4+
Experience
Remote
Job Type
B2
English Level
Who We’re Looking For
Jaxel is seeking a Senior Data Engineer to join our cutting-edge team.
What You’ll Do
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Design and build scalable, efficient ETL/ELT data pipelines using modern tools (e.g., dbt, Airflow, Fivetran, custom Python jobs).
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Develop and maintain data models, schemas, and transformations in Snowflake and other cloud data warehouses (e.g., BigQuery, Redshift).
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Integrate data from various sources (internal systems, APIs, 3rd party data providers).
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Work with stakeholders to understand data needs and deliver reliable, clean, and well-documented datasets.
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Build and maintain data quality and validation checks to ensure high trust in our data.
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Optimize query performance and storage costs in Snowflake and other platforms.
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Collaborate with analytics, product, and engineering teams to support data-driven features and reporting needs.
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Implement and maintain infrastructure-as-code, CI/CD workflows, and version control for data pipelines.
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Ensure data security, access control, and compliance with relevant policies (e.g., GDPR, HIPAA if applicable).
What You’ll Need
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3+ years of experience as a Data Engineer or in a similar role.
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Strong SQL skills and deep understanding of data warehousing principles.
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Hands-on experience with Snowflake and at least one other data warehouse (BigQuery, Redshift, etc.).
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Experience with modern data pipeline tools such as Airflow, dbt, Fivetran, Dagster, or custom Python/Scala jobs.
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Proficiency in Python (or another scripting language) for data manipulation and orchestration.
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Experience building and maintaining production-grade ETL/ELT pipelines.
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Familiarity with cloud platforms like AWS, GCP, or Azure (e.g., S3, Lambda, Cloud Functions).
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Strong attention to data quality, testing, and documentation
Additional requirements (optional)
What We Offer
- Competitive salary.
- Remote work opportunity.
- Comfortable work in your local time zone.
- Flexible work schedule.
- Professional growth and development.
- Multicultural working environment.
Experience with real-time / streaming data (Kafka, Spark Streaming, etc.).
Exposure to data governance, lineage, and metadata tools (e.g., Amundsen, DataHub).
Understanding of data privacy, compliance, and security best practices.
Familiarity with infrastructure-as-code (e.g., Terraform) and CI/CD pipelines (GitHub Actions, GitLab CI, etc.).
Experience collaborating in agile teams and using tools like Jira, Confluence, etc.