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Dataiku Jobs in Washington (NOW HIRING)

Data Platform Admin, Dataiku Key Responsibilities * Collaborate with cross-functional teams to frame problems, translate business needs into analytical questions, and define success metrics.

New

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 ...

Engineer

Chantilly, VA · On-site

$125K - $135K/yr

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

Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ensuring that all of its US employees are legally eligible to be employed in the United States and ...

Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ensuring that all of its US employees are legally eligible to be employed in the United States and ...

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Engineer big data systems on EMR-on-EC2 and EMR-on-EKS and deliver solutions on analytical platforms such as SageMaker, Domino, or Dataiku. * Participate in data quality monitoring, anomaly detection ...

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Build and engineer big data systems (EMR-on-EC2, EMR-on-EKS) and develop solutions on analytical platforms (SageMaker, Domino, Dataiku) * Participate in data quality monitoring, anomaly detection ...

GenAI Engineer

Rockville, MD · On-site

$116K - $140K/yr

... Dataiku) • Participate in data quality monitoring, anomaly detection, and production incident investigation • Develop AI agent systems using AWS Bedrock and agent frameworks (Strands Agents SDK ...

Dataiku information

See Washington salary details

$2.6K

$5K

$9.3K

How much do dataiku jobs pay per month?

As of Aug 7, 2026, the average monthly pay for dataiku in Washington is $5,011.75, according to ZipRecruiter salary data. Most workers in this role earn between $3,683.33 and $5,666.67 per month, depending on experience, location, and employer.

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 does Dataiku do?

Dataiku is a data science platform that enables data analysts and data scientists to build, deploy, and manage machine learning models and data workflows. It provides tools for data preparation, visualization, and collaboration, often integrating with programming languages like Python and R. Working as a Dataiku professional typically involves understanding data engineering, analytics, and software development processes.

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 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 are popular job titles related to Dataiku jobs in Washington? For Dataiku jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Dataiku jobs in Washington look for? The top searched job categories for Dataiku jobs in Washington are:
Infographic showing various Dataiku job openings in Washington as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $60,141 per year, or $28.9 per hour.

Dataiku Admin L4

Pacer Group

Washington, DC • On-site

Other

Posted 3 days ago

New


Job description

Data Analyst Profile: Data Platform Admin, Dataiku

Key Responsibilities

  • Collaborate with cross-functional teams to frame problems, translate business needs into analytical questions, and define success metrics.
  • Organize data into different data structures to solve business questions.
  • Perform data analysis, transformation, cleansing and calculations on business data using Dataiku.
  • Develop dashboards, reports, and ad hoc analyses using Power BI.
  • Identify trends, anomalies, and opportunities in datasets to inform decision-making.
  • Perform data profiling and ensure data quality, completeness, and trustworthiness.
  • Work closely with data stewards to ensure data definitions and standards are applied across domain.
  • Maintain documentation of datasets, business rules, and KPIs to enable reuse and transparency.
  • Adopt and promote the use of standardized datasets, tools, and visualization patterns established by the Analytics Center of Excellence.
  • Actively participate in domain working groups and Communities of Practice to share learnings and drive analytic maturity.

Required Qualifications

  • 7+ years of experience in data analysis or business intelligence.
  • Proficiency in SQL and one or more BI tools - Power BI, etc.
  • Ability to work with large datasets and perform complex joins, aggregations, and transformations.
  • Strong critical thinking, data storytelling, and communication skills.
  • Experience working with business stakeholders to deliver insights aligned with KPIs and strategy.

Preferred Qualifications

  • Experience with Snowflake.
  • Experience in Dataiku for data manipulation and modeling.
  • Understanding of data governance concepts, such as data lineage, stewardship, and quality frameworks.
  • Exposure to Agile ways of working and experience working within federated analytics environments.