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Data Innovations Jobs in Washington (NOW HIRING)

Clarity Innovations

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation ... Our mission-first software and data engineering platform modernizes data operations, utilizing ...

GRVTY

Data Scientist

Chantilly, VA · On-site

A seamless group of contractor and customer personnel work to create innovations that supply customer groups with the data sets, models, algorithms, software, and infrastructure they need to increase ...

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How much do data innovations jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data innovations in Washington is $38.98, according to ZipRecruiter salary data. Most workers in this role earn between $19.61 and $52.39 per hour, depending on experience, location, and employer.

What is a Data Innovations job?

A Data Innovations job typically involves developing, managing, and optimizing data processes, tools, or systems to improve data quality, accessibility, and insights. Professionals in this role work with data platforms, automation, and analytics to drive innovation and efficiency in business operations. Responsibilities may include data integration, workflow automation, and collaborating with stakeholders to enhance data-driven decision-making.

What are the typical daily responsibilities of someone working in Data Innovations?

Professionals in Data Innovations roles spend their days developing and testing new data models, exploring emerging technologies, and collaborating with cross-functional teams to solve unique business challenges. They may gather and cleanse data, run experiments to validate hypotheses, and communicate insights to both technical and non-technical stakeholders. Regular tasks can also include researching industry trends and identifying ways to improve processes with data-driven solutions. This dynamic environment requires continuous learning and creative thinking, making every day both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Data Innovations position, and why are they important?

To thrive in a Data Innovations role, you need a strong background in data analytics, statistical modeling, and creative problem-solving, often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like AWS Certified Data Analytics, is highly valuable. Outstanding communication, adaptability, and collaboration are crucial for translating complex findings into actionable business solutions. These skills enable you to identify, design, and implement innovative data-driven strategies that create a competitive advantage for organizations.

What are popular job titles related to Data Innovations jobs in Washington? For Data Innovations jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Innovations jobs in Washington look for? The top searched job categories for Data Innovations jobs in Washington are:
Data Innovations jobs near you
Infographic showing various Data Innovations job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,082 per year, or $39 per hour.

Data Engineer

Clarity Innovations

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Re-posted 14 days ago

Job description

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation's interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Data Engineer
Mid/Senior Level
Position Overview
DANDIE (Data Acquisition Network for Delivery, Ingestion and Exploitation) is a new program that will serve as the strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, DANDIE will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command.
In this role, you will contribute directly to the success of the DANDIE platform by applying your expertise to a mission-critical problem space. You will work alongside product, engineering, data, platform, and security teams to deliver scalable, secure capabilities aligned with mission priorities.
Key Responsibilities
  • Design and build scalable, fault-tolerant pipelines to ingest data from diverse internal and external sources and transport it through multiple enclaves
  • Implement schema validation, transformation, enrichment, and error handling mechanisms
  • Collaborate with platform, data, security, DevSecOps and CDS engineers to ensure end-to-end data flow reliability
  • Troubleshoot and resolve defects across distributed systems and ingestion pipelines

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • Professional data engineering experience in a real-world team environment. 4+ years for mid level and 7+ years for senior level.
  • Strong experience with Spark and SQL.
  • Experience with two other major data processing frameworks (e.g., Kafka, NiFi, Airflow, Trino etc.)
  • Experience with lakehouse architecture
  • TS/SCI clearance preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire. U.S. citizenship required

Nice to Have Skills
  • Experience with Cross Domain Solutions (CDS) or secure data transfer patterns
  • Experience working in Kubernetes environments
  • Experience working with APIs, microservices, and distributed systems
  • Experience supporting systems in regulated or DoD environments

Work Environment
  • Government program environment
  • Must be located in the DMV area (DC, MD, VA)
  • Hybrid schedule with on-site support expected (minimum 2 days per week)

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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