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Internship Data Processing Jobs in Washington (NOW HIRING)

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... processing concepts through coursework, internships, or projects • Understanding of basic data modeling and ETL/ELT concepts • Ability to work within established pipelines and contribute to data ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... processing tasks. * Familiarity with technical documentation best practices and writing ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... processing tasks. * Familiarity with technical documentation best practices and writing ...

Navy Federal Credit Union

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Implement data processing tasks, ensuring data quality and system reliability. Work under minimal ... FORTUNE 100 Best Companies to Work For 2026 Yello and WayUp Top 100 Internship Programs 2025 ...

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Internship Data Processing information

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

AspectInternship Data ProcessingData Analyst
Required CredentialsHigh school diploma or ongoing college courseworkBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in office or remoteFull-time professional environment, corporate or agency
Employer & Industry UsageInternship programs in various industries, entry-levelEstablished role in finance, marketing, healthcare, etc.
Common Search & ComparisonOften compared for entry-level data rolesMore advanced, requiring experience and skills

Internship Data Processing typically involves entry-level tasks like data entry, cleaning, and basic analysis under supervision, suitable for students or recent graduates. Data Analysts perform comprehensive data analysis, interpret results, and support decision-making, requiring more experience and technical skills. The internship serves as a stepping stone toward a full Data Analyst role.

What are the most commonly searched types of Data Processing jobs in Washington? The most popular types of Data Processing jobs in Washington are:
What cities in Washington are hiring for Internship Data Processing jobs? Cities in Washington with the most Internship Data Processing job openings:
Internship Data Processing jobs near you
Data Engineer

Data Engineer

Analytica

Washington, DC • On-site

$129K - $155K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
Analytica is a leading consulting and information technology solutions provider to public sector organizations. They are seeking Data Engineers to support the design and development of scalable data platforms and analytics solutions.
Responsibilities:
• Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
• Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
• Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
• Collaborate with stakeholders to translate business requirements into technical data solutions
• Ensure data quality, integrity, and performance through testing, monitoring, and optimization
• Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
• Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
• Apply data governance, security, and metadata management best practices
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
• Experience working across cloud (AWS, Azure) or hybrid data environments
• Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
• US Citizenship and must be able to obtain and maintain security clearance
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
• Foundational knowledge of SQL and Python (or similar language)
• Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
• Understanding of basic data modeling and ETL/ELT concepts
• Ability to work within established pipelines and contribute to data workflows with guidance
• Hands-on experience building and maintaining data pipelines using Databricks and Spark
• Strong SQL and programming skills (Python and/or Scala)
• Experience designing data models and optimizing data processing workflows
• Ability to independently deliver data solutions and troubleshoot performance issues
• Deep expertise in Databricks, Spark, and large-scale data processing architectures
• Proven ability to design and implement scalable data platforms and lakehouse architectures
• Strong experience with performance tuning, data reliability, and cost optimization
• Ability to lead technical design, mentor team members, and influence data engineering best practices
• Experience working cross-functionally to define data strategy and architecture
Preferred:
• Experience with Delta Lake and lakehouse architecture pattern
• Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
• Experience with data governance, cataloging, and lineage tools
• Experience mentoring junior engineers or leading technical initiatives (senior level)
• Relevant certifications in data engineering or big data technologies particularly in Databricks
Company:
Analytica has built a team of exceptionally dedicated analysts, associates and public sector subject matter experts. Founded in 2009, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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