Data Engineer at Boulder Care

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Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

150000.0

Posted On

08 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, SQL, ETL, ELT, Cloud Data Warehouses, BigQuery, Snowflake, Redshift, Data Modeling, Schema Design, Data Integration, Python, Data Governance, HIPAA Compliance, Business Intelligence

Industry

Hospitals and Health Care

Description

About Boulder Boulder Care is an award-winning digital clinic for addiction medicine, recognized for both innovation and high quality of patient care. Founded in 2017 by CEO Stephanie Strong, our mission is to improve the lives of people with substance use disorders through compassionate, evidence-based care. We provide Boulder patients with a fully virtual, multidisciplinary care team—including medical providers and peer recovery specialists—who deliver personalized treatment, including medication-assisted treatment (MAT) and ongoing support. Our approach is grounded in clinical excellence, patient-centered care, and a commitment to reducing barriers to recovery. Boulder partners with leading health plans, employers, and community organizations to ensure that our services are accessible and covered for the people who need them most. Named by Fortune as one of the Best Workplaces in Healthcare, Boulder fosters a culture of kindness, respect, and meaningful work that delivers outstanding patient outcomes and moves the addiction medicine industry forward. About this role Boulder Care is seeking a skilled and experienced Data Engineer to design, build, and maintain the data infrastructure that powers our analytics and decision-making. The ideal candidate will have a strong background in data architecture, pipeline development, and cloud technologies, along with a passion for healthcare innovation. This role is key to ensuring data reliability, scalability, and accessibility across the organization—enabling our analytics, clinical, and operational teams to make evidence-based decisions that drive Boulder Care’s growth. Essential Functions Data Infrastructure & Architecture - 30% Design, build, and maintain scalable data pipelines to support analytics, operations, and reporting. Develop and manage data models, schemas, and warehouse structures (e.g., in BigQuery) to ensure data reliability and performance. Collaborate with analytics and engineering teams to implement efficient ETL/ELT processes that align with business and clinical workflows. Continuously optimize data architecture for scalability, cost-efficiency, and ease of use. Collaboration & Cross-Functional Partnership - 20% Partner with analytics, product, and engineering teams to understand data needs and translate business requirements into technical solutions. Support clinical, operations, finance, and growth teams by ensuring the availability and accuracy of high-quality data. Serve as a bridge between technical and non-technical stakeholders, ensuring alignment on data definitions, availability, and performance. Technology, Tools & Security – 20% Build and manage data workflows using modern tools (e.g., Airflow, dbt, Fivetran, Looker, or equivalent). Ensure all data systems and processes comply with HIPAA and healthcare data security requirements. Evaluate emerging technologies and best practices to improve pipeline performance, reliability, and observability. Data Quality, Governance & Documentation - 15% Implement robust data validation and monitoring systems to ensure data accuracy and completeness. Maintain clear documentation, version control, and consistent naming conventions as part of broader data governance efforts. Collaborate with analytics leadership to define and enforce data standards, including lineage tracking and source-of-truth definitions. Continuous Improvement & Innovation - 15% Proactively identify opportunities to automate manual processes and improve data delivery speed. Stay current with trends in data engineering, cloud infrastructure, and healthcare data management. Contribute to a culture of learning and collaboration within the data and analytics organization. Qualifications 3–5 years of experience in data engineering, analytics engineering, or related roles. Advanced proficiency in SQL and experience building and maintaining ETL/ELT pipelines. Hands-on experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift). Familiarity with modern data stack tools such as dbt, Airflow, Fivetran, or similar orchestration and transformation frameworks. Experience managing data modeling, schema design, and data integration across multiple systems (e.g., EHR, Candid, Zendesk, Salesforce). Working knowledge of Python or another scripting language for data processing and automation. Understanding of data governance, quality assurance, and HIPAA-compliant data handling. Experience supporting business intelligence tools (e.g., Looker) and enabling analytics teams with well-structured datasets. Nice to Haves Experience with healthcare data (EHR, claims, or patient engagement systems). Hands-on experience with the Google Cloud data ecosystem, including BigQuery, Looker, and LookML development. Familiarity with Substance Use Disorder and/or other stigmatized populations Position Type and Expected Hours of Work This is a full-time role, generally expected to be 40 hours per week. Team members may work with their managers to adjust work hours to suit the needs of the position. Team members may be asked to work additional days as work demands require. Compensation The starting pay range for this position is $125,000 - $150,000 per year; base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave). Hiring Process Hiring Manager First Interview (30 minutes by video) Technical Team Interview (1 hour by video) Engineering Team Interview (40 mins by video) Final Interview (30 minutes by video) NOTE: As part of our hiring process, all final candidates will be required to undergo background checks and provide professional references. By applying, you acknowledge and consent to these checks, which may include employment history, criminal records, education/licensing verification, and professional references. We are committed to transparency and confidentiality throughout this process and will inform you in advance should any further information be required. Some of Boulder’s amazing benefits for regular, full-time employees Contribution to meaningful, life-saving work! Health, Dental and vision coverage. Boulder Care pays up to 100% of monthly premiums for individual employee coverage Boulder Care pays 60% of monthly premiums for dependents Short-Term Disability Mental Health Services including MDLive, Talkspace, and EAP *Additional mental health services through Tend Health for episodic care 4 weeks of PTO accrued per calendar year with a tenured increase to 5 weeks at 2 years of employment Sick leave accrued at 1 hr for every 30 hrs paid 9 Paid Holidays per year 12 weeks of 100% paid parental leave for the birth or adoption of a child (after 6 months of employment) 401(k) retirement savings Remote friendly with hardware provided to complete your work duties Our values The people we care for always come first Our opportunity is also our duty, in service to others Share facts to change minds, instill empathy to change hearts Move the industry forward: follow the data Strong individuals, stronger together Why work at Boulder? Boulder Care offers a unique opportunity to combine your technical expertise with meaningful impact. Here’s why joining our team is a decision that matters: Mission-Driven Innovation Work on life-changing digital solutions that improve access to addiction treatment. Boulder’s program achieves 90% patient retention in the first month and 70% retention over 12 months—three times the industry average. Collaborative and Talented Team Join a diverse group of expert clinicians, technologists, researchers, and strategists, all aligned under a common mission. Boulder’s engineering leadership has built scalable products and services that reach tens of thousands of patients while maintaining the intimacy required for patient care. Opportunity for Growth As a Series-C-stage, venture-funded company, Boulder is scaling rapidly with support from world-class investors. You’ll have the chance to shape innovative technology while growing your career in a fast-paced, mission-oriented environment. Social and Economic Impact Be part of transforming healthcare by helping patients, providers, and payers. Boulder Care not only improves patient outcomes but also reduces healthcare costs—addressing a $1.5 trillion societal issue tied to opioid addiction. Values-Driven Culture At Boulder, the people we care for always come first. We champion equity, collaboration, and continuous learning, ensuring that our work moves the industry forward with kindness and data-driven insights. Boulder Care believes the people who manage our product and team should be representative of those who use the platform. This includes people from backgrounds that are historically underrepresented in the industry. We celebrate differences and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity or veteran status. If you are a qualified person with a passion for what we do, please apply! To get more details about who we are and our employee benefits, check out Working at Boulder. Boulder Care believes the people who manage our product and team should be representative of those who use the platform. This includes people from backgrounds that are historically underrepresented in the industry. We celebrate differences and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity or veteran status. If you are a qualified person with a passion for what we do, please apply!

Responsibilities

The Data Engineer will design, build, and maintain the data infrastructure that supports analytics and decision-making at Boulder Care. This role is essential for ensuring data reliability, scalability, and accessibility across the organization.