Ingest and onboard datasets from internal systems, APIs, databases, files, external providers, and real-time feeds.
Build and operate scalable ETL/ELT pipelines using Python, PySpark, SQL, and Foundry tooling; schedule and automate batch/stream refreshes.
Model and operationalize data (defining entities/relationships) to support analytics and operational applications in collaboration with domain experts.
Ensure trust in data through testing, data quality checks, observability/alerting, lineage, and compliant access controls.
Collaborate with analysts and product teams to translate business requirements into robust data solutions and clear data contracts/SLOs.

Jobs at Rimes

1 active role from this employer in the JobMatcher catalog.

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About the role

Rimes is seeking a Data Engineer to own data onboarding and build scalable, reliable data pipelines that power analytics and data-driven decisions across the organization. The role focuses on ingesting, transforming, and operationalizing data—primarily within Palantir Foundry (our core data platform) and complementary cloud compute. Palantir Foundry experience is a strong plus but not required. If you bring solid data engineering fundamentals in Python/PySpark, SQL, and modern ELT patterns, we’ll support a fast ramp-up on Foundry.

Responsibilities

What Success Looks Like (First 3–6 Months):

Ingest and onboard datasets from internal systems, APIs, databases, files, external providers, and real-time feeds.
Build and operate scalable ETL/ELT pipelines using Python, PySpark, SQL, and Foundry tooling; schedule and automate batch/stream refreshes.
Model and operationalize data (defining entities/relationships) to support analytics and operational applications in collaboration with domain experts.
Ensure trust in data through testing, data quality checks, observability/alerting, lineage, and compliant access controls.
Collaborate with analysts and product teams to translate business requirements into robust data solutions and clear data contracts/SLOs.
Onboard and productionize new data sources with reliable refresh (scheduled or real-time).
Deliver trusted, well-documented datasets consumed by analytics and operational teams.
Key business entities are clearly modeled and discoverable.
Pipelines have meaningful monitoring and alerting, with reduced failures/re

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Engineering Data Backend Frontend DevOps

Key requirements

Ingest and onboard datasets from internal systems, APIs, databases, files, external providers, and real-time feeds.
Build and operate scalable ETL/ELT pipelines using Python, PySpark, SQL, and Foundry tooling; schedule and automate batch/stream refreshes.
Model and operationalize data (defining entities/relationships) to support analytics and operational applications in collaboration with domain experts.
Ensure trust in data through testing, data quality checks, observability/alerting, lineage, and compliant access controls.
Collaborate with analysts and product teams to translate business requirements into robust data solutions and clear data contracts/SLOs.

Jobs at Rimes

1 active role from this employer in the JobMatcher catalog.

All company jobs

About the role

Rimes is seeking a Data Engineer to own data onboarding and build scalable, reliable data pipelines that power analytics and data-driven decisions across the organization. The role focuses on ingesting, transforming, and operationalizing data—primarily within Palantir Foundry (our core data platform) and complementary cloud compute. Palantir Foundry experience is a strong plus but not required. If you bring solid data engineering fundamentals in Python/PySpark, SQL, and modern ELT patterns, we’ll support a fast ramp-up on Foundry.

Responsibilities

What Success Looks Like (First 3–6 Months):

Ingest and onboard datasets from internal systems, APIs, databases, files, external providers, and real-time feeds.
Build and operate scalable ETL/ELT pipelines using Python, PySpark, SQL, and Foundry tooling; schedule and automate batch/stream refreshes.
Model and operationalize data (defining entities/relationships) to support analytics and operational applications in collaboration with domain experts.
Ensure trust in data through testing, data quality checks, observability/alerting, lineage, and compliant access controls.
Collaborate with analysts and product teams to translate business requirements into robust data solutions and clear data contracts/SLOs.
Onboard and productionize new data sources with reliable refresh (scheduled or real-time).
Deliver trusted, well-documented datasets consumed by analytics and operational teams.
Key business entities are clearly modeled and discoverable.
Pipelines have meaningful monitoring and alerting, with reduced failures/re

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: Data Engineer

See how this role matches your resume

Sign in to get an AI match score and personalized feed.

Create account Sign in

More in Data Engineer

Engineering Data Backend Frontend DevOps

More in Data Engineer

Engineering Data Backend Frontend DevOps

More in Data Engineer

Engineering Data Backend Frontend DevOps

Jobs at Rimes

1 active role from this employer in the JobMatcher catalog.

All company jobs

Jobs at Rimes

1 active role from this employer in the JobMatcher catalog.

All company jobs

Data Engineer

Data Engineer

Key requirements

Jobs at Rimes

About the role

Responsibilities

Jobs like this

Key requirements

Jobs at Rimes

About the role

Responsibilities

Jobs like this

Jobs like this

Jobs like this

Jobs at Rimes

Jobs at Rimes