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Remote Data Modeler Jobs in Washington (NOW HIRING)

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 Architect (2 openings) - IRS Clearance 6-month contract-to-hire Remote, Greenbelt, MD Bachelor ... Lead a large data conversion specific to transforming legacy data models and data sets into the new ...

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 ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Translate business requirements into logical data models to support entity relationships and data ...

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 ...

Showing results 41-60

Remote Data Modeler information

See Washington salary details

$11

$66

$94

How much do remote data modeler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote data modeler in Washington 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.

What skills and qualifications are needed to thrive as a remote data modeler?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a remote data modeler do?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a remote data modeler?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Washington? The most popular types of Data Modeler jobs in Washington are:
What are popular job titles related to Remote Data Modeler jobs in Washington? For Remote Data Modeler jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Washington look for? The top searched job categories for Remote Data Modeler jobs in Washington are:
What cities in Washington are hiring for Remote Data Modeler jobs? Cities in Washington with the most Remote Data Modeler job openings:
Infographic showing various Remote Data Modeler job openings in Washington as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,316 per year, or $66.5 per hour.

Data Engineer II

BlueLabs, Inc.

Washington, DC • On-site, Remote

$95K - $125K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


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.