3

Full Time Remote Data Modeler Jobs in Washington, DC

Data Engineer II

Washington, DC · On-site +1

$95K - $125K/yr

Lead the design and implementation of Kimball-style dimensional models and star schema ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

Data Engineer I

Washington, DC · On-site +1

$85K/yr

Optimize model performance (incremental strategies, partitions/clustering, query tuning ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Remote (EST/CST Preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125,000 ... Write and execute complex SQL queries across highly relational data models. * Develop validation ...

Implement data models, schemas, and metadata structures optimized for analytics, machine learning ... Remote Pilot Certification (required) Physical Requirements / Working Conditions * Full-time, 40 ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional ...

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Data Employment Type: Full Time Location: Remote Compensation: $145,000 - $165,000 / year ... Manage source-to-target data mapping between different data models. * Assist in planning, designing ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Develop predictive models including churn, propensity, lead scoring, customer lifetime value ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Develop predictive models including churn, propensity, lead scoring, customer lifetime value ...

Showing results 41-60

Full Time Remote Data Modeler information

See Washington, DC salary details

$11

$66

$94

How much do full time remote data modeler jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for full time remote data modeler in Washington, DC is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.31 per hour, depending on experience, location, and employer.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.
What are popular job titles related to Full Time Remote Data Modeler jobs in Washington, DC? For Full Time Remote Data Modeler jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Full Time Remote Data Modeler jobs in Washington, DC look for? The top searched job categories for Full Time Remote Data Modeler jobs in Washington, DC are:

Data Engineer II

BlueLabs, Inc.

Washington, DC • On-site, Remote

$95K - $125K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the role:

As a Data Engineer II, you will be a key technical contributor working directly alongside the Director of Data to advance the vision and maturity of our data platform. This role is focused on elevating data quality, driving platform modernization, and leading the migration of existing data systems to a Kimball/star schema architecture. You will take ownership of complex, high-impact engineering work — moving from contributor to driving force on data modeling standards, hygiene practices, and the long-term scalability of our data infrastructure.

In this position you will:

  • Partner directly with the Director of Data to translate platform vision into engineering execution
  • Lead the design and implementation of Kimball-style dimensional models and star schema architectures, migrating legacy data systems to a modern, scalable foundation.
  • Own and enforce data hygiene standards across the platform — identifying, documenting, and remediating data quality issues proactively.
  • Design, build, and maintain production-grade data pipelines with a focus on reliability, observability, and maintainability.
  • Develop and champion best practices for data modeling, transformation, and testing across the engineering team.
  • Drive the extraction and codification of business logic from existing systems into well-documented, portable, cloud-agnostic layers.
  • Collaborate with analysts, engineers, and stakeholders to ensure data models meet both current reporting needs and future platform requirements.
  • Provide technical guidance and mentorship to Data Engineer I team members.
  • Contribute to architectural decisions and participate in design reviews, bringing a principled, opinionated perspective on platform direction.
  • Support and improve documentation standards to ensure the codebase and data platform remain well-understood across the team.

What we are seeking:

  • 5+ years of experience in data engineering, with a demonstrated track record of owning and delivering complex data platform initiatives.
  • Deep expertise in dimensional modeling, including Kimball methodology and star/snowflake schema design.
  • Experience leading or significantly contributing to data warehouse migrations or platform modernization efforts.
  • Advanced proficiency with SQL and Python; ability to write production-quality, well-tested, maintainable code.
  • Strong command of dbt, including advanced features such as custom tests, macros, packages, and documentation generation.
  • Hands-on experience with Snowflake & Redshift and modern data stack tooling.
  • A systematic, principled approach to data quality — experience implementing data hygiene frameworks, validation pipelines, and monitoring.
  • Ability to operate with autonomy and drive work forward in ambiguous or evolving problem spaces.
  • Strong communication skills with the ability to articulate technical decisions to both engineering and non-engineering stakeholders.
  • Passion for applying technical skills to social impact work and the ability to thrive in a cross-functional, mission-driven team.
  • Other duties as assigned. 

What We Offer:

BlueLabs offers a friendly work environment and competitive compensation and benefits package including:

  • Salary: $95,000 - $125,000
  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation leave
  • Paid sick, personal, and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture
  • Flexible working hours
  • Remote friendly (within the U.S.)
  • And more!

The salary range for candidates who meet the minimum posted qualifications reflects the Company\'s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site).

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.