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Entry Level Data Engineer Remote Jobs in Richmond, VA

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence as needed Contract Length: 1 Year We are seeking an experienced Data Reporting Analyst/Developer ...

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence as needed Contract Length: 1 Year We are seeking an experienced Data Reporting Analyst/Developer ...

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence as needed Contract Length: 1 Year We are seeking an experienced Data Reporting Analyst/Developer ...

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence as needed Contract Length: 1 Year We are seeking an experienced Data Reporting Analyst/Developer ...

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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Entry Level Data Engineer Remote information

See Richmond, VA salary details

$44K

$128.4K

$175.7K

How much do entry level data engineer remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level data engineer remote in Richmond, VA is $128,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

What is an entry level data engineer remote?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.

What are the key skills and qualifications needed to thrive as an entry level data engineer remote?

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.

What are some common challenges faced by entry level data engineers working remotely, and how can they overcome them?

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

What are the most commonly searched types of Data Engineer Remote jobs in Richmond, VA?

The most popular types of Data Engineer Remote jobs in Richmond, VA are:

What are popular job titles related to Entry Level Data Engineer Remote jobs in Richmond, VA?

For Entry Level Data Engineer Remote jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineer Remote jobs in Richmond, VA look for?

The top searched job categories for Entry Level Data Engineer Remote jobs in Richmond, VA are:

Infographic showing various Entry Level Data Engineer Remote job openings in Richmond, VA as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, 7% Part Time, and 12% Contract. Highlights an 8% In-person, and 92% Remote job distribution, with an average salary of $128,371 per year, or $61.7 per hour.

Data Engineer - snowflake to AWS (W2)

Snowrelic Inc

Glen Allen, VA • Remote

$117K - $140K/yr

Contractor

Re-posted 21 days ago


Job description

Role: Data Engineer 

Location: Remote 

Note: Only USC and GC

Job Description 

We are seeking an experienced Data Migration Engineer to support a Federal client in migrating enterprise data platforms from Snowflake to AWS Cloud services. The ideal candidate will have strong hands-on experience with Snowflake data extraction, AWS data lake and analytics services, and secure data migration methodologies aligned with Federal compliance standards. 

This role involves designing, executing, and validating large-scale data migrations while ensuring data integrity, security, performance, and compliance with Federal regulations. 
 

Key Responsibilities 

  • Design and implement end-to-end data migration strategies from Snowflake to AWS cloud platforms 

  • Extract data from Snowflake using COPY INTO, Snowflake stages, and secure data sharing mechanisms 

  • Migrate data to AWS services including Amazon S3, Redshift, Athena, RDS/Aurora, and Glue Data Catalog 

  • Develop and optimize data pipelines using AWS Glue, Lambda, Step Functions, and Python 

  • Perform data validation, reconciliation, and quality checks post-migration 

  • Convert Snowflake schemas, tables, views, and data types to AWS-compatible formats 

  • Implement incremental and batch migration strategies using Snowflake Streams and Tasks 

  • Ensure compliance with Federal security and data governance standards (FedRAMP, FISMA, NIST) 

  • Optimize data formats (Parquet/ORC) for cost, performance, and scalability 

  • Collaborate with cloud architects, security teams, and stakeholders to meet project milestones 

  • Create technical documentation, migration runbooks, and operational guides 

  • Monitor migration jobs and resolve performance, data consistency, or failure issues 

  • Support post-migration testing, optimization, and production cutover activities 

Required Skills & Qualifications 

Technical Skills 

  • Strong hands-on experience with Snowflake (data unloading, stages, file formats, performance tuning) 

  • Experience migrating data to AWS Cloud, including: 

  • Amazon S3 

  • Amazon Redshift 

  • AWS Glue (ETL & Data Catalog) 

  • AWS Athena 

  • Proficiency in SQL and Python 

  • Experience with data formats: Parquet, ORC, CSV, JSON 

  • Knowledge of AWS IAM, roles, policies, and secure access patterns 

  • Experience with large-scale data migration and data warehousing concepts 

  • Familiarity with CI/CD pipelines and automation for data workflows 

Compliance Requirements 

  • Experience working with Federal or Government clients 

  • Understanding of: 

  • FedRAMP 

  • FISMA 

  • NIST 800-53 

  • Knowledge of data encryption (at rest and in transit) and audit logging 

  • Ability to follow government change management and documentation standards 

Preferred Qualifications 

  • AWS Certified (Solutions Architect, Data Analytics, or Developer) 

  • Snowflake SnowPro Certification 

  • Experience with Terraform or CloudFormation 

  • Prior experience supporting data lake modernization projects 

  • Experience with PII/PHI data handling in regulated environments 

Education 

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field 

  • Equivalent work experience may be considered 

Clearance Requirement 

  • Active or ability to obtain Federal clearance (Public Trust / Secret based on project needs) 

Nice-to-Have Skills 

  • AWS DMS (indirect Snowflake use cases) 

  • Apache Airflow or managed workflow services 

  • Data governance and metadata management tools