Data Engineer

Leidos Holdings, Inc.

Harrisburg, PA, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$73,450.0 - $132,775.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Extract Transform Load (ETL) Data Warehousing Apache Hadoop Python (Programming Language) SQL Databases Cloud Platform System Apache Spark Data Pipelines Databricks

Job description

We are seeking a Data Engineer to build scalable data pipelines, manage ETL processes, and support enterprise analytics platforms. Responsibilities

Develop and maintain ETL/ELT pipelines
Build scalable data processing workflows
Integrate structured and unstructured data sources
Optimize data performance and reliability
Collaborate with analytics and business teams

Requirements

SQL and Python expertise
Spark, Hadoop, or Databricks experience
ETL pipeline development knowledge
Cloud data platform experience
Data warehousing concepts understanding

Experience

Mid-Level: 3+ years
Senior-Level: 5+ years

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:18 min

Exploring the Apache Spark layer architecture

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan · World Congress 2026 Europe

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

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PySpark - Combining Machine Learning & Big Data thumbnail