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Data Preparation Jobs (NOW HIRING)

Mid Data Engineer

Arlington, VA · On-site

$110K - $180K/yr

Collaborate with engineers, analysts, data scientists, and other stakeholders to support reporting, analytics, and AI/ML data preparation workflows. * Integrate data pipelines into DevSecOps / CI/CD ...

Azure Data Architect

Mclean, VA · On-site

$64.75 - $83.25/hr

Exposure to AI/ML enablement (data preparation, ML-ready architectures) * Snowflake or lakehouse architecture experience Key Responsibilities * Collaborate with Solution & Enterprise Architects to ...

Sr Data Engineer

Farmers Branch, TX · On-site

$110.10K - $132.20K/yr

Performs data requirement analysis and the data preparation process development for targeted data solutions. Assists in designing and building data service infrastructure on multiple data platforms ...

Azure Data Architect

VA · On-site

$64.50 - $83/hr

Exposure to AI/ML enablement (data preparation, ML-ready architectures). * Snowflake or lakehouse architecture experience. Looking forward for your reply.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Experience working with data preparation and data quality Responsibilities: * The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze, design, and deliver ...

Prepare and communicate metrics and context of data team contributions to client delivery routinely by leveraging expertise in Microsoft Office and display oral and written presentation skills.

Prepare and communicate metrics and context of data team contributions to client delivery routinely by leveraging expertise in Microsoft Office and display oral and written presentation skills.

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Data Preparation information

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How much do data preparation jobs pay per hour?

As of May 30, 2026, the average hourly pay for data preparation in the United States is $25.77, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $29.81 per hour, depending on experience, location, and employer.

What is a Data Preparation job?

A Data Preparation job involves collecting, cleaning, structuring, and transforming raw data into a usable format for analysis or machine learning. Professionals in this role ensure data quality by handling missing values, removing duplicates, and standardizing formats. They work with databases, ETL tools, and programming languages like SQL or Python. Data preparation is crucial for accurate analytics, reporting, and AI model performance.

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

To thrive in Data Preparation, you should possess strong analytical skills, attention to detail, and proficiency in managing large datasets, often supported by a background in statistics, mathematics, or computer science. Familiarity with data wrangling tools such as SQL, Python (pandas), or specialized ETL software is typically required, and certifications in data analytics or data engineering are advantageous. Excellent problem-solving abilities, communication skills, and adaptability stand out in this role. These skills ensure data quality, streamline data workflows, and support effective collaboration with analysts and data scientists to drive organizational insights.

What are some typical daily tasks for someone working in Data Preparation?

A Data Preparation professional typically spends their days gathering, cleaning, and organizing raw data from various sources to make it ready for analysis. This involves identifying data discrepancies, standardizing formats, and collaborating with data analysts or engineers to resolve data quality issues. You may also automate parts of the data pipeline, document processes, and troubleshoot issues to ensure data accuracy and reliability. Working closely with cross-functional teams ensures that the data provided meets the needs of different business or research objectives. Mastery of these daily responsibilities enables smoother downstream analysis and a critical foundation for data-driven decision-making.
What are the most commonly searched types of Data Preparation jobs? The most popular types of Data Preparation jobs are:
What states have the most Data Preparation jobs? States with the most job openings for Data Preparation jobs include:
Infographic showing various Data Preparation job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $53,606 per year, or $25.8 per hour.
Data Visualization Developer

Data Visualization Developer

RIVA Solutions Inc.

Reston, VA • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Title: Data Visualization Developer

Location: Remote

Terms: Full Time

Clearance: U.S. Citizenship Preferred; Ability to Obtain Public Trust

Travel: 0-10%

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY.

That's RIVA.
We're a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we've partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don't just develop solutions-we support efforts that strengthen communities and serve the public good.
RIVA's culture is built on four core values: Results, Innovation, Values, and Accountability (R.I.V.A.). They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, employees have the opportunity to grow their skills, contribute ideas, and make an impact from day one-all while supporting missions that matter.

Program Overview

The Data Visualization Developer supports enterprise analytics and reporting initiatives for a Federal civilian agency by developing innovative dashboards, analytics solutions, and data storytelling capabilities that strengthen organizational decision-making and data literacy.

Position Overview

RIVA Solutions is seeking a skilled and detail-oriented Data Visualization Developer to design, develop, and maintain impactful analytics and reporting solutions that improve organizational insight and operational efficiency. The ideal candidate will collaborate with end-users, technical teams, and leadership to create accessible, intuitive, and visually compelling dashboards and reporting environments that support enterprise-wide data initiatives.

Core Responsibilities
  • Present emerging data analytics topics and best practices to stakeholder communities and organizational audiences.
  • Develop and deliver high-value training materials and workshops based on mission and business use cases.
  • Support organizational initiatives focused on strengthening data literacy and advancing data-driven decision-making capabilities.
  • Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions.
  • Partner with end-users to troubleshoot and resolve issues related to dashboards, databases, and data processing scripts.
  • Perform end-to-end data preparation, transformation, and validation workflows.
  • Create intuitive and visually compelling user experiences that effectively communicate analytical insights.
  • Ensure dashboards and reporting solutions meet accessibility and Section 508 compliance standards.
  • Develop and maintain data models to support scalable and efficient reporting environments.
  • Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
  • Continuously improve reporting performance, usability, and visualization standards.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent professional experience.
  • Minimum 5 years of professional experience in data visualization, business intelligence, analytics development, or related technical roles.
  • Strong experience with Python, JavaScript, and SQL.
  • Hands-on experience developing dashboards and reports using Power BI.
  • Understanding of data visualization best practices and data storytelling principles.
  • Experience with UI/UX design concepts for analytical applications and dashboards.
  • Knowledge of data modeling techniques and relational database concepts.
  • Familiarity with Section 508 accessibility compliance standards.
  • Experience with data preparation, transformation, and workflow automation processes.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and presentation abilities.
Preferred Qualifications
  • Experience supporting enterprise-level analytics initiatives.
  • Familiarity with cloud-based analytics or reporting environments.
  • Experience conducting user training or technical workshops.
  • Knowledge of scripting and automation for data processing workflows.
  • Exposure to modern BI governance and data management practices.
Tools, Technologies, and Standards
  • Power BI, Python, JavaScript, SQL, relational databases, and workflow automation tools.
  • UI/UX design principles, accessibility and Section 508 standards, and data storytelling best practices.
  • Cloud-based analytics and reporting environments, dashboard visualization frameworks, and data modeling tools.
Expected Deliverables / Outcomes
  • Interactive dashboards, analytics reports, and visualization solutions supporting organizational decision-making.
  • Training materials, workshops, and presentations focused on data literacy and analytics best practices.
  • Validated data preparation, transformation, and workflow automation processes.
  • Accessible and user-friendly reporting environments aligned with Section 508 standards.
  • Improved reporting performance, usability standards, and stakeholder engagement through modern analytics solutions.
Salary

$130,000

RIVA Benefits
  • Remote work flexibility
  • Opportunity to contribute to impactful, data-driven initiatives
  • Collaborative and innovative work environment
  • Professional growth and development opportunities
  • Competitive compensation and benefits package
  • Paid Time Off / Sick Leave
  • Health, Dental, and Vision Coverage
  • 401(k) Retirement Plan with Company Match
  • Wellness Program Initiatives
  • Additional Workplace Benefits
Equal Opportunity Statement

RIVA Solutions is committed to fostering a diverse and inclusive workplace and encourages applicants from all backgrounds and experiences to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any protected class.