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Remote Data Engineering Apprenticeship Jobs in Reston, VA

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Senior Data Engineer

Herndon, VA ยท Remote

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Senior Data Engineer

Herndon, VA ยท On-site +1

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Senior Data science Engineer - Remote

Reston, VA ยท On-site +1

$110K - $149K/yr

Duties and Responsibilities: โ€ข Develop data solutions in collaboration with other team members and software engineering teams that meet and anticipate business goals and strategies โ€ข Work with ...

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 ...

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 ...

Data Engineer

Arlington, VA ยท On-site +1

$131K - $158K/yr

... data engineering practices and secure DevSecOps integration. This is a fully remote position. Here, your work is more than a job - it's a journey in innovation. With opportunities to work on high ...

Data Engineer

Arlington, VA ยท Remote

$117K - $140K/yr

... data engineering practices and secure DevSecOps integration. This is a fully remote position. Here, your work is more than a job - it's a journey in innovation. With opportunities to work on high ...

Data Engineer

Arlington, VA ยท Remote

$131K - $158K/yr

... data engineering practices and secure DevSecOps integration. This is a fully remote position. Here, your work is more than a job - it's a journey in innovation. With opportunities to work on high ...

Data Engineer

Bethesda, MD ยท On-site +1

$122K - $146K/yr

... and data engineering. * Expertise in SQL: Strong proficiency in developing complex queries ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Bethesda, MD ยท On-site +1

$122K - $146K/yr

... and data engineering. * Expertise in SQL: Strong proficiency in developing complex queries ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Centreville, VA ยท On-site +1

$113K - $136K/yr

Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

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Remote Data Engineering Apprenticeship information

What are the key skills and qualifications needed to thrive as a Remote Data Engineering Apprentice, and why are they important?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are some common challenges faced by remote data engineering apprentices, and how can they be effectively managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is a Remote Data Engineering Apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

What are the most commonly searched types of Data Engineering Apprenticeship jobs in Reston, VA? The most popular types of Data Engineering Apprenticeship jobs in Reston, VA are:
What are popular job titles related to Remote Data Engineering Apprenticeship jobs in Reston, VA? For Remote Data Engineering Apprenticeship jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering Apprenticeship jobs in Reston, VA look for? The top searched job categories for Remote Data Engineering Apprenticeship jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Engineering Apprenticeship jobs? Cities near Reston, VA with the most Remote Data Engineering Apprenticeship job openings:
AWS Cloud Data Engineer

AWS Cloud Data Engineer

System One

Mclean, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago


Job description

Job Title: AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
  • Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
  • Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
  • Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
  • Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
  • Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
  • Ability to obtain a Federal Public Trust clearance.
  • Bachelorโ€™s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
  • Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
  • Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
  • Proficiency in Python, Scala, or Java for data processing and pipeline development.
  • Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
  • Understanding of data modeling concepts for transactional and analytical workloads.
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
  • Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
  • AWS Certified Data Engineer โ€“ Associate certification.
  • AWS Certified Solutions Architect or other relevant AWS certifications.
  • Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
  • Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
  • Familiarity with Git and collaborative development practices.
  • Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
  • Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
  • Understanding of data privacy regulations and compliance frameworks.
  • Experience tuning and optimizing distributed data processing systems.
  • Knowledge of networking, security, and IAM policies related to data engineering workflows.

System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CD1 Ref: #851-Rockville-S1