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Curiosity Stream Jobs in Virginia (NOW HIRING)

Karsun Solutions, LLC

Lead Data Architect

Herndon, VA · On-site

$160K - $190K/yr

Here at Karsun, the only limit to your potential is the limit of your curiosity. Join Team Karsun ... Architect and implement enterprise data platforms (batch + streaming) optimized for ML, LLMs, and ...

Karsun Solutions, LLC

Lead Data Architect

Herndon, VA · On-site

$160K - $190K/yr

Here at Karsun, the only limit to your potential is the limit of your curiosity. Join Team Karsun ... Architect and implement enterprise data platforms (batch + streaming) optimized for ML, LLMs, and ...

iHeartMedia

Outside Account Executive

Roanoke, VA

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the ...

iHeartMedia

Outside Account Executive

Harrisonburg, VA · On-site

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the ...

iHeartMedia

Outside Account Executive

Winchester, VA · On-site

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the ...

iHeartMedia

Part Time Board Operator

Harrisonburg, VA · On-site

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Here at Karsun, the only limit to your potential is the limit of your curiosity. Join Team Karsun ... Experience with open-source streaming data processing tools like Apache Kafka or Structured ...

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Curiosity Stream information

What is the difference between Curiosity Stream vs Data Analyst?

AspectCuriosity StreamData Analyst
CredentialsNo specific certifications requiredBachelor's degree in data science, statistics, or related field
Work EnvironmentOnline streaming platform, remote or office-basedOffice or remote, working with data and software tools
Industry UsageMedia, education, entertainmentBusiness, finance, marketing, tech
Search IntentContent consumption, streaming servicesData analysis, reporting, insights

Curiosity Stream focuses on providing educational and entertainment content via streaming, while Data Analysts interpret data to help organizations make informed decisions. They operate in different industries and require different skill sets, but both roles are essential in their respective fields.

What are some typical challenges faced by content producers at Curiosity Stream, and how can they be addressed?

Content producers at Curiosity Stream often balance tight production schedules with the need to deliver high-quality, factual, and engaging documentaries. Coordinating with writers, researchers, and post-production teams requires strong organizational and communication skills. To overcome these challenges, it’s important to develop efficient workflows, stay adaptable to shifting project priorities, and foster open communication within the creative team. Embracing feedback and proactively seeking solutions also contribute to a smoother production process and successful content delivery.

What are the key skills and qualifications needed to thrive as a Content Producer at Curiosity Stream, and why are they important?

To thrive as a Content Producer at Curiosity Stream, you need a strong background in documentary storytelling, video production, and research, typically supported by a relevant degree or equivalent experience. Familiarity with editing software like Adobe Premiere Pro, content management systems, and digital distribution platforms is commonly required. Creativity, attention to detail, and strong collaboration skills help you develop compelling content and work effectively with creative teams. These skills are crucial for producing high-quality, engaging educational content that meets the platform’s standards and audience expectations.

What is Curiosity Stream?

Curiosity Stream is a streaming service that specializes in documentaries and non-fiction content focused on science, nature, history, technology, and society. It was founded by John Hendricks, the creator of the Discovery Channel, and offers thousands of on-demand titles catering to viewers interested in educational and factual programming. Curiosity Stream is available worldwide and can be accessed via web browsers, mobile apps, smart TVs, and some streaming devices. Subscribers pay a monthly or annual fee for unlimited access to the content library. The platform is popular among learners, families, and anyone with a passion for knowledge.
What are popular job titles related to Curiosity Stream jobs in Virginia? For Curiosity Stream jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Curiosity Stream jobs in Virginia look for? The top searched job categories for Curiosity Stream jobs in Virginia are:
What cities in Virginia are hiring for Curiosity Stream jobs? Cities in Virginia with the most Curiosity Stream job openings:
Curiosity Stream jobs near you
Infographic showing various Curiosity Stream job openings in Virginia as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 79% In-person, and 21% Remote job distribution.

Sensitive-Data Engineer

Equilibrium Technologies LLC

Chantilly, VA • On-site

$190K - $245K/yr

Full-time

Posted 9 days ago

Job description

Description:

Active Top Secret/SCI Clearance with Polygraph (REQUIRED)


Are you passionate about harnessing data to solve some of the nation’s most critical challenges? Do you thrive on innovation, collaboration, and building resilient solutions in complex environments?


Join a high-impact team at the forefront of national security, where your work directly supports mission success. We're seeking a Data Engineer with a rare mix of curiosity, craftsmanship, and commitment to excellence. In this role, you’ll design and optimize secure, scalable data pipelines while working alongside elite engineers, mission partners, and data experts to unlock actionable insights from diverse datasets.

Requirements:
  • Engineer robust, secure, and scalable data pipelines using Apache Spark, Apache Hudi, AWS EMR, and Kubernetes
  • Maintain data provenance and access controls to ensure full lineage and auditability of mission-critical datasets
  • Clean, transform, and condition data using tools such as dbt, Apache NiFi, or Pandas
  • Build and orchestrate repeatable ETL workflows using Apache Airflow, Dagster, or Prefect
  • Develop API connectors for ingesting structured and unstructured data sources
  • Collaborate with data stewards, architects, and mission teams to align on data standards, quality, and integrity
  • Provide advanced database administration for Oracle, PostgreSQL, MongoDB, Elasticsearch, and others
  • Ingest and analyze streaming data using tools like Apache Kafka, AWS Kinesis, or Apache Flink
  • Perform real-time and batch processing on large datasets in secure cloud environments (e.g., AWS GovCloud, C2S)
  • Implement and monitor data quality and validation checks using tools such as Great Expectations or Deequ
  • Work across agile teams using DevSecOps practices to build resilient full-stack solutions with Python, Java, or Scala

Required Skills

  • Experience building and maintaining data pipelines using Apache Spark, Airflow, NiFi, or dbt
  • Proficiency in Python, SQL, and one or more of: Java, Scala
  • Strong understanding of cloud services (especially AWS and GovCloud), including S3, EC2, Lambda, EMR, Glue, Redshift, or Snowflake
  • Hands-on experience with streaming frameworks such as Apache Kafka, Kafka Connect, or Flink
  • Familiarity with data lakehouse formats (e.g., Apache Hudi, Delta Lake, or Iceberg)
  • Experience with NoSQL and RDBMS technologies such as MongoDB, DynamoDB, PostgreSQL, or MySQL
  • Ability to implement and maintain data validation frameworks (e.g., Great Expectations, Deequ)
  • Comfortable working in Linux/Unix environments, using bash scripting, Git, and CI/CD tools
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes
  • Collaborative mindset with experience working in Agile/Scrum environments using Jira, Confluence, and Git-based workflows