Senior Data Engineer
Join Doctronic as the first dedicated data engineer, owning end-to-end data processes across the organization.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 5 hours ago
Skills & Technologies
AI in the day-to-day
Support the AI team's data needs for model training.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Data Engineer at Doctronic will be responsible for managing the entire data pipeline, ensuring seamless data flow from production systems to the lakehouse and warehouse. Key skills include strong proficiency in SQL and Python, along with experience in building ELT/CDC pipelines and working with modern data stacks like S3 and Snowflake. This position is ideal for a seasoned data engineer with a background in healthcare data governance and a proactive approach to problem-solving in a flat organizational structure.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Doctronic's careers page October 27, 2026.
- Salary band is above the typical range for Data Engineering roles (median ~$180,656).
- Starts above 93% of 163 comparable senior data engineering roles that list Python we track (median $180,656 across 44 companies). See Python salary trends
- Python appears in 72.9% of 391 comparable senior data engineering roles; Glue appears in 0.5% of 391 comparable senior data engineering roles.
Quick facts
- What's the salary range?
- Doctronic lists $200,000–$275,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Data Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Airflow, Apache Iceberg, Dagster, Glue, IAM.
- What seniority level is this role?
- Doctronic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer role at Doctronic.
From the original posting
The Role
You will be Doctronic's first dedicated data engineer, and you will own the plumbing end to end: how data moves from our production systems into our lakehouse and warehouse, how it gets transformed into trusted, documented tables, and who can access what.
This role serves every team in the company: AI engineering, product, finance, partnerships, and data to name a few.
What You'll Do
Build reliable, monitored CDC pipelines from our production databases (MariaDB, PostgreSQL, MongoDB) into our S3 + Iceberg lake and Snowflake
Stand up a transformation layer (e.g. dbt) on Snowflake so core business metrics (visits, bookings, revenue, retention) come from tested, version-controlled models
Select and implement an orchestration tool so pipelines and dashboard refreshes run automatically, with alerting when they break
Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows
Establish a single governed copy of production data that analytics, finance, and the AI team all read from
Support the AI team's data needs for model training
Design and build a best-practice warehouse architecture with clean raw, transformed, and business-ready layers powering our executive dashboards
What We're Looking For
5+ years of data engineering experience, including ownership of production data platforms end to end
Strong SQL and Python, with experience building and operating ELT/CDC pipelines (Fivetran, Airbyte, or similar)
Hands-on experience with a modern lakehouse/warehouse stack: S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse
Experience with transformation frameworks (dbt or similar) and orchestration tools (Airflow, Dagster, Glue workflows, or similar)
Solid AWS fundamentals: IAM, Lambda, Kinesis, Glue
A pragmatic, reliability-first mindset
Comfort operating with high autonomy and minimal specs in a flat, engineering-first organization
Strong communication skills; you'll work directly with product, marketing, finance, and AI stakeholders
Nice to Have
Experience with HIPAA/PHI data governance, anonymization, or healthcare data
Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs)
Familiarity with ML data workflows: feature pipelines, training datasets, notebook environments (SageMaker, Databricks, Jupyter)
Experience with BI tooling (Metabase or similar) and semantic/metrics layers
Prior experience as the first or only data engineer at a startup
Compensation & Benefits
Base salary range: $200,000 to $275,000 annually, depending on experience, plus meaningful equity
Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent