Senior Data Engineer - Sol-1634

### This is a remote position. **​****Job description:** We are seeking a Senior Data Engineer to design, build, and maintain scalable data systems that support analytics and machine learning initiatives. This role operates within a SaaS and on-premise hybrid deployment environment and plays a key role in structuring and optimizing data flow across the platform. A core focus will be extending and operating the company’s Elastic Hierarchy framework. **Schedule:** Full-time **Responsibilities:** * Design, develop, and maintain scalable ETL/ELT data pipelines using Python. * Process and integrate data from multiple formats and sources, including JSON, CSV, and XML. * Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster. * Enforce data governance, quality, and security standards across data systems. * Extend, maintain, and optimize the Elastic Hierarchy data framework. * Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets. * Support data operations in SaaS and on-premise hybrid environments. ​ ### Requirements **Skills:** * Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. * Strong proficiency in Python development. * Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS. * Hands-on experience with Snowflake, MongoDB, and PostgreSQL. * Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or Dagster). * Knowledge of data mapping, attribution, and reconciliation processes. * Ability to work effectively in hybrid and on-premise deployment environments. * Strong English communication skills, both written and verbal. Originally posted on [Himalayas](https://himalayas.app)