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Data Automation Internship Jobs in Washington (NOW HIRING)

Expression Networks

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Familiarity with Python for data manipulation or automation tasks; introductory-level experience is ...

Expression

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Familiarity with Python for data manipulation or automation tasks; introductory-level experience is ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Familiarity with Python for data manipulation or automation tasks; introductory-level experience is ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Familiarity with Python for data manipulation or automation tasks; introductory-level experience is ...

Angarai

ANGARAI-Internship

College Park, MD · On-site

$14.75 - $19.75/hr

Business / Research / Market/ Data Analysis * Accounting / Finance / Taxation * Information ... Automation / CyberSecurity * Proposal / Technical Writing * Marketing / BusinessDevelopment ...

Clearpath

Accounting and Automation Analyst

Arlington, VA · On-site

$75 - $110/hr

The Accounting & Automation Analyst supports core accounting operations while actively using AI ... Data Analytics, or a related technical field * 1-2 years of accounting experience (internships and ...

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

... internship, lab, or academic project experience considered) * Scripting ability in Python (or a similar language) for data manipulation and automation * Familiarity with relational or NoSQL data ...

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Data Automation Internship information

What is a data automation internship?

A Data Automation Internship is a temporary position, often for students or recent graduates, where you assist organizations in streamlining and automating data processes. Interns typically work with tools and programming languages like Python, SQL, or R to create scripts, workflows, or dashboards that reduce manual data handling. The internship provides hands-on experience with data management, automation tools, and process optimization, helping you develop practical skills for a career in data analysis or engineering. These roles often involve collaborating with data analysts, engineers, and other team members to identify opportunities for automation and improve data efficiency.

What are the key skills and qualifications needed to thrive as a data automation intern, and why are they important?

To thrive as a Data Automation Intern, you need a solid understanding of data analysis, programming (often Python, SQL), and basic knowledge of automation concepts, usually backed by coursework in computer science or a related field. Familiarity with data visualization tools, workflow automation platforms (like Alteryx or UiPath), and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate on team projects. These abilities ensure efficient data processes, accurate results, and seamless integration with broader data initiatives.

What are some common challenges faced during a data automation internship, and how can interns effectively overcome them?

During a Data Automation Internship, common challenges include working with unfamiliar automation tools, ensuring data quality, and integrating automated workflows with existing systems. Interns can effectively overcome these by actively seeking guidance from team members, participating in code reviews, and dedicating time to learn the organization's preferred technologies. Regular communication with mentors and asking clarifying questions early helps resolve issues quickly and fosters a supportive learning environment.

What is the difference between Data Automation Internship vs Data Analyst?

AspectData Automation InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often requires some experience
Work EnvironmentInternship setting, often in tech or finance companies, focusing on automation projectsFull-time role in various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing automated data pipelines and toolsCommon in finance, marketing, healthcare, and other data-driven sectors

While a Data Automation Internship focuses on gaining hands-on experience in automating data processes, a Data Analyst is responsible for interpreting data, creating reports, and supporting decision-making. Internships are entry-level and temporary, whereas Data Analyst roles are more permanent and require a broader skill set.

What are the most commonly searched types of Data Automation jobs in Washington?

The most popular types of Data Automation jobs in Washington are:

What are popular job titles related to Data Automation Internship jobs in Washington?

For Data Automation Internship jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Automation Internship jobs in Washington look for?

The top searched job categories for Data Automation Internship jobs in Washington are:

What cities in Washington are hiring for Data Automation Internship jobs?

Cities in Washington with the most Data Automation Internship job openings:

Data Automation Internship jobs near you
Infographic showing various Data Automation Internship job openings in Washington as of June 2026, with employment types broken down into 13% Full Time, 67% Part Time, 7% Temporary, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Junior Data Engineer (DEA)

Expression Networks

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Key responsibilities

  • Assist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets.

  • Support data migration activities, including mapping source data to target systems and executing migration scripts.

  • Monitor pipeline performance, troubleshoot operational issues, and support data validation and quality checks.

Job description

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. Key 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.

Required 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 up to $10,000/yr
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee

About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, 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 culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our 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.
We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.
Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

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