Data Engineer

Argonne National Laboratory

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Remote

Quick summary

Work type: Remote
Location: Lemont, IL
Employment: Full-time
Posted: 19 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$116k $218k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$208,293.

Based on 240 similar postings.

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About Argonne National Laboratory

Argonne National Laboratory is a multidisciplinary science and engineering research center sponsored by the U.S. Department of Energy, conducting research in energy, environment, and national security. Industry: Scientific Research & National Laboratories

Argonne National Laboratory currently has 13 open roles on FindRole.

Listed pay typically runs $69,750–$108,810 across 7 roles with salary data.

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At a glance

TL;DR · Data Engineer

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JOB TITLE: Data Engineer As a Software Engineer at the Professional Technical 4 level, you will serve as a senior data engineer designing and building enterprise data solutions to support reporting, analytics, and automation across the laboratory. You will design scalable data pipelines, integrations, and data models while helping to architect the enterprise data warehouse and cloud platforms. Your daily work involves translating complex business needs into technical solutions, improving data governance, and exploring AI-assisted approaches to data engineering. You will utilize Microsoft Azure technologies including Fabric, Synapse, Data Factory, and Databricks, alongside Microsoft SQL Server, Power BI, and Informatica. The role requires expertise in APIs, cloud architectures, and data cataloging tools like Microsoft Purview to solve complex data modeling and transformation problems within a large-scale enterprise environment.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Microsoft Azure Databricks Fabric Synapse Data Factory SQL Server Power BI Informatica ETL ELT CI/CD APIs Data Modeling Data Governance Microsoft Purview Data Warehouse Source Control

What you'll do

Design and build scalable data pipelines, integrations, and enterprise data models.
Architect and evolve the enterprise data warehouse and cloud data platforms.
Translate complex business needs from stakeholders into effective technical data solutions.
Apply AI-assisted approaches to improve data modeling, transformation, and automation.
Implement software engineering best practices including testing, source control, and CI/CD.
Improve data quality, governance, reliability, and overall system performance.
Define technical standards and the long-term strategic direction of the data platform.
Provide technical project leadership and guidance to other engineers.

What we're looking for

Must provide proof of U.S. citizenship.
Minimum of a Bachelor's degree and 6+ years of related experience, or a Master's degree and 4+ years, or equivalent.
Experience with Microsoft Azure data technologies, including Fabric, Synapse, Data Factory, or Databricks.
Experience with Microsoft SQL Server and enterprise data warehouse environments.
Experience with Power BI, semantic models, or other business intelligence platforms.
Experience with Informatica or similar ETL/ELT platforms.
Familiarity with Microsoft Purview or other data governance and cataloging tools.
Experience with APIs, cloud or hybrid data architectures, and enterprise application integration.

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