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Analytics Engineer, Unity
- Pay
$120,000–150,000/year — pay source
Effective communication skills and the ability to collaborate with both technical and non-technical COMPENSATION: $120,000 - $150,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingWe are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations.
This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems.
Design and maintain analytics-ready dbt data models for PBM and care navigation
Translate pharmacy benefit and care navigation workflows into auditable data models
Implement automated data quality checks, testing and reconciliation processes
Establish documentation standards, lineage and analytics engineering guardrails
Optimize data models and warehouse performance for large-scale datasets
From the employer’s posting
We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry.
This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems.
Design, develop and maintain scalable, analytics ready data models (primarily in dbt)
Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models.
Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability.
Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability.
continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field.
- Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required).
- Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles.
- Experience building and maintaining production-grade data models, data quality tests, and documentation.
- Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
- Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc.
Qualification wording
3+ years of experience in analytics engineering, data modeling, data warehousing or a related field.
Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required).
Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles.
Experience building and maintaining production-grade data models, data quality tests, and documentation.
Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc.
About Rightway
Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 24, 202642 days ago
- Recorded sightings
- 30
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Rightway is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- BigQuery
- dbt
- Redshift
- Snowflake
- Airflow
- Dagster
Where the posting names them
- Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required). - Advanced SQL proficiency and experience developing data transformations and workflows using python. - Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles.
- Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc. - Experience working within cloud environments, preferably AWS. - Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows.
- Experience building and maintaining production-grade data models, data quality tests, and documentation. - Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. - Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc.
We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities.
- Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space - Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence. - Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models.
- 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field. - Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required). - Advanced SQL proficiency and experience developing data transformations and workflows using python.
- Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. - Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc. - Experience working within cloud environments, preferably AWS.
Your next step
Complete your application on www.rightwayhealthcare.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
ABOUT THE ROLE:
We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry.
This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems.
You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities.
WHAT YOU’LL DO:
- Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space
- Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence.
- Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models.
- Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs.
- Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability.
- Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability.
- Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability.
- Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability.
- Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation.
- Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows.
WHO YOU ARE:
- 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field.
- Strong experience with dbt (core or cloud) and modern analytics engineering best practices (required).
- Advanced SQL proficiency and experience developing data transformations and workflows using python.
- Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles.
- Experience building and maintaining production-grade data models, data quality tests, and documentation.
- Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
- Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc.
- Experience working within cloud environments, preferably AWS.
- Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows.
- Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices.
- Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions.
- Effective communication skills and the ability to collaborate with both technical and non-technical
COMPENSATION: $120,000 - $150,000 annually, in addition to bonus and equity
Compensation offered will be determined by geographic location, experience, and qualifications.
CYBERSECURITY AWARENESS NOTICE
In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment.
ABOUT RIGHTWAY:
Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them.
Since its founding in 2017, Rightway has raised over $300mm from investors including Khosla Ventures, Thrive Capital, Francisco Partners, and Tiger Global. We’re headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs.
HOW WE LIVE OUR VALUES TO OUR TEAMMATES:
We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values:
1) We are human, first
Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding.
2) We redefine what is possible
We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems.
3) We debate then commit
We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team.
4) We cultivate grit
Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity.
5) We seek to delight
Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success.
Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Effective communication skills and the ability to collaborate with both technical and non-technical COMPENSATION: $120,000 - $150,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.