Data Engineer Lead

VSE AVIATION INC (US); Augusta (KS); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Background check

Drug testing

Travel 10-25%

Four days onsite per week

Job summary

VSE AVIATION INC (US) in Augusta, KS, seeks an experienced Enterprise Data Engineer Lead to design, build, and operate a next‑generation cloud data lake and lakehouse on site. You will shape the Medallion Architecture and develop pipelines for structured, semi‑structured, and streaming data, collaborating with security, governance, and BI teams.

Ideal candidates have 7+ years in enterprise data engineering, strong SQL, and hands‑on experience with Snowflake, Databricks, Informatica, and Azure

Qualifications

• 7+ years of significant enterprise data engineering experience.
• Strong proficiency in SQL.
• Experience with Snowflake, Microsoft Fabric, and Databricks.
• Data governance, data systems architecture, and data modeling familiarity.

Responsibilities

• Design, implement, and evolve Data Lake / Data Lakehouse architecture.
• Develop scalable ETL/ELT pipelines using cloud-native tools.
• Build Medallion Architecture (Bronze/Silver/Gold) data assets.
• Create data products and semantic layers for BI and analytics.
• Establish data quality, lineage, cataloging, and metadata practices.
• Implement CI/CD and Infrastructure-as-Code for data solutions.
• Collaborate with stakeholders to define data requirements and governance.

Skills

SQL

Snowflake

Databricks

Informatica

Azure Data Factory

Power BI

Medallion Architecture

CI/CD

Infrastructure-as-Code

REST APIs

Kafka

Event Hubs

Data Governance

Data Modeling

Azure

GitHub Actions

Education

Bachelor’s degree

Additional 3 years of work experience in lieu of degree

Tools

Microsoft Fabric

Databricks

Job description

VSE AVIATION INC (US) is seeking an experienced enterprise Data Engineer Lead to build and run a next-generation cloud data lake and lakehouse platform on site in Augusta, KS.

Responsibilities

• Design, implement, and evolve the organization’s enterprise Data Lake / Data Lakehouse architecture
• Create and advance a scalable Medallion Architecture (Bronze, Silver, Gold) for trusted, reusable data assets
• Develop ingestion frameworks for structured, semi-structured, and streaming data sources
• Build scalable ELT/ETL pipelines using cloud-native technologies and orchestration tools such as Informatica and Azure Data Factory
• Design dimensional models, curated data products, and semantic layers for BI and advanced analytics
• Implement data quality, lineage, cataloging, and metadata management best practices
• Optimize data storage, query performance, and workload management
• Establish CI/CD pipelines and Infrastructure-as-Code practices for data engineering solutions
• Partner with business stakeholders and application teams to understand data requirements and deliver scalable solutions
• Define and help enforce enterprise data engineering standards with technical and business partners
• Work with security and governance teams to implement role-based security, data privacy, and compliance controls

Requirements

• Bachelor’s degree in computer science, MIS, engineering, or related field
• Or additional 3 years of specific work experience in lieu of degree
• 7 years of significant experience in an enterprise data engineering role
• Strong professional proficiency in SQL
• Proven technical experience with one or more: Snowflake, Microsoft Fabric, Databricks
• Data Governance, Data Systems Architecture, and Data Modeling

Technologies

• Snowflake, Microsoft Fabric, Databricks
• Informatica, Azure Data Factory
• SQL
• CI/CD, Infrastructure-as-Code
• Power BI, Microsoft Purview
• Azure DevOps, GitHub Actions
• Kafka, Event Hubs
• REST APIs
• Azure, MSFT SQL Server, Oracle
• Golden Gate, Change Data Capture, Data Streaming
• Medallion Architecture (Bronze/Silver/Gold)

Preferred Requirements

• Informatica, Azure Data Factory
• MSFT SQL Server, Oracle
• Microsoft Azure
• Power BI
• Golden Gate / Change Data Capture / Data Streaming
• Aviation/Aerospace ERP
• Structured, Semi-structured, and Unstructured Data Warehousing
• Microsoft Purview
• Azure DevOps or GitHub Actions
• Kafka or Event Hubs
• REST APIs and modern data integration techniques

Additional Information

• Background check and drug testing required
• Travel within the US and internationally between 10-25% of the time may be required
• Must be able to work from a VSE office a minimum of four days per week