ZipRecruiter

Log In

1

Internship Data Processing Jobs in Washington (NOW HIRING)

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

  • Medical

  • Retirement

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

Bethesda, MD · On-site

$122K - $147K/yr

  • Medical

  • Retirement

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 ...

Navy Federal Credit Union

Data Engineer

Vienna, VA · On-site

$114K - $138K/yr

... processing tasks, ensure data quality, and maintain system reliability while gaining a strong ... Yello and WayUp Top 100 Internship Programs * Computerworld Best Places to Work in IT * Newsweek ...

Alluvionic

Data / Operations Support Specialist

Alexandria, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience providing business tool technical support and performing data processing / validation ... an internship during the last 180 days of service to gain valuable civilian career experience ...

next page

Showing results 1-20

All JobsData Processing JobsInternship Data Processing JobsInternship Data Processing Jobs in Washington

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

Analytica

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Retirement

Re-posted 17 hours ago

Job description

Analytica is seeking Data Engineers across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.

The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.

Responsibilities include (but are not limited to):

  • 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 (aligned to expertise level):

  • 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
  • Emerging / Junior Data Engineer:
    • 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
  • Mid-Level Data Engineer:
    • 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
  • Senior Data Engineer:
    • 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
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:

  • 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


About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Powered by JazzHR

3QMztCSYzt