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Entry Data Engineer Jobs in Virginia (NOW HIRING)

E2 Consulting Engineers

Data Entry Clerk

Springfield, VA · On-site

$18 - $20/hr

Data Entry Clerk Job Locations US-VA-Springfield ID VA-6187 Category Administrative/Clerical Type Full Time Work Location Onsite About the Organization E2 Consulting Engineers, Inc. (E2) is a ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Programming languages such as Python(inclusive of libraries that are used in data science e.g ... Establishing and integrating large datasets, data entry , data conditioning and cleaning, data ...

SteerBridge

Senior Data Engineer

Vienna, VA

$135K - $160K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Bachelor's Degree or Above in Systems Engineering, Computer Science or related field. * An active ...

SteerBridge

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Bachelor's Degree or Above in Systems Engineering, Computer Science or related field. * An active ...

SteerBridge

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Bachelor's Degree or Above in Systems Engineering, Computer Science or related field. * An active ...

NewGen

Data Automation Engineer

Arlington, VA · On-site

They are seeking a Data Automation Engineer to support this critical customer mission. The Data ... Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability * BS in ...

BCMC

Data Automation Engineer

Arlington, VA · On-site

Citizenship - Active TS/SCI clearance - Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability - 5+ years of experience in automation engineering, data engineering ...

BCMC

Data Automation Engineer

Arlington, VA · On-site

Citizenship - Active TS/SCI clearance - Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability - 5+ years of experience in automation engineering, data engineering ...

Nwis

Data Automation Engineer

Arlington, VA

Citizenship -ActiveTS/SCIclearance -Abilityto obtainDepartment of Homeland Security (DHS) Entry on Duty (EOD) Suitability -5+ years of experience in automation engineering, data engineering, or ...

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All JobsEntry Data Engineer JobsEntry Data Engineer Jobs in Virginia

Entry Data Engineer information

See Virginia salary details

$10

$19

$28

How much do entry data engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for entry data engineer in Virginia is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is the difference between Entry Data Engineer vs Data Analyst?

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as an Entry Data Engineer, and why are they important?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry-level data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What does an Entry Data Engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.
What are popular job titles related to Entry Data Engineer jobs in Virginia? For Entry Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Data Engineer jobs in Virginia look for? The top searched job categories for Entry Data Engineer jobs in Virginia are:
Entry Data Engineer jobs near you
Infographic showing various Entry Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,157 per year, or $19.3 per hour.
Senior Data Engineer/ Data Engineer

Senior Data Engineer/ Data Engineer

Dominion Energy

Richmond, VA • Hybrid

$105K - $142K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Dominion Energy rating

8.4

Company rating: 8.4 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

18th of 52 rated energy and utility

Job description

Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we're looking for you. You won't just find a job here; you'll find your career. Review the position below and apply today.

We offer a hybrid work schedule (one week in the office, one week of teleworking) to accommodate the need for flexibility.

Military service members and veterans with ranks from E5-E9, W1-CW5, or O3-O6, plus appropriate equivalent combination of education and years of experience as outlined below will be considered for this opportunity. 
At this time, Dominion Energy cannot transfer or sponsor a work visa or employment authorization for this position.
This position does not offer relocation assistance. 

Job Summary

The  Senior Data Engineer and  Data Engineer is responsible for designing, building, maintaining, and optimizing data solutions that collect, store, process, and make data accessible for analytics, reporting, and business decision-making. This role works closely with Data Product Owners, business stakeholders, analysts, and technical teams to develop scalable data pipelines, support data integration initiatives, and ensure the reliability, quality, and performance of enterprise data assets.

Responsibilities include designing and maintaining ETL/ELT processes, ingesting data from various sources including APIs, databases, and flat files, transforming and validating data, and developing efficient SQL queries, stored procedures, and database structures. The Data Engineer supports the implementation of data product backlog items, assists in troubleshooting and resolving data quality and performance issues, and contributes to the development and optimization of cloud-based data warehouse solutions.

Depending on experience level, the role may involve leading complex data engineering initiatives, optimizing data warehouse performance, mentoring junior team members, and driving best practices in data architecture, data modeling, and data integration. The ideal candidate is analytical, quality-focused, and capable of working collaboratively across teams to deliver scalable, reliable, and high-performing data solutions that support organizational goals.

Data Engineer

Key Responsibilities

  • Implement features and enhancements from the data product backlog.
  • Partner with Data Product Owners and business stakeholders to understand business and technical requirements.
  • Assist in building and maintaining scalable ETL/ELT pipelines.
  • Support data ingestion from APIs, relational databases, and flat files.
  • Clean, transform, and validate data to ensure quality and consistency.
  • Develop and optimize SQL queries for reporting and data extraction.
  • Collaborate with data analysts and data scientists to meet analytical requirements.
  • Monitor data workflows and troubleshoot data pipeline issues.
  • Maintain documentation for data processes and technical solutions.
  • Follow data engineering best practices and standards.
  • Learn from and collaborate with senior engineers on enterprise initiatives.
  • Perform ad hoc data analysis and queries to support business needs.

