Required Experience:
- Minimum 5yrs experience within Electronic Warfare. Leverage spectrum monitoring tools to identify friendly and rogue signals.
- Demonstrated experience with spectrum coordination to minimize EW impacts on friendly networks.
Requirements:
Education: Military EW School or Gov equivalent or equivalent experience.
Clearance: Secret
Read LessRequired Experience:
- Minimum 5yrs experience working with computer, electronics, and cellular systems.
- Demonstrated experience working with both Linux and Windows OS.
- Demonstrated Experience with wide variety of technology to include camera systems, ICS/SCADA, IoT, and RF devices.
Requirements:
Education: Associates degree or equivalent experience.
Meet DoDM 8140.03 IAT I requirements.
Clearance: Secret
Read LessRequired Experience:
- Minimum 5yr experience with repairing, trouble shooting, and maintaining electronics and computers systems.
- Demonstrated experience with local and wide area networks, wireless and digital services, peripheral equipment, off-line message preparation equipment, telephone switch modernization, alarm systems, digital signage, electronic access control systems, SCADA devices, electro-magnetic door locks and camera systems.
- Demonstrated experience with wide variety of technology to include camera systems, ICS/SCADA, IoT, and RF devices.
Requirements:
Education: Bachelor's degree or equivalent experience.
Meet DoDM 8140.03 IAT I requirements.
Clearnce: Secret
Read LessRequired Experience:
- Minimum 5yrs experience in cyber range or computer test bed environments.
- Minimum 5yrs of supervising experience.
- Minimum 2yrs experience conducting Army and Joint Cyber Training.
- Demonstrated experience collaborating with the leadership team and subject matter experts to identify training needs and create effective training objectives.
- Working knowledge of OT/IT technologies, cellular systems, networking, and IT management and implementation for training scenarios.
Requirements:
Education: Bachelor's degree or equivalent experience.
Meet DoD 8570.01-M IAT II requirements.
Clearnace: TS/SCI
Read LessVergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation
enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and
data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML
use cases. You will partner closely with data architects, analytics engineers, data scientists, business
stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient data solutions.
This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse
Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration
programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and
shaping engineering standards across the team.
Key Responsibilities:
Pipeline Design & Development
• Design and build robust, reusable, parameter-driven ingestion and transformation pipelines
using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
• Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2
using Delta Lake, Parquet, and structured streaming patterns.
• Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated
SQL Pool, Azure SQL, Teradata) where appropriate.
• Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.
Data Modeling & Warehousing
• Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics
consumption.
• Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving
data patterns.
• Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including
distribution keys, partitioning, and clustered column store indexes.
Platform Engineering & DevOps
• Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines,
ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
• Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log
Analytics, and KQL.
• Define and enforce coding standards, code review practices, branching strategies, and release
management.
Migration & Modernization
• Lead or contribute to legacy-to-cloud migrations — e.g., Informatica PowerCenter to Azure Data
Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
• Perform workload assessment, capacity planning, and cost modeling for target-state
architectures.
• production incident response for critical pipelines.
Required Qualifications:
• Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers,
parameterization, mapping data flows, and all three Integration Runtime types (Azure, Selfhosted, SSIS).
• Strong Experience in Data Bricks and PySpark.
• Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless
SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric
(Warehouse, Lakehouse, OneLake).
• Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC +
ACLs, lifecycle management, security).
• Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service
principals), and private networking (VNet integration, private endpoints).
• Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
• Advanced SQL — window functions, CTEs, query optimization, execution plan analysis,
performance tuning.
• Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing
(pytest).
• Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.
Required Qualifications:
• Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers,
parameterization, mapping data flows, and all three Integration Runtime types (Azure, Selfhosted, SSIS).
• Strong Experience in Data Bricks and PySpark.
• Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless
SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric
(Warehouse, Lakehouse, OneLake).
• Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC +
ACLs, lifecycle management, security).
• Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service
principals), and private networking (VNet integration, private endpoints).
• Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
• Advanced SQL — window functions, CTEs, query optimization, execution plan analysis,
performance tuning.
• Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing
(pytest).
• Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.
Preferred Qualifications:
• 5+ years of data warehouse development experience.
• 5+ years of data modeling experience using ERWIN or similar tools.
• 2+ years of experience with Azure Data Factory and Snowflake.
• Medicaid Domain Knowledge is a plus
The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms.
Primary Responsibilities:
• Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks.
• Build and optimize scalable data processing solutions using Python.
• Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
• Write and optimize SQL and stored procedures across relational platforms such as Teradata.
• Participate in cloud migration and modernization initiatives within Azure-based architectures.
• Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness.
• Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security.
• Support production operations, incident resolution, and root-cause analysis.
• Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.
This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that support Medicaid analytics, federal reporting, and enterprise decision support.
The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms.
Job/Position Description
Design, develop, and maintain enterprise level Dashboards/Reports using Build and optimize scalable data processing solutions using PythonSupport Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)Write and optimize SQL and stored procedures across relational platforms such asTeradataParticipate in cloud migration and modernization initiatives within Azure-based architecturesSupport production operations, incident resolution, and root-cause analysisParticipate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHubRequired Qualifications
5+ years of Reporting and Dashboard with a focus on enterprise data warehousing5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.5+ years of Python development for data engineering and automation3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related fieldStrong analytical, problem-solving, and troubleshooting skillsPreferred Qualifications
Experience supporting
Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)Data modeling experience in enterprise data warehouse environmentsScripting experience (PowerShell, Bash) for automation and orchestrationExperience designing or consuming APIs (REST) within data platformsFamiliarity with data quality frameworks, reconciliation, and audit supportAzure certifications related to data engineering or analytics Read Less