Data Engineer: Build Scalable Pipelines & Trusted Data

Peregrine Advisors LLC

Washington (District of Columbia)

On-site

USD 115,000 - 165,000

Full time

13 hours ago
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Job summary

Peregrine Advisors LLC is seeking a Data Engineer to design and operate end-to-end data pipelines that move data from sources to people, applications, analyses, and models. You will build ingestion, transformation, and storage components, ensuring accuracy, security, and traceability at scale.

You will collaborate with data scientists, engineers, and governance professionals to maintain data contracts and trustworthy data products across cloud and on‑prem environments.

Qualifications

  • Working foundation in programming and query languages used for data engineering (Python/SQL).
  • Experience with data ingestion, transformation, storage, and data-model design.
  • Understanding batch, streaming, and event-driven processing and data governance concepts.
  • Ability to work with orchestration, testing, deployment, monitoring, and documentation.

Responsibilities

  • Build and operate ingestion and transformation pipelines for diverse data sources.
  • Develop and maintain cloud/on-prem data platforms and serving layers.
  • Ensure data quality, lineage, metadata, and access controls to keep data trustworthy.
  • Collaborate with engineers, analysts, data scientists, and governance specialists.
  • Document data contracts, tradeoffs, and data-product operational aspects.

Skills

Python
SQL
Data engineering
Distributed data systems
ETL/ELT concepts

Tools

Airflow
dbt
Kafka
Spark

Job description

Peregrine Advisors LLC is seeking a Data Engineer to design and operate end-to-end data pipelines that move data from sources to people, applications, analyses, and models. You will build ingestion, transformation, and storage components, ensuring accuracy, security, and traceability at scale.

You will collaborate with data scientists, engineers, and governance professionals to maintain data contracts and trustworthy data products across cloud and on‑prem environments.

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