Senior Data Engineer

Key Responsibilities

  • Design and develop scalable ETL/ELT solutions and enterprise data pipelines.
  • Build and optimize data integration processes using Talend and related technologies.
  • Design efficient database structures and implement data modeling best practices.
  • Optimize SQL queries, stored procedures, and data loading performance.
  • Develop and maintain Snowflake cloud data warehouse solutions.
  • Collaborate with business and technical teams to define data requirements and solutions.
  • Troubleshoot and resolve complex data quality and performance issues.
  • Support modernization initiatives involving cloud technologies and data platforms.
  • Mentor junior team members and promote engineering best practices.
  • Ensure data reliability, scalability, and operational excellence..
Required Knowledge, Skills, Abilities & Experience

The knowledge, skills, abilities and experiences that are required for entry into this job include the following:

 Data Engineer 

Required Skills & Experience

  • 2+ years of relevant experience.
  • Understanding of Relational Database Management Systems (RDBMS).
  • Knowledge of data warehousing concepts, including star and snowflake schemas.
  • Familiarity with version control systems such as Git or TFS.
  • Understanding of data modeling principles.
  • Exposure to ETL tools such as Talend, Informatica, or SSIS.
  • Working knowledge of SQL, stored procedures, and database table design.
  • Familiarity with scripting languages such as Python, Shell scripting.

Senior Data Engineer

Required Skills & Experience

  • 5+ years of data engineering experience.
  • Extensive experience with Talend ETL.
  • Advanced SQL skills, including:
  • Stored procedures
  • Database and table design
  • Query optimization
  • ETL performance tuning
  • Strong experience with Snowflake Cloud Data Warehouse.
  • Proficient in SQL for data manipulation, transformation, and querying within Snowflake.
  • Experience with scripting languages such as Python or Shell scripting.
  • Strong analytical and problem-solving skills with the ability to identify patterns and resolve data quality issues.
  • Demonstrated ability to work independently in a fast-paced environment.
  • Strong focus on quality, accountability, flexibility, and achievement of results.

Preferred Qualifications

  • Experience supporting AI/ML or advanced analytics pipelines.
  • Cloud platform experience (AWS, Azure, or GCP).
  • Prior experience influencing enterprise data standards or reference architecture.
  • Experience optimizing cost and performance in cloud data warehouses.
  • Hands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink
  • Experience Data catalog platforms (e.g., Collibra, Informatica IDMC, Alation)
  • Experience with Data Observability Platforms  (e.g., Monte Carlo, Data dog, Atlan)
Education Requirements

Education Level:

Degree or an equivalent combination of education and demonstrated related experience may be accepted in lieu of preferred level of education:

Bachelor

Preferred Discipline(s):  Computer Science, Information Technology

Other disciplines may be substituted for the preferred discipline(s) listed above.

Licenses, Certifications, or Quals Description

Preferred:  Talend Certified, AWS Certified, Microsoft Certified, Azure Data Engineer

Working Conditions
Office Work Environment 76 -100%
Travel Up to 25%
Key Behavioral Expectations ("How We Work"):
  • Delivering at Pace: Acts with urgency to meet deadlines while maintaining quality, prioritizing workload effectively under pressure.
  • Collaborative Teamwork: Actively supports colleagues, shares knowledge freely, and treats others with dignity and respect.
  • Effective Communication: Tailors communication style to the audience, ensuring clarity and transparency in both successes and challenges.
  • Ownership and Adaptability: Takes responsibility for outcomes and welcomes feedback for improvement.
  • Ability to work independently
  • Achievement orientation
  • Self-starter
  • Concern for quality
  • Flexibility
Test Description

No Testing Required

Export Control


Certain positions at Dominion Energy may involve access to information and technology subject to export controls under U.S. law.  Compliance with these export controls may result in Dominion Energy limiting its consideration of certain applicants.

What You'll Get

Expected Hiring Base Salary Range:

Senior Data Engineer $90900 - $118100

 Data Engineer $81,900- $106,400

The expected hiring base salary range is the range we anticipate hiring within for this position. The actual salary offered may vary based on factors such as the selected candidate's qualifications, skills, experience, and work location. This is not intended to represent the full salary range for the position or limit future compensation growth.

At Dominion Energy, we offer excellent plans and programs for employees. Employees are rewarded with a competitive salary and comprehensive benefits package which includes: health, dental, and vision benefits with coverage for families and domestic partners, vacation, retirement plans including 401k contributions and matches, paid holidays, tuition reimbursement, bonus eligibility, sick leave, and disability insurance.   To learn more about our benefits, click here:    dombenefits.com.

Dominion Energy is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin and/or status as a protected veteran or individual with a disability. 

You can experience the excitement of our company - it's the difference between taking a job and starting a career.

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About Dominion Energy

Sourced by ZipRecruiter

We are a leader in the clean energy transition, with a clear strategy to achieve Net Zero carbon and methane emissions. Headquartered in Richmond, VA, we're creating a diverse and inclusive workplace that reflects the communities we serve.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Richmond, VA, US

Year founded

1983

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