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Remote Azure Synapse Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Architect

Springfield, VA · On-site +1

$99K - $225K/yr

Experience with Azure Synapse Analytics, Azure Data Factory, ADLS, LogicApps, and DevOps pipelines ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Sentara Healthcare

Pharmacy IT Solutions Manager

Norfolk, VA · On-site +1

$63 - $74/hr

Experience with Databricks, Azure Synapse, SQL, and advanced Microsoft Excel required. * Experience ... For positions that are available as remote work, Sentara Health employs associates in the following ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

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Remote Azure Synapse information

What is the difference between Remote Azure Synapse vs Data Engineer?

AspectRemote Azure SynapseData Engineer
Required CredentialsAzure certifications, SQL, data warehousingData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, collaborative, project-focusedOn-premises or cloud, technical, data pipeline development
Industry UsageData analytics, business intelligence, cloud solutionsData infrastructure, ETL processes, data modeling

Remote Azure Synapse specialists focus on implementing and managing data analytics solutions using Azure Synapse Analytics, often working within cloud environments. Data Engineers build and maintain data pipelines and infrastructure, which may involve Azure but also other platforms. While both roles require SQL and cloud knowledge, Azure certifications are common for both. The key difference lies in Azure Synapse's focus on analytics and data integration, whereas Data Engineers have a broader scope in data infrastructure development.

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Senior Data Engineer -- Azure / Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

$123K - $163K/yr

Full-time

Re-posted 2 days ago

Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring a Senior Data Engineer to build and maintain the Azure-based data architecture that powers fraud analytics for a federal Office of Inspector General (OIG). You will design integrated, flexible, and secure pipelines that move source data into a modern cloud environment and make it available for audits, investigations, and machine learning.
You’ll work code-first — source control, CI/CD, and reusable modular design are core to how this team operates. If you enjoy owning architecture end to end and partnering with data scientists to make ML pipelines fast and reliable, this role is for you.What You’ll Do
  • Design, implement, and maintain an efficient, secure, stable, and flexible data architecture, with all assets managed via source control
  • Migrate source data to Azure Data Lake Storage (ADLS) and build/maintain ELT/ETL pipelines in Azure Synapse and Azure Machine Learning (SDK V1 and V2)
  • Review and improve existing architecture and pipelines — periodic audits to address bottlenecks, deprecated dependencies, and architecture drift
  • Establish quality controls, error handling, logging, and validation checks across all pipelines
  • Normalize entity attributes (addresses, phone numbers, and other common fields)
  • Optimize ingestion, processing, and storage across diverse datasets, including modern columnar formats such as Parquet
  • Build self-service capabilities so analysts can query and export data for investigations and audits
  • Partner with data scientists to ensure the architecture efficiently supports machine learning workloads
  • Author and maintain SOPs governing authoring, validation, publishing, execution, and monitoring of all pipelines and assets
  • Produce detailed documentation — data dictionaries, ER diagrams, and pipeline process maps
  • Stay current with emerging AI tooling and contribute to efforts evaluating automation and LLM-assisted capabilities
Required Qualifications
  • 5 years of hands-on experience in each of:
    • Maintaining SQL databases and conducting advanced operations in SQL and T-SQL
    • Designing, implementing, and maintaining ELT/ETL processes in cloud-based data analytics environments
  • 3 years of hands-on experience in each of:
    • Working in Azure Synapse and Azure Machine Learning with the modern data stack — certifications preferred (DP-203 or equivalent)
    • Manipulating data in Python (Pandas required; PySpark/Polars preferred; experience with reusable, modular code preferred)
Preferred
  • Implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or IaC tooling)
  • Implementing source control and CI/CD workflows
  • Demonstrated familiarity with AI coding assistants and LLM integration patterns
  • Azure certification (DP-203 or equivalent)
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed