Senior Data Engineer (Bigquery, Dbt, Python, Data Modeling)

Worldwide | Sept. 1, 2026

Report as Closed

Company: Dillo.Tech

Country: Worldwide

Salary: $60,000 - $78,000

Type: Remote

Employment: Full-time

Description: AI-automated IT outsourcing & staff augmentation. Senior engineers, low flat margin, total pricing transparency. Headquartered in Austin, TX. None

• 6+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development with a minimum of 2+ years of working experience as Google Cloud Platform (GCP) developer.
• Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.
• Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google’s BigQuery.
• Experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery etc.
• Proficiency in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar.
• Proficiency in Git for version control
• Experience with DBT for data transformation.
• Proven experience in high-quality designing, building and maintaining ETL processes, automated data quality checks and reusable ETL components.
• Familiarity with Data Lake and Data Warehousing concepts and Data Modelling techniques.
• Familiarity with concepts like star schema, snowflake schema, standardization, normalization, fact and dimension tables.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
• Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.

• Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines.
• Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance.
• Proficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging
• Optimize ETL processes and data workflows to ensure abiding by performance constraints, for efficiency and scalability.
• Comfortably lead designing and building of development to production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo.
• Expertise in JSON, XML, text parsing using Dataflow, Python, or batch jobs.
• Advocates and practices software best practices in leveraging reusable components in implementation.
• Design, develop and maintain robust, and scalable data models and schemas to support analytics and reporting requirements.
• Optimize data processing performance, ensure high availability, scalability of data systems and solutions.
• Implement monitoring and alerting mechanisms to proactively identify and resolve issues.
• Ensure data quality and consistency through rigorous testing and validation processes in development and production tiers.
• Troubleshoot and resolve data-related issues promptly.
• Create, update, and maintain technical documentation of the data processes, pipelines, and models.
• Stay updated with industry trends and technologies to continuously improve our data engineering practices.

• Salary paid in USD to Payoneer or Argentinian/USA bank.
• We cover 16 national holidays and 10 days of vacation.
• Ability to work with some of the best Data engineers in the World.

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