications within a day
Learn more about Axetriura
Founders
Osmani Silva Founder
View the team
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