Lead Data Engineer

• Lead development of Azure-based data platforms
• Build and optimize scalable data pipelines
• Work on real-time/streaming data solutions
• Improve performance and query efficiency

• Candidates without real-time Data Vault implementation experience
• Profiles with only support/maintenance work and no hands-on development
• No strong experience in Snowflake, SQL, Python/PySpark
• No experience with Kafka/EventHub streaming
• Candidates lacking Azure data platform experience (ADF, ADLS, Databricks)
• No experience in query optimization/performance tuning
• Only theoretical knowledge of DBT, Snowpipe, Tasks/Triggers
• Non-local candidates or candidates unwilling to attend in-person final interview in Chicago
• Less hands-on coding, more managerial/coordination profiles
• Candidates without CI/CD automation exposure
• Weak understanding of Snowflake architecture concepts (Virtual Warehouse vs Serverless Compute)

Required Skills:

• Strong experience with:

• Snowflake / Snowpipe

• SQL

• Python / PySpark

• Hands-on experience in:

• Data Engineering

• Data Modeling techniques

• Data Vault implementation (real project experience required)

• Experience with:

• Kafka streaming

• Azure Event Hub

• Streaming data pipelines

• Strong Azure stack knowledge:

• ADLS

• ADF

• Databricks

• CI/CD automation

• Knowledge of:

• Snowflake Triggers & Tasks

• Virtual Warehouse vs Serverless Compute

• Query Optimization

• DBT and its advantages over other tools

Leidos + Chicago, IL + $92,300-166,850 per year Description About Leidos Leidos is a Fortune 500 company aimed at embracing and solving some of the world's most pressing challenges. Through science and technology, Get fam…, © 2026 Careerjet All rights reserved