ZipRecruiter

Log In

2

Remote Big Data Analytics Jobs in Washington (NOW HIRING)

Leidos

Data Scientist

Bethesda, MD · On-site +1

... focused big data and predictive analytics. You will be delivering cutting edge data science ... The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... Gathers and documents business data, information, physical, and analytics requirements; Develops ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

... big data analytics, and all-source research and analysis. Our technical capabilities directly ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

System One

HR Data Analytics

Merrifield, VA · Remote

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

... big data analytics, and all-source research and analysis. Our technical capabilities directly ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

previous pagenext page

Showing results 21-40

All JobsBig Data Analytics JobsRemote Big Data Analytics JobsRemote Big Data Analytics Jobs in Washington

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.
What are the most commonly searched types of Big Data Analytics jobs in Washington? The most popular types of Big Data Analytics jobs in Washington are:
What are popular job titles related to Remote Big Data Analytics jobs in Washington? For Remote Big Data Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Big Data Analytics jobs in Washington look for? The top searched job categories for Remote Big Data Analytics jobs in Washington are:
What cities in Washington are hiring for Remote Big Data Analytics jobs? Cities in Washington with the most Remote Big Data Analytics job openings:
Remote Big Data Analytics jobs near you

Joint Data Mgt/Architecture (PID 1397)

EXECUTIVE PERSONNEL SERVICES INC

Washington, DC • Remote

$58 - $62/hr

Other

Re-posted 2 days ago

Job description

Job Location: Washington, DC (Remote)

Description:

This resource is responsible fororchestrating and overseeing data exchange efforts across DOD/VA for the SingleCommon Federal EHR modernization effort. Act as a subject matter expert in datamanagement, focused on the operationalization of the FEHRM's Data ManagementPlan from a technical perspective. Advise on the application of data managementprincipals and concepts into real-world usage as it pertains to the EHR. Ensurethe successful formation and organization of data governance working groups byidentifying data management issues for attention. Engage with technicalstakeholders to identify potential data management and interoperability issuesand propose technical solutions for remedy. Coordinate with data architectureteams to understand issues, risks and opportunities. Propose strategies tomitigate data-related issues and risks. Maintain awareness of data architecturedesign decisions made by the Departments and the effect on the Federal EHR.Monitor the status of the Departments efforts to translate user requirementsinto enterprise data models.

Basic Qualifications:

  • 5+ years of professional work experience
  • Well-versed in data management, governance best practices (DMBOK preferred), and architecture
  • Understanding of technical documentation, to include DODAF/BPMN process diagrams, conceptual/ logical/physical data models, and other database related artifacts
  • Able to plan, design, and oversee deployment of complex enterprise-wide or large-scale data governance initiatives
  • Experience supporting program/project planning and milestone development
  • Experience developing executive-level briefings and in formulating courses of action to address technical challenges
  • Able to formulate a strategy for the analysis of a large data set and develop use cases
  • Able to develop a methodology for how data is to be maintained to include requirements for security, privacy, retention, and efficient use
  • Able to develop an artifact detailing a high-level strategy and low-level functional steps for a data migration plan
  • Bacheloras Degree in Information Systems, Computer Science, Engineering, Business or related discipline. An additional 8 years of relevant experience may be substituted for degree requirements

PreferredQualifications:

  • Experience in the VA and/or DoD
  • Experience implementing Electronic Health Records

Experience with the data analytics and/or dataarchitecture for an enterprise that leveraged Big Data using a Cloud ServiceProvider

Apply