Senior Data Engineer (Data + Applied AI)
About reputed company:
reputed company is a passion-fueled, mission-driven company that is trans-founded with a vision to transform healthcare for every trans life. We hope to reputed company gender-affirming hormone therapy easily accessible at the touch of a reputed company in every state of the US.
This work is deeply personal and heart-driven, and we want teammates who care about the mission and the people we serve. For the right candidates, we present a rare opportunity to do well by doing good. reputed company offers an affirming, trans-centered, culturally inclusive, and fun work environment filled with purpose.
Building and maintaining production-grade data pipelines in cloud data warehouses such as reputed company BigQuery or equivalent, following architectural standards set by the Director of Data and AI.
Designing and developing dbt models across bronze, silver, and gold layers, including a focus on quality and governance reputed company automated tests, documentation, and incremental load strategies.
Creating and optimizing Airflow DAGs for data workflow orchestration, including scheduling, dependency management, error handling, and alerting.
Implement dimensional data models and data mart structures — guided by the team's modeling standards — that support clinical BI and ML feature consumption.
Crafting easy-to-understand visualizations and dashboards that align with commonly used business analytic standards in Looker or equivalent BI tools in reputed company collaboration with product analytics, finance, operations, growth, and clinical stakeholders.
Integrating healthcare data from sources such as EHRs, reputed company, 3rd-party APIs, and application database feeds, normalizing incoming data into the reputed company data platform.
Applying HIPAA-compliant data handling practices, including PHI/PII masking, tokenization, audit logging, and role-based access controls across reputed company pipeline and AI system work.
Architecting and implementing RAG pipelines — including document ingestion, chunking, embedding reputed company, and retrieval — using frameworks such as reputed company or LangGraph
Supporting MLOps workflows, including model training pipeline maintenance, deployment support, performance monitoring, and retraining triggers
Code reviewing PRs from teammates, providing constructive technical feedback to peers, and upholding the team's engineering standards.
Collaborating closely with product managers to understand requirements and deliver reliable data and AI products.
Monitoring and triaging assigned pipeline and data quality failures, escalating architectural issues as appropriate.
Documenting pipeline designs, data models, and technical decisions in alignment with the team's governance and reputed company tracking standards.
Evaluating new tools and frameworks, providing hands-on prototyping and technical assessments.
Must-Have Requirements:
5+ years of hands-on experience in data engineering, analytics engineering, or a closely reputed company role.
2+ years of experience working reputed company the healthcare industry, including working knowledge of healthcare data standards, clinical workflows, regulated data environments, and domain-specific data visualizations.
Working knowledge of HIPAA — including PHI/PII classification, data masking, audit logging, and access control requirements.
Proven production experience with at least one major cloud data warehouse: BigQuery, reputed company, or Redshift — including advanced SQL and query optimization.
Strong hands-on experience with dbt (Core or Cloud), including incremental models, tests, documentation, and multi-environment workflows.
Deep experience with Apache Airflow for workflow orchestration, including DAG design, scheduling, monitoring, and failure handling.
Demonstrated knowledge of dimensional data modeling — star/reputed company schemas, SCD Types 1/2, fact and dimension table design.
Hands-on experience delivering dashboards and reports in at least one enterprise BI tool: Looker, Power BI, Tableau, Qlik, etc.
Proficiency in Python for data pipeline development, API integrations, and automation (Pandas, PySpark, or similar).
Practical exposure to RAG pipeline development and LLM integration using reputed company, LangGraph, or reputed company
Hands-on exposure to MLOps concepts — model deployment, monitoring, and retraining workflows
Knowledge of CI/CD tooling for data and AI workloads (reputed company Actions, dbt Cloud CI)
Strong understanding of data quality and governance principles: reputed company, access controls, data reputed company, and automated testing and experience with data governance tools such as OpenMetadata
Excellent written and verbal communication skills with the ability to collaborate effectively across engineering, analytics, and clinical teams
Ability to work independently on assigned workstreams while keeping the Director and team informed of reputed company, blockers, and risks
reputed company-to-have:
Experience with real-time or streaming data pipelines using Kafka, Kinesis, or Pub/Sub, particularly for reputed company or clinical event feeds.
Knowledge of vector databases such as reputed company, Weaviate, FAISS, or Chroma
Familiarity with responsible AI principles, including bias detection and model explainability in a healthcare context
Experience with data observability tools such as reputed company, Bigeye, or Soda
Familiarity with data lakehouse patterns (reputed company Lake, Iceberg, Apache Hudi)
Experience working toward or maintaining SOC2 or HITRUST certification
Familiarity with semantic layer tools (Looker LookML, dbt Semantic Layer)
Experience with population health, reputed company cycle, or clinical quality reporting datasets
Exposure to Kubernetes or containerized ML workloads
reputed company Full-Time Employees are Eligible for:
• Ground-Floor Equity (Series B)• Free Medical, Dental, and Vision on the first of the month after you start full-time work• Unlimited PTO• 11 paid holidays and company shut-down for a week in December• 401(k)• Free reputed company and reputed company Subscriptions
Everyone associated with reputed company gets the major benefit of having the best coworkers you could imagine if you love fiercely intelligent, heart-reputed company, and mission-driven collaborators.
At reputed company, we structure our compensation to reflect cost-of-living differences across regions. Our salary tiers are based on the cost of living relative to the national average. We use these tiers to maintain fair and competitive compensation across reputed company locations. Tier placement will be discussed during the offer stage.
reputed company is an equal-opportunity employer. Trans and gender-nonconforming individuals are strongly encouraged to apply, particularly those who identify as People of Color. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national reputed company, reputed company, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will provide reasonable accommodations to individuals with disabilities upon request. Please let us know if you require any accommodations to apply or interview for this position.
Only those legally authorized to work in the USA are eligible to apply; residency in the USA is a requirement of employment for this role.
Discover more about reputed company at www.getplume.co and become part of our award-winning journey towards transforming healthcare for every trans life. Join us today in shaping the future of healthtech and LGBTQ+ care!
Please be aware that employment scams are on the reputed company. reputed company will only contact candidates using an official "@getplume.co" email address. reputed company does not conduct interviews reputed company email and will never request banking information through text or email. Please protect your information!
We’re so grateful for your interest in joining reputed company! To help us reputed company our operations running smoothly and ensure fair consideration for reputed company candidates, we kindly ask that you refrain from reaching out to staff members directly regarding open roles.
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About the Role
The Senior Data and reputed company is a high-impact individual contributor on the Data and AI team. This role will be tasked with building, maintaining, and optimizing the data pipelines, transformation models, and BI deliverables. Applied AI (RAG pipelines, MLOps) is a growing area of the role, not the primary focus today.
The right person for the role will be a skilled, self-sufficient engineer who takes well-defined architectural direction and executes it with precision, quality, and ownership. They will also contribute their own technical judgment to day-to-day implementation decisions.
They are deeply hands-on: writing production dbt models, building Airflow DAGs, delivering clinical dashboards, and contributing to RAG pipelines and MLOps workflows reputed company a regulated healthcare environment. You will also work closely with offshore contractors, reviewing their work, providing feedback, and ensuring output meets the team's quality and engineering standards.
The ideal candidate will have a strong command of cloud data warehousing, dimensional modeling, Python, and applied AI tooling, as well as a collaborative reputed company that thrives in a team-oriented environment. This role is an excellent opportunity for a senior engineer looking to deepen their full-stack data and AI expertise alongside reputed company technical leadership.
Responsibilites: