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Remote Azure Synapse Analytics Jobs in Washington

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Collaborate with the analytic teams to conduct data quality investigations, improve automation and ... Factory, Synapse, Azure Data Lake, etc * Familiarity with Agile software delivery including ...

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... Azure data platforms, and expertise in metadata management, data quality, lineage, security ...

... Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or ... Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or ...

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 ...

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst ... Proficiency in utilizing Microsoft Azure for data storage, processing, and analytics. * Advanced ...

Build and maintain cost allocation frameworks to track cloud spend (AWS, Azure, GCP) by team ... Limited Geography Remote - This is a remote position but located within a specific geography. Must ...

Build and maintain cost allocation frameworks to track cloud spend (AWS, Azure, GCP) by team ... Limited Geography Remote - This is a remote position but located within a specific geography. Must ...

Build and maintain cost allocation frameworks to track cloud spend (AWS, Azure, GCP) by team ... Limited Geography Remote - This is a remote position but located within a specific geography. Must ...

Associate Quality Analyst

Washington, DC · On-site +1

$60K - $107K/yr

If not, open to remote outside of these areas Position Summary As an Associate Quality Analyst on ... Evaluate emerging technology trends, Azure cloud tools, and intelligent testing frameworks to ...

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Remote Azure Synapse Analytics information

What is a remote Azure Synapse Analytics professional?

A Remote Azure Synapse Analytics professional is an expert who works with Microsoft Azure Synapse Analytics—a cloud-based analytics service—while working remotely, often from home or another location outside of a traditional office. Their responsibilities typically include designing, developing, and managing data integration, analytics, and big data solutions using Synapse. They collaborate with data engineers, data scientists, and business stakeholders to deliver insights and ensure the efficient processing of large datasets. Remote professionals use cloud tools to access resources and communicate with teams, making location flexibility possible.

What are the key skills and qualifications needed to thrive as a remote Azure Synapse Analytics professional?

To thrive as a Remote Azure Synapse Analytics professional, you need strong expertise in data engineering, SQL, data warehousing concepts, and a solid understanding of Azure cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools such as Azure Synapse Studio, Power BI, Azure Data Factory, and relevant Microsoft certifications like Azure Data Engineer Associate is typically required. Excellent problem-solving abilities, strong communication skills, and the ability to work independently are crucial soft skills for this remote role. These competencies are vital for efficiently designing, implementing, and managing data solutions that drive business intelligence and decision-making in a distributed work environment.

What are some common challenges faced by professionals working remotely with Azure Synapse Analytics, and how can they be addressed?

Professionals working remotely with Azure Synapse Analytics often face challenges related to secure data access, collaboration with distributed teams, and managing complex cloud resources. To address these, it's important to establish robust remote access protocols, such as using VPNs and role-based access controls. Regular communication using collaboration tools and thorough documentation of data workflows help maintain team alignment. Additionally, automating resource management and monitoring via Azure tools can improve efficiency and reduce the risk of errors in a remote setting.

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

AspectRemote Azure Synapse AnalyticsData Engineer
Required CredentialsAzure certifications, SQL, data warehousing skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, remote, collaborative teamsOn-premises or cloud, often remote, technical focus
Industry UsageData analytics, business intelligence, cloud solutionsData pipeline development, database management, ETL processes

Remote Azure Synapse Analytics specialists focus on designing and managing data analytics solutions using Azure cloud services, while Data Engineers build and maintain data pipelines and infrastructure. Both roles require similar technical skills and certifications but differ in their primary focus and daily tasks.

What are the most commonly searched types of Azure Synapse Analytics jobs in Washington?

The most popular types of Azure Synapse Analytics jobs in Washington are:

What are popular job titles related to Remote Azure Synapse Analytics jobs in Washington?

For Remote Azure Synapse Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Azure Synapse Analytics jobs in Washington look for?

The top searched job categories for Remote Azure Synapse Analytics jobs in Washington are:

What cities in Washington are hiring for Remote Azure Synapse Analytics jobs?

Cities in Washington with the most Remote Azure Synapse Analytics job openings:

Data QA Engineer

Ex Parte, Inc

Bethesda, MD • On-site, Remote

$122K - $146K/yr

Full-time

Re-posted 10 days ago


Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
Responsibilities
  • Take ownership of end to end data quality
    • Understand and Contribute to the event model design
    • Build and automate testing frameworks around data ingestion pipelines.
    • Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle.
    • Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines.
    • Track data issues and work with team leads from discovery to resolution.
  • Collaborate with the analytic teams to conduct data quality investigations, improve automation and tools.
  • Review current tools and enhance them to help with data integrity.

Qualifications
Minimum Qualifications
  • 5+ years of work experience in QA, preferably in data or relevant space
  • Demonstrable knowledge, experience, skill, and proficiency with the following:
    • Scrum/Agile methodologies
    • SDLC
    • Python (at least reading)
    • SQL
  • Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing
  • Must be self-motivated, able to work independently, and thrive in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide variety of functional areas
  • Excellent verbal and written communication skills

Preferred Qualifications
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Use of one of the following vendor reporting solutions: PowerBI or Tableau
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git).

Additional Information
All your information will be kept confidential according to EEO guidelines.