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Internship Data Cleaning Jobs in Virginia (NOW HIRING)

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA

$131K - $158K/yr

Support data cleaning, standardization, classification, and tagging activities. * Collaborate with ... Coursework, internship, project, or professional exposure to data migration or system-modernization ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Support data cleaning, standardization, classification, and tagging activities. * Collaborate with ... Coursework, internship, project, or professional exposure to data migration or system-modernization ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Support data cleaning, standardization, classification, and tagging activities. * Collaborate with ... Coursework, internship, project, or professional exposure to data migration or system-modernization ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis ... or AI through work, academic, internship, or project experience. * Interest in aviation ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis ... or AI through work, academic, internship, or project experience. * Interest in aviation ...

Booz Allen

$62K - $141K/yr

The Summer Games is an innovative internship program that attracts some of the nation's best and ... Experience with data exploration, data cleaning, data analysis, data visualization, or data mining

Posted today

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$65 - $90/hr

Support data cleaning, standardization, classification, and tagging activities. * Collaborate with ... Coursework, internship, project, or professional exposure to data migration or ...

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Internship Data Cleaning information

What is an internship data cleaning?

An Internship Data Cleaning position involves assisting organizations in organizing, cleaning, and preparing their data for analysis. Interns in this role typically use software tools or programming languages to identify and correct errors, remove duplicates, and standardize formats within datasets. This foundational work ensures that data is accurate and reliable for further analysis or reporting. Such internships are a great way for students or recent graduates to gain practical experience in data management and analytics.

What are the key skills and qualifications needed to thrive as an internship data cleaning professional, and why are they important?

To thrive as an Internship Data Cleaning professional, you need a basic understanding of data management, attention to detail, and familiarity with database concepts, often supported by coursework in data analysis or statistics. Proficiency with tools like Microsoft Excel, Google Sheets, and basic knowledge of SQL or Python for data manipulation is typically required. Strong organizational skills, problem-solving ability, and effective communication help interns stand out in this role. These competencies are crucial to ensure data accuracy, support analytical tasks, and maintain data quality for business or research needs.

What typical challenges might I encounter during a data cleaning internship, and how can I effectively address them?

During a Data Cleaning internship, you may encounter challenges such as dealing with large volumes of inconsistent or incomplete data, identifying and correcting errors, and understanding the context behind various data sets. Effective strategies include developing a solid grasp of data validation techniques, becoming proficient with tools like Excel, Python, or SQL, and regularly communicating with team members to clarify data ambiguities. Being proactive in asking questions and seeking feedback will help you grow your technical skills and contribute more efficiently to the team’s data quality goals.

What is the difference between Internship Data Cleaning vs Data Analyst Intern?

AspectInternship Data CleaningData Analyst Intern
Required SkillsBasic data cleaning, Excel, SQLData cleaning, analysis, visualization
Work EnvironmentEntry-level, supervised tasksProject-based, collaborative
Industry UsageCommon in tech, finance, healthcareBroader, includes reporting and insights
CertificationsNone typically requiredOptional certifications in data analysis

Internship Data Cleaning focuses on basic data preparation tasks, while Data Analyst Interns handle more comprehensive analysis and reporting. Both roles are entry-level and often found in similar industries, but Data Analyst Interns typically require broader skills and responsibilities.

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

The most popular types of Data Cleaning jobs in Virginia are:

What are popular job titles related to Internship Data Cleaning jobs in Virginia?

For Internship Data Cleaning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Data Cleaning jobs in Virginia look for?

The top searched job categories for Internship Data Cleaning jobs in Virginia are:

What cities in Virginia are hiring for Internship Data Cleaning jobs?

Cities in Virginia with the most Internship Data Cleaning job openings:

Internship Data Cleaning jobs near you

Junior Data Engineer (DEA)

Hatch IT

Arlington, VA

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

hatch I.T. is partnering with Expression to find a Junior Data Engineer (DEA). See details below:

About The Role:

Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on replacing fragmented legacy investigative and case management capabilities with a centralized, secure, scalable, and integrated ecosystem.

Working alongside experienced data engineers and other technical team members, the Data Engineer 2 will support data ingestion, transformation, validation, migration, and integration activities. This is an early-career opportunity for an individual with foundational data engineering knowledge who is interested in developing hands-on experience supporting a large-scale Federal technology modernization program.

Clearance: Secret level required and willingness to pursuit TS/SCI.
Location: Arlington, VA. The program is primarily onsite at DEA Headquarters.

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:
  • Assist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
  • Support migration of legacy data into the modernized DEA investigative and case management ecosystem.
  • Assist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.
  • Help ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.
  • Contribute to data migration activities, including mapping source data to target systems and executing migration scripts.
  • Support data cleaning, standardization, classification, and tagging activities.
  • Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.
  • Monitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.
  • Participate in validation activities and help document migration results and identified data-quality issues.
  • Participate in Agile ceremonies and support data engineering activities throughout development sprints.
  • Help document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.
Qualifications:
  • Bachelor's degree in STEM fields and 0-1 years of professional experience.
  • Foundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.
  • Working knowledge of SQL, including basic queries, joins, and aggregations.
  • Familiarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.
  • Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.
  • Understanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.
  • Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.
  • Foundational understanding of data profiling, validation, and data quality.
  • Strong communication and documentation skills.
  • Ability and willingness to learn in a fast-paced, evolving technical environment.
Preferred Qualifications:
  • Hands-on or coursework experience with AWS, Azure, or Google Cloud Platform.
  • Exposure to Hadoop, Spark, or other distributed-processing technologies.
  • Familiarity with Power BI, Tableau, Looker, or similar visualization tools.
  • Familiarity with Git or similar version-control systems.
  • Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
  • Exposure to Agile development methodologies.
  • Coursework, internship, project, or professional exposure to data migration or system-modernization activities.

Benefits:

Expression offers competitive salaries and benefits, such as:

  • 401k matching

  • PPO and HDHP medical/dental/vision insurance

  • Education reimbursement

  • Complimentary life insurance

  • Generous PTO and holiday leave

  • Onsite office gym access

  • Commuter Benefits Plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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