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Senior Data Engineer SOL-1634
Job Location:
Monthly Salary:
Experience Required:
Posted:
28 May 2026 (30+ days ago)
Posted:
Application Deadline:
25 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 companys 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:
Bachelors or Masters 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.
Required Education:
Senior Data Engineer
