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Curiosity Stream Jobs in Virginia (NOW HIRING)

Data Engineer

Mclean, VA · On-site

$142K/yr

Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery ... Curiosity and persistence: digs into messy source data and drives it to consistent outcomes.

Data Engineer with Security Clearance

Mclean, VA · On-site

$115K - $139K/yr

Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery ... Curiosity and persistence: digs into messy source data and drives it to consistent outcomes.

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery ... Curiosity and persistence: digs into messy source data and drives it to consistent outcomes.

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 ...

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 ...

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 ...

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 ...

Own individual work streams within larger enterprise projects, hitting deadlines consistently while ... Curiosity: Demonstrates a self-directed interest in generating original queries and digging into ...

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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Showing results 1-20

Curiosity Stream information

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 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 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 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:

Infographic showing various Curiosity Stream job openings in Virginia as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 79% In-person, and 21% Remote job distribution.

Data Engineer

Bigbear.ai

Mclean, VA • On-site

$142K/yr

Full-time

Posted 18 days ago


Job description

Residency
All applicants must currently reside in the United States.
Overview
BigBear.ai is hiring Data Engineers to build and maintain the source adapters and normalization logic that translate raw data from disparate systems into a common risk-signal schema. This position focuses on reliable ingestion and transformation-turning heterogeneous legacy inputs (APIs, feeds, databases, files, and event streams) into consistent, high-quality signals that downstream scoring and adjudication workflows can trust.
This position is remote but will require travel in the DMV area.
What you will do
  • Build source adapters/connectors to ingest data from APIs, legacy systems, databases, and event streams
  • Develop normalization and mapping logic to translate source-specific fields into the common risk-signal schema (including validation, enrichment, and standardization)
  • Implement ETL/ELT pipelines with strong engineering rigor: testing, observability, error handling, retries, and backfills
  • Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery and downstream processing
  • Partner with data architecture and domain SMEs to define and maintain data contracts, mappings, and lineage from source to normalized signal
  • Ensure data quality and consistency (deduplication patterns, schema evolution handling, and reconciliation against source systems)
  • Optimize pipeline performance and reliability (throughput, latency, and scalable processing patterns)
  • Create and maintain technical documentation for adapters, transformations, and operational runbooks
  • Some travel may be required within the DMV area

What you need to have
  • Clearance: Must maintain an active Top Secret security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience
  • 3-5 years of experience in data engineering, including building production-grade ingestion and transformation pipelines.
  • Strong experience with API integrations and ETL/ELT development in complex environments.
  • Experience integrating heterogeneous and/or legacy systems with inconsistent schemas and data quality.
  • Proficiency in Python or Java for building data services and transformation logic.
  • Solid SQL skills and working familiarity with NoSQL data stores.
  • Experience with REST/API frameworks and building maintainable, well-tested integration services.
  • Graph Database experience
  • Hands-on experience producing/consuming events in Kafka (producers/consumers) or an equivalent event streaming platform
  • IC/DoD experience

Tools & Technical Skills
  • Python or Java
  • REST/API frameworks
  • Kafka producers/consumers
  • SQL and NoSQL databases
  • Cypher or SPARQL
  • Athena
  • Lambda
  • Glue
  • Neo4J
  • Neptune
  • AWS DMS (Database Migration Service)

What we'd like you to have
  • Engineering discipline: writes maintainable, testable code and builds robust pipelines that handle edge cases.
  • Curiosity and persistence: digs into messy source data and drives it to consistent outcomes.
  • Collaboration: works effectively across data architecture, scoring/analytics, and application teams.
  • Operational mindset: builds pipelines that are observable, debuggable, and supportable in production.

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.