Data Engineer

CipherHealth

. Own the warehouse, transforms, orchestration, and serving layer, including dashboards, reverse ETL, and agents .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing data pipelines and warehouse models, with a strong focus on SQL, cloud technologies, and orchestration tools. Capable of ensuring data quality, observability, and effective documentation while collaborating across functions.

Highest-signal resume keywords

5+ Years Experience In Production PipelinesStrong SQL SkillsCloud Warehouses ExperienceOrchestration Tools ExperiencePython For Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production PipelinesWarehouse ModelsSQLCloud WarehousesDbt-Style TransformsOrchestration ToolsPythonTestingIncident ManagementData Quality

Soft Skills

Systems-Thinking ApproachCross-Functional CollaborationWillingness To DocumentAutomation Mindset

Tools & Technologies

AirflowDagsterPrefect

Industry Keywords

Data ProductsSLA ReportingHealth MonitoringAnomaly DetectionData Contracts

Tech Stack

Tools & technologies

AirflowCloudETLPythonSQL

About the role

Key responsibilities & impