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SAIC
SAIC
EnterpriseMarketingSaaS
The supplied profile content for SAIC appears to describe Bitly rather than SAIC. It outlines a cloud-based SaaS platform for link management and QR codes, with URL shortening, dynamic QR codes, branded links, link analytics, UTM campaign tracking, mobile-friendly landing pages, digital business cards, developer APIs, and AI-enhanced features. The product copy targets marketers, developers, and enterprise teams across industries including retail, consumer packaged goods, hospitality, media, healthcare, finance, and education, with an emphasis on integrations, analytics, and enterprise capabilities. This information should be verified before using it to represent SAIC or its hiring activity.
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Azure Data Engineer

Build Azure data pipelines, storage, and datasets for SAIC’s defense and mission technology solutions. Deliver secure, governed data products that support analytics and operations.

USUnited StatesWAWashingtonHybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AzurePythonScalaSparkSQLTerraformVault

Description

  • Build and maintain scalable data pipelines and datasets for analytics and operational insights
  • Manage data ingestion, transformation, and product delivery across Azure services
  • Develop, schedule, and monitor batch and near real-time pipelines in Azure Data Factory
  • Manage Azure Blob Storage access tiers, lifecycle policies, partitioning, and folder structures
  • Design and tune Azure SQL datasets, including schemas, indexes, and query performance
  • Develop dimensional models using star and snowflake schemas, 3NF, normalization, and Data Vault patterns
  • Implement data quality and governance through validation, profiling, lineage, documentation, schema evolution, and data contracts
  • Improve pipeline runtimes, SQL queries, and storage I/O; add alerts, retry logic, and cost controls
  • Work with analytics, product, and operations teams to deliver trusted, secure, performant, documented data products
  • Apply security and compliance controls, including RBAC, data masking, encryption, and key management
  • Share platform best practices and build reusable templates and components

Requirements

  • Bachelor’s degree and five years of experience, or four years of experience in lieu of a degree
  • Ability to obtain and maintain a public trust, which requires U.S. citizenship
  • Hands-on experience with Azure Data Factory pipelines, data flows, linked services, triggers, and parameterization
  • Strong experience with Azure Blob Storage containers, access tiers, lifecycle management, and SAS or managed identities
  • Strong experience with Azure SQL Database or Managed Instance, including schema design, performance tuning, indexing, and query optimization
  • Practical knowledge of star and snowflake schemas, 3NF, and Data Vault concepts
  • Understanding of Kimball and Inmon data warehousing approaches
  • Proficiency with JSON, Parquet, CSV, and Avro
  • Experience managing schema evolution and versioning for these formats
  • Strong SQL skills for complex queries and transformations
  • Python scripting experience preferred; Scala experience is also relevant for transformations, utilities, and automation
  • Experience with Git-based workflows
  • Experience integrating data pipelines with Azure DevOps Repos and Pipelines or equivalent CI/CD tools
  • Demonstrated experience monitoring, logging, alerting, and troubleshooting production data pipelines
  • Preferred: Experience with Azure Synapse Analytics
  • Preferred: Familiarity with Microsoft Fabric
  • Preferred: Experience building Power BI semantic models, incremental refresh, relationships, calculation groups, and DAX
  • Preferred: Experience with Event Hubs, Azure Functions, or Databricks/Spark Structured Streaming
  • Preferred: Experience with Bicep or Terraform and familiarity with ARM templates
  • Preferred: Experience with Microsoft Purview or similar tools

Benefits

  • Equal opportunity employer
  • Mission-focused work serving defense, space, intelligence, and civilian markets

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