Analytics Engineer Visa Sponsorship Jobs in Washington DC
Washington DC draws analytics engineers into federal agencies, defense contractors, and policy-driven tech firms where data infrastructure directly informs government decisions. Major employers include Booz Allen Hamilton, Deloitte, Palantir, and Accenture Federal Services. Many roles require security clearances, making early sponsorship conversations with employers essential before applying.
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Get Access To All JobsCompany Description
When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.
Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.
Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.
Job Description
The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders.
We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.
Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.
Key Responsibilities and Outputs
- Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth.
- Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
- Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact.
- AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
- RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.
Proven Characteristics for Success
- The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota.
- Impact-Focused: You don't just deliver data; you deliver the "so what?"
- AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows.
- Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.
Qualifications
Essential
- Experience: 2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
- dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
- Orchestration Tools: Hands-on experience with Dagster or Airflow.
- SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
- BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
- CRM Knowledge: Familiarity with Salesforce data structures.
Preferred
- Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
- AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
- Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
- Data Modeling: Salesforce-specific data modeling experience.
- Big Data: Experience dealing with large (+1M rows) customer engagement datasets.
Additional Information
The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based.
Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.
Total Rewards @ Turnitin
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.
Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.
In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.
Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values underpin everything we do.
- Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
- Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
- Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
- Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard.
- One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes.
- Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.
Global Benefits
- Remote First Culture
- Health Care Coverage
- Education Reimbursement
- Competitive Paid Time Off
- Self-Care Days
- National Holidays
- 2 Founder Days + Juneteenth Observed
- Paid Volunteer Time Off
- Charitable Contribution Match
- Monthly Wellness or Home Office Reimbursement
- Access to Employee Assistance Program (mental health platform)
- Parental Leave
- Retirement Plan with match/contribution
Seeing Beyond the Job Ad
At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!
Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.
Company Description
When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.
Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.
Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.
Job Description
The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders.
We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.
Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.
Key Responsibilities and Outputs
- Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth.
- Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
- Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact.
- AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
- RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.
Proven Characteristics for Success
- The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota.
- Impact-Focused: You don't just deliver data; you deliver the "so what?"
- AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows.
- Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.
Qualifications
Essential
- Experience: 2–3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
- dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
- Orchestration Tools: Hands-on experience with Dagster or Airflow.
- SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
- BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
- CRM Knowledge: Familiarity with Salesforce data structures.
Preferred
- Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
- AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
- Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
- Data Modeling: Salesforce-specific data modeling experience.
- Big Data: Experience dealing with large (+1M rows) customer engagement datasets.
Additional Information
The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based.
Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.
Total Rewards @ Turnitin
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.
Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.
In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.
Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values underpin everything we do.
- Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
- Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
- Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
- Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard.
- One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes.
- Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.
Global Benefits
- Remote First Culture
- Health Care Coverage
- Education Reimbursement
- Competitive Paid Time Off
- Self-Care Days
- National Holidays
- 2 Founder Days + Juneteenth Observed
- Paid Volunteer Time Off
- Charitable Contribution Match
- Monthly Wellness or Home Office Reimbursement
- Access to Employee Assistance Program (mental health platform)
- Parental Leave
- Retirement Plan with match/contribution
Seeing Beyond the Job Ad
At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!
Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.
Analytics Engineer Job Roles in Washington DC
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Search Analytics Engineer Jobs in Washington DCAnalytics Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Washington DC?
Federal contractors and consulting firms dominate sponsorship in DC. Booz Allen Hamilton, Deloitte, Accenture Federal Services, SAIC, and Leidos regularly hire analytics engineers and have established H-1B sponsorship programs. Technology companies like Palantir and AWS also maintain a significant DC presence. That said, roles tied to federal contracts sometimes require U.S. citizenship or security clearances, which can limit sponsorship eligibility for certain positions.
Which visa types are most common for analytics engineer roles in Washington DC?
The H-1B is the most common visa for analytics engineers in DC, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field like computer science, statistics, or data engineering. Some employers also sponsor L-1B visas for intracompany transfers with specialized knowledge. Candidates already on OPT or STEM OPT frequently fill analytics engineer roles while H-1B petitions are pending.
Which cities in Washington DC have the most analytics engineer sponsorship jobs?
Washington DC is a single city and federal district, not a state with multiple major cities. Most analytics engineer sponsorship activity is concentrated in the District itself, particularly in neighborhoods like NoMa, Capitol Hill, and the central business district where consulting firms and federal agencies cluster. Adjacent Northern Virginia cities like Arlington and McLean also host major employers, though those fall outside DC proper.
How to find analytics engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify DC-based analytics engineer roles where employers are actively sponsoring. Rather than screening hundreds of postings manually, you can search Migrate Mate for analytics engineer positions in Washington DC and see which employers have sponsorship history. Given DC's clearance-heavy market, filtering for roles that explicitly mention sponsorship saves considerable time.
Are there any DC-specific considerations for analytics engineers seeking visa sponsorship?
Washington DC's job market for analytics engineers is heavily shaped by the federal contracting sector, which introduces a complication most other cities don't have: many roles require a security clearance, and sponsoring foreign nationals for clearances is either restricted or significantly delayed. Candidates should prioritize employers whose analytics engineering work is on commercial or non-classified government projects. Universities like Georgetown and George Washington also feed talent into DC's data teams, creating competitive pipelines applicants should be aware of.
What is the prevailing wage for sponsored analytics engineer jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which analytics engineer employers are hiring and sponsoring visas in Washington DC right now.
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