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Internship Azure Databricks Jobs in Washington (NOW HIRING)

Prior internship, academic project, or professional experience supporting data engineering or ... Databricks SQL, or Grafana. * Experience with or strong interest in designing semantic data ...

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Internship Azure Databricks information

What is the difference between Internship Azure Databricks vs Data Engineer Intern?

AspectInternship Azure DatabricksData Engineer Intern
Required SkillsAzure, Databricks, SQL, PythonSQL, Python, ETL, Cloud platforms
Work EnvironmentCloud-based, data analytics projectsData pipelines, database management
CertificationsAzure certifications beneficialBasic data engineering certifications helpful

Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.

What is an Azure Databricks internship?

An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.

What are the key skills and qualifications needed to thrive as an Azure Databricks intern?

To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.

What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?

As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.
What are the most commonly searched types of Azure Databricks jobs in Washington? The most popular types of Azure Databricks jobs in Washington are:
What cities in Washington are hiring for Internship Azure Databricks jobs? Cities in Washington with the most Internship Azure Databricks job openings:
Infographic showing various Internship Azure Databricks job openings in Washington as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, 2% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Engineer with Security Clearance

ECS

Fairfax, VA • On-site

$145K - $160K/yr

Other

Re-posted 11 days ago


Job description

Job Description Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site. Please Note: This position is contingent upon contract award. The Data Engineer supports the construction and day-to-day operation of Customs and Border Protection (CBP) data pipelines, contributing to the platform's mission of delivering reliable, analytics-ready data to operators and mission partners. Job Responsibilities: * Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel. * Performs data preparation tasks including schema mapping, format conversions, metadata tagging, and movement into bronze, silver, and gold medallion tiers. * Executes baseline quality checks using profiling tools, validation rules, and drift-monitoring alerts to detect abnormalities within lake environments. * Applies approved security, IAM, and data-handling patterns under guidance from senior engineers and cybersecurity personnel to support cybersecurity requirements for operational data handling. * Supports Tier-2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures. * Updates technical documentation, workflow diagrams, and pipeline inventories within SharePoint, Confluence, and GitLab repositories. * Tracks performance indicators including data freshness, pipeline run duration, and feature availability, contributing analytical inputs for engineering decision-making. * Coordinates with developers, platform engineers, and data operations specialists to support routine updates, backlog work, and deployment activities. * Contributes to operational readiness by executing repeatable engineering tasks that maintain pipeline continuity, strengthen data usability, and support enterprise analytics across mission communities. * Travel outside the Northern Virginia area is expected to be 15% or less. * Performs other duties as assigned. Salary Range: $145,000-160,000 Required Skills * US Citizen; Must be able to obtain and maintain a Public Trust determination. * Bachelor's degree in a STEM field - data engineering or computer science preferred. * 3+ years of experience in data engineering, software development, or a closely related technical discipline, with foundational exposure to data pipeline construction, ETL workflows, or cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). * Working knowledge of Python and/or SQL, with familiarity with at least one data orchestration or processing tool such as Apache Airflow, Apache Spark, or AWS Glue. * Strong teaming and communication skills will be required for this position. Desired Skills * Active SECRET security clearance. * Prior internship, academic project, or professional experience supporting data engineering or analytics work in a federal, defense, or intelligence community environment. * Exposure to medallion architecture data lake design patterns, data quality monitoring techniques, or metadata and lineage management practices. * Familiarity with DevSecOps practices, Agile or SAFe development methodologies, or version control and collaboration tools such as GitLab, GitHub, or Confluence. * Experience with data visualization or dashboard reporting tools such as Tableau, Power BI, Databricks SQL, or Grafana. * Experience with or strong interest in designing semantic data interfaces, metadata layers, or API-based data products that enable automated workflows, AI assistants, and emerging agentic AI capabilities. #EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!