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Dataiku Jobs in Virginia (NOW HIRING)

BAE Systems

Dir I- Data Eng

Falls Church, VA · On-site

$153K - $260K/yr

Ensure robust integration between Snowflake, Dataiku, Power BI, Semarchy, Collibra, and adjacent enterprise systems. * Oversee reliability engineering, monitoring, observability, incident response ...

Tata Consultancy Service Limited

Engineer

Chantilly, VA · On-site

$125K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in Dataiku. • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku. • Ensure solutions align with enterprise data governance, security ...

VT iDirect

Principal Engineer

Herndon, VA · On-site

$170 - $210/hr

AI platforms (Copilot, Dataiku, LLM‑based services) * Workflow automation / orchestration tools * APIs and integration layers * Actively contribute to prototyping, development, and solution ...

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See Virginia salary details

$2.3K

$4.4K

$8.2K

How much do dataiku jobs pay per month?

As of Aug 18, 2026, the average monthly pay for dataiku in Virginia is $4,387.08, according to ZipRecruiter salary data. Most workers in this role earn between $3,225.00 and $4,958.33 per month, depending on experience, location, and employer.

What is a Dataiku?

A Dataiku job typically involves working with Dataiku DSS, a collaborative data science and machine learning platform used for analytics, automation, and AI development. Roles can vary from data engineers and data scientists to machine learning engineers and analytics professionals who use Dataiku to build, deploy, and manage data workflows. Responsibilities may include data preparation, model training, automation, and integrating Dataiku with other enterprise systems. Companies use Dataiku to streamline AI and analytics processes, improving decision-making and operational efficiency. Proficiency in Dataiku, Python, SQL, and machine learning concepts is often required for these roles.

What are the typical day-to-day responsibilities for someone working with the Dataiku platform?

Professionals working with the Dataiku platform spend much of their day building and maintaining data pipelines, collaborating with stakeholders to define business requirements, developing and deploying machine learning models, and ensuring data quality. They also use Dataiku DSS to automate workflows, prepare datasets, and visualize analytical results. Regular communication with data engineers, business analysts, and management is essential to align data projects with organizational goals. The role often involves troubleshooting technical challenges and staying current with platform updates and best practices.

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

To excel as a Dataiku Data Scientist or Platform Specialist, you typically need a strong background in data analysis, machine learning, and programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with the Dataiku Data Science Studio (DSS) platform, plus relevant certifications like Dataiku DSS Associate or Designer, is highly valued. Strong problem-solving skills, effective communication, and teamwork are important soft skills to succeed in this role. These abilities ensure that data solutions are effectively designed, implemented, and communicated within cross-functional teams, driving successful business outcomes.

What does Dataiku do?

Dataiku is a company that provides a data science platform enabling data analysts and scientists to build, deploy, and manage machine learning models and data workflows. It offers tools for data preparation, visualization, and collaboration, often used in environments requiring knowledge of data analytics and programming skills. The platform supports integration with various data sources and programming languages like Python and R.

What are the most commonly searched types of Dataiku jobs in Virginia?

The most popular types of Dataiku jobs in Virginia are:

What are popular job titles related to Dataiku jobs in Virginia?

For Dataiku jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Dataiku jobs in Virginia look for?

The top searched job categories for Dataiku jobs in Virginia are:

What cities in Virginia are hiring for Dataiku jobs?

Cities in Virginia with the most Dataiku job openings:

Dataiku jobs near you
Infographic showing various Dataiku job openings in Virginia as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 74% Physical, 10% Hybrid, and 16% Remote job distribution, with an average salary of $52,645 per year, or $25.3 per hour.

Dir I- Data Eng

BAE Systems

Falls Church, VA • On-site

$153K - $260K/yr

Full-time

Posted 19 days ago

BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

10th of 49 rated military and defense

Job description


BAE Systems is seeking an IT Service Owner - Data & AI Platforms responsible for the strategy, architecture, reliability, security, and full lifecycle management of the enterprise data and AI platform ecosystem. This role serves as the authoritative owner of the technology stack enabling ingestion, transformation, storage, governance, access, and AI/ML platform capabilities. The leader in this role will define the technology roadmap for the enterprise data and AI platforms - powering the company's core data operations through technologies such as Snowflake, Dataiku, Power BI, Semarchy, and Collibra. The Service Owner ensures the platform is modern, scalable, integrated, cost-efficient, and delivers the availability and security required for a regulated defense environment.
Responsibilities
  • Own the end-to-end performance, scalability, and security of the enterprise data and AI platform stack, including Snowflake, Dataiku, Power BI, Semarchy, and Collibra.
  • Establish engineering standards, integration patterns, and architectural guardrails for all platform components.
  • Define and govern the multi-year roadmap for services such as ingestion, ETL/ELT frameworks, orchestration, compute engines, storage layers, cataloging, access control, and observability.
  • Drive modernization initiatives including lakehouse architectures, cloud-native data engineering, containerization, automation, and reliability engineering.
  • Direct platform architecture across batch, micro-batch, and streaming data flows.
  • Ensure robust integration between Snowflake, Dataiku, Power BI, Semarchy, Collibra, and adjacent enterprise systems.
  • Oversee reliability engineering, monitoring, observability, incident response, and change management for all platform services.
  • Maintain strong disaster recovery, platform resiliency, and high-availability designs.
  • Implement zero-trust aligned data access, encryption, masking, and audit logging across all platform technologies.
  • Govern enterprise metadata, lineage, quality, and stewardship through Collibra and Semarchy.
  • Provide clear, executive-level communication of platform investment plans, risks, and architectural decisions.
  • Influence leaders across cybersecurity, infrastructure, engineering, and business teams, including those outside the direct reporting line.
  • Lead, mentor, and develop high-performing engineering, SRE, and platform operations teams.
  • Oversee vendor management and financial stewardship for Snowflake, Dataiku, Power BI, Semarchy, Collibra, and related partners

Competencies
  • Executive presence with the ability to influence senior stakeholders on complex platform decisions.
  • Deep expertise in enterprise data platforms including Snowflake, Dataiku, Power BI, Semarchy, and Collibra.
  • Communication excellence, capable of translating technical platform decisions for non-technical executives.
  • Strong talent-development capability and ability to build engineering organizations.
  • Ability to lead engineering and platform operations teams in large, complex, matrixed enterprises.

Required Skills and Education
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (advanced degree preferred).
  • 12+ years of progressive experience in enterprise data platforms, cloud platforms, MDM, governance, or systems engineering roles.
  • Proven experience leading platform engineering and operations for Snowflake, Dataiku, Power BI, Semarchy, and Collibra.
  • Familiarity with responsible AI, governance frameworks, and MLOps practices.
  • Deep expertise in secure data architectures, identity and access controls, and compliance-aligned platform management.
  • Strong background in software development, systems engineering, or technical program management.
  • Demonstrated capability to develop and execute enterprise-scale platform roadmaps.
  • Proven ability to influence senior leaders and shape decisions across a matrixed environment.

Preferred Skills and Education
  • Experience in highly regulated industries such as defense, aerospace, or government.
  • Experience with large-scale cloud data ecosystems, container orchestration, and observability platforms.

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About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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