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Virtual Data Analytics Extern Jobs (NOW HIRING)

Database Architect

Woodlawn, MD · On-site

$66.25 - $85.25/hr

Design, implement, and manage virtual data warehouses in Snowflake. * Write complex SQL queries for data analysis, transformation, and reporting. * Optimize queries; manage caching, clustering, and ...

IL · On-site

$98K - $104K/yr

I2X Technologies is seeking a Data Analytics & Visualization Engineer to support ongoing activities ... virtual teams. * Ability to obtain interim Secret DoD Security clearance before the start date.

Data Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

Independently deliver and maintain formal classroom and virtual instruction on tool-agnostic AI/ML ... Familiarity with basic data analytics, LLMs, and AI/ML related concepts * Understanding of ...

Virtual Interview Type: Contract Work authorization: Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to ...

Data Analytics Instructor

Hampton, VA · On-site

$65K - $118K/yr

Independently deliver and maintain formal classroom and virtual instruction on tool-agnostic AI/ML ... Familiarity with basic data analytics, LLMs, and AI/ML related concepts * Understanding of ...

Showing results 21-40

Virtual Data Analytics Extern information

See salary details

$10

$58

$83

How much do virtual data analytics extern jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for virtual data analytics extern in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is the difference between Virtual Data Analytics Extern vs Data Analyst?

AspectVirtual Data Analytics ExternData Analyst
CredentialsTypically pursuing or holding relevant certifications or degrees in data analytics, statistics, or related fieldsUsually requires a bachelor's degree in data science, statistics, or related disciplines
Work EnvironmentRemote, often part-time or internship-based, with flexible hoursCan be remote or on-site, full-time or part-time depending on the employer
Industry UsageCommon in educational, internship, or training programs within data analytics fieldsWidely used across industries like finance, healthcare, marketing, and technology

The Virtual Data Analytics Extern role is typically an internship or training position aimed at gaining practical experience remotely, often for students or early-career professionals. In contrast, Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting business decisions. While both roles require knowledge of data tools and analytics, the extern position is more focused on learning and development, whereas the analyst role involves ongoing operational responsibilities.

More about Virtual Data Analytics Extern jobs
What cities are hiring for Virtual Data Analytics Extern jobs? Cities with the most Virtual Data Analytics Extern job openings:
What are the most commonly searched types of Data Analytics Extern jobs? The most popular types of Data Analytics Extern jobs are:
What states have the most Virtual Data Analytics Extern jobs? States with the most job openings for Virtual Data Analytics Extern jobs include:
What job categories do people searching Virtual Data Analytics Extern jobs look for? The top searched job categories for Virtual Data Analytics Extern jobs are:
Infographic showing various Virtual Data Analytics Extern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

$160K - $180K/yr

Other

Posted 21 days ago


Job description

Job Description Centurion is currently seeking a Database Architect to join their team in Woodlawn, MD. Position Description: Utilize the AWS database and data processing services, including Amazon RDS, AuroraDB, DynamoDB, Redshift, ElastiCache, EMR, and Neptune. Configure, launch, and manage EMR clusters, optimizing for performance and cost, and integrating with various data sources.

Architect scalable, high-performance, and secure database solutions. Integrate databases with other AWS services such as Lambda, S3, EC2, and Glue. Utilize AWS security best practices (IAM, encryption, VPC, security groups) and compliance requirements for data storage.

Design backup, disaster recovery, high availability, and failover solutions (Multi-AZ, read replicas). Troubleshoot for AWS related issues and incidents. Design, implement, and manage virtual data warehouses in Snowflake.

Write complex SQL queries for data analysis, transformation, and reporting. Optimize queries, manage caching, clustering, and leveraging auto-scaling to handle workloads. Ensure compliance with SSA security, privacy, and data management policies.

Brief management, customer, team, or vendors using written or oral skills at appropriate technical level for audience. Provide guidance/support to other junior/mid-level developers. All other duties as assigned or directed.

Skills Requirements: Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field; Masters or Doctorate degree may substitute for required experience 7+ years as a Database Architect. Experience in AWS database and data processing services, including Amazon RDS, AuroraDB, DynamoDB, Redshift, ElastiCache, EMR, and Neptune. Knowledgeable in AWS security best practices (IAM, encryption, VPC, security groups) and compliance requirements for data storage.

Strong troubleshooting skills for AWS related issues and incidents. Skilled in optimizing queries, managing caching, clustering, and leveraging auto-scaling to handle workloads. Proficient in automation and scripting (CloudFormation, Terraform, AWS CLI, Python, Bash, PowerShell) for database and workflow management.

*Selected candidate must be able to obtain and maintain a public trust clearance** *Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week** Skilled in both relational and NoSQL database management, data modeling, normalization, and schema design. Experienced in configuring, launching, and managing EMR clusters, optimizing for performance and cost, and integrating with various data sources. Skilled in designing backup, disaster recovery, high availability, and failover solutions (Multi-AZ, read replicas).

Advanced skills in writing complex SQL queries for data analysis, transformation, and reporting. AWS Experience: o Proven ability to architect scalable, high-performance, and secure database solutions, with proficiency in query optimization, indexing, caching, and performance tuning using AWS tools. o Experienced in integrating databases with other AWS services such as Lambda, S3, EC2, and Glue.

o Adept at securing AWS clusters, managing IAM roles, implementing encryption, and monitoring jobs using AWS tools (CloudWatch, CloudTrail). Snowflake Experience: o Proficient in designing, implementing, and managing virtual data warehouses in Snowflake, with a strong understanding of micro-partitions. o Experienced in schema design, normalization, and building efficient data structures in Snowflake.

o Familiar with data ingestion, transformation, and loading using Snowflake's features and integration tools. o Knowledgeable in Snowflake's role-based access control, data encryption, and security best practices. o Experienced in integrating Snowflake with BI tools (Tableau, Power BI) and using Python for data pipelines and machine learning applications How To Stand Out From The Crowd (Desired Skills) Experience identifying requirements, researching options, designing, and implementing solutions at a leadership level on project work.

Experience scripting in a Linux environment to automate ETL solutions and data migration jobs. Understand and apply quality techniques and practices (automated unit testing, Test Driven Design/Development, performance analysis, continuous integration) Ability to assist with architectural tactical thinking, information solutions and road maps to drive architectural recommendations. Detail oriented and committed to consistently completing repetitive production-like tasks on-time and error-free.

Prior experience working in a federal agency or public sector environment. Effective communication skills for working with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to translate technical concepts into non-technical terms for business stakeholders.

Ability to manage multiple projects, prioritize tasks, and deliver within deadlines.