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Work setup: Remote stated — work setup source
This is a remote position. Job description:
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Employment: Full-time — employment source
Schedule: Full-time Responsibilities:
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What you’ll work on

Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
Build and manage data transformations and orchestration workflows using DBT and tools
Collaborate closely with analytics, machine learning, and product teams to deliver

From the employer’s posting

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.

Extend, maintain, and optimize the Elastic Hierarchy data framework. Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets.

What you’ll bring

All qualifications

Core experience

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,
Hands-on experience with Snowflake, MongoDB, and PostgreSQL.
Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or
Knowledge of data mapping, attribution, and reconciliation processes.

Qualification wording

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,

Hands-on experience with Snowflake, MongoDB, and PostgreSQL.

Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or

Knowledge of data mapping, attribution, and reconciliation processes.

Education & alternatives

Skills: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • Strong proficiency in Python development.

Tools in this posting

Python
AWS
dbt
MongoDB
Prefect
Redshift
S3
Snowflake
Airflow
PostgreSQL
Dagster

Source

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

• 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,

• Strong proficiency in Python development. • Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS.

XML. • Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster.

• Hands-on experience with Snowflake, MongoDB, and PostgreSQL. • Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or Dagster).

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

• 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.

• 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.

Job description

View original posting ↗

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.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

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This is a remote position. Job description:

More source context

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

More relevant text appears in the full description.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at softwareestrategico.zohorecruit.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 2, 2026
Recorded sightings: 184
Last seen by us: Oct 8, 2026

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Senior Data Engineer - SOL-1634