Data Engineer

SAIC

. Build and maintain reliable, scalable data pipelines and datasets supporting analytics and operational insights .

Posted 10/9/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines using Azure services, with a strong focus on data quality, governance, and performance optimization. Proficient in designing data models and implementing security practices to ensure reliable and compliant data products.

Highest-signal resume keywords

Azure Data FactoryAzure Blob StorageAzure SQLData Quality and GovernanceSQL Query Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSchema DesignPerformance TuningData TransformationJSONParquetCSVAvroPythonSQL

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Azure DevOpsPower BIEvent HubsAzure FunctionsDatabricksTerraformBicep

Industry Keywords

Data WarehousingKimballInmonData VaultRBACData MaskingEncryption

Tech Stack

Tools & technologies

AzurePythonScalaSparkSQLTerraformVault

About the role

Key responsibilities & impact

Build and maintain reliable, scalable data pipelines and datasets supporting analytics and operational insights
Own ingestion, transformation, and data product delivery across Azure services
Design, develop, schedule, and monitor batch and near real-time data pipelines in Azure Data Factory
Implement and manage Azure Blob Storage strategies, including access tiers, lifecycle policies, partitioning, and folder design
Design, manage, and optimize Azure SQL datasets, including schema design, indexing, and performance tuning
Create and maintain dimensional models using star/snowflake, 3NF, normalization/denormalization, and Data Vault patterns
Implement data quality and governance capabilities, including validation, profiling, lineage, documentation, schema evolution, and data contracts
Optimize pipeline runtimes, SQL queries, and storage I/O; implement alerting, retry logic, and cost controls
Collaborate with analytics, product, and operations teams to deliver trusted, secure, performant, and well-documented data products
Apply security and compliance practices including RBAC, data masking, encryption, and key management
Contribute best practices, templates, and reusable components across the data platform

Requirements

What you’ll need

BS and 5 years experience (4 years experience in lieu of degree)
Ability to obtain and maintain a public trust requiring U.S. Citizenship
Hands-on experience with Azure Data Factory (ADF): pipelines, data flows, linked services, triggers, parameterization
Strong experience with Azure Blob Storage: containers, access tiers, lifecycle management, SAS/Managed Identities
Strong experience with Azure SQL (Database/Managed Instance): schema design, performance tuning, indexing, query optimization
Practical experience with star and snowflake schemas, 3NF, and Data Vault concepts
Understanding of Kimball vs. Inmon data warehousing approaches
Proficiency with JSON, Parquet, CSV, Avro
Experience handling schema evolution and versioning for these formats
Strong SQL skills for complex querying and transformations
Scripting experience in Python (preferred) or Scala for data transformations, utilities, and automation
Experience with Git-based workflows
Experience integrating data pipelines with Azure DevOps (Repos, Pipelines) or equivalent CI/CD tools
Proven experience with monitoring, logging, alerting, and troubleshooting data pipelines in production environments
Desired: Experience with Azure Synapse Analytics
Desired: Familiarity with Microsoft Fabric
Desired: Experience building Power BI semantic models, incremental refresh, relationships, calculation groups, and DAX
Desired: Experience with Event Hubs, Azure Functions, or Databricks/Spark Structured Streaming
Desired: Experience using Bicep or Terraform; familiarity with ARM templates
Desired: Experience with Microsoft Purview or similar tools

Benefits

Comp & perks

Equal Opportunity Employer
Mission-driven work serving defense, space, intelligence, and civilian markets