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Contract Microsoft Azure Data Engineer Jobs in Virginia

PCA Data Engineer

Richmond, VA

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Experience with modern data platforms like Snowflake and Microsoft Fabric * Solid understanding of ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

Please Note: This position is contingent upon contract award. The Data Engineer supports the ... Microsoft Azure, or Google Cloud Platform (GCP). * Working knowledge of Python and/or SQL, with ...

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

This position is CONTINGENT upon contract award** The Data Engineer (DE) works with the Sponsor ... Microsoft Certified: Azure Data Engineer Associate * Google Cloud Certified Professional Cloud Data ...

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

This position is CONTINGENT upon contract award** The Data Engineer (DE) works with the Sponsor ... Microsoft Certified: Azure Data Engineer Associate * Google Cloud Certified Professional Cloud Data ...

Data Engineer

Reston, VA

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Showing results 41-60

Contract Microsoft Azure Data Engineer information

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What is a Contract Microsoft Azure Data Engineer?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Virginia?

The most popular types of Microsoft Azure Data Engineer jobs in Virginia are:

What are popular job titles related to Contract Microsoft Azure Data Engineer jobs in Virginia?

For Contract Microsoft Azure Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Contract Microsoft Azure Data Engineer jobs in Virginia look for?

The top searched job categories for Contract Microsoft Azure Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Contract Microsoft Azure Data Engineer jobs?

Cities in Virginia with the most Contract Microsoft Azure Data Engineer job openings:

Contractor

Re-posted 13 days ago


Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Merrifield, VA(Hybrid)
Duration: 12 Months Contract
Responsibilities:
  • Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
  • Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
  • Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
  • Demonstrates a deep understanding of the modeling lifecycle
  • Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
  • Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
  • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
  • Advanced skill in Python and R
  • Advanced skill in SQL and querying (able to pull/transform your own data)
  • Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
  • Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
  • Familiar with Data Engineering concepts
  • Familiar with the use of standard ETL tools and techniques
  • Familiar with the concepts and application of data mapping and building requirements
  • Demonstrates a deep understanding of multiple data related concepts
  • Familiar with Data Integration, Data Governance and Data Warehousing
  • Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis

Desired Qualifications and Education Requirements:
All Data Scientist Roles
  • Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
  • Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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