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Remote Amazon Data Engineer Jobs in Virginia (NOW HIRING)

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... This is a remote position requiring all work be performed in the continental United States. US ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site

$115K - $139K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site

$150K - $250K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Virginia

Remote Amazon Data Engineer information

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

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

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

What are popular job titles related to Remote Amazon Data Engineer jobs in Virginia?

For Remote Amazon Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Engineer jobs in Virginia look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Amazon Data Engineer jobs?

Cities in Virginia with the most Remote Amazon Data Engineer job openings:

Remote Amazon Data Engineer jobs near you

Full Stack Data Engineer

rockITdata

Arlington, VA • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal candidate will have a strong background in both data engineering and software development, with expertise in building end-to-end data solutions. This role offers an exciting opportunity to work on diverse data projects and contribute to the development of innovative data-driven applications. This is a Remote position.
Key Responsibilities
  • Data Ingestion and Integration:
    • Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources.
    • Integrate data from different systems and platforms to create unified datasets for analysis and reporting.
  • Data Storage and Management:
    • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases.
    • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness.
  • Data Processing and Transformation:
    • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats.
    • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
  • Data Modeling and Optimization:
    • Design and implement data models to support analytical and reporting requirements.
    • Optimize data models for query performance, data integrity, and storage efficiency.
  • Software Development and Integration:
    • Build software applications and APIs to expose data services and functionality to other systems and applications.
    • Integrate data engineering workflows with existing software systems and platforms.
  • Monitoring and Maintenance:
    • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems.
    • Conduct regular maintenance activities to ensure the reliability, availability, and scalability of data infrastructure.
  • Documentation and Collaboration:
    • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration.
    • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
  • Expert-level skills in data visualization platforms beyond Tableau and Power BI (e.g. Qlik)
  • Strong understanding of database concepts, data modeling techniques, and SQL programming.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions.
  • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
  • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

Preferred Qualifications
  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams).
  • Familiarity with data governance and security practices for protecting sensitive data.
  • Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Excellent communication skills and the ability to collaborate effectively in a team environment.
#LIREMOTE
Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They're who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.
Know the Why.
Value People Above All Else.
Transparency to a Fault.
Progress, Not Perfection.
Be Good by Doing Good.
Smart People Can Disagree.
Bend but Don't Break.
Represent Your Brand.
Think Differently.
Be Amazing, Be Fearless, Smile, Have Fun!
Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!
rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker's new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.
rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.
rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.

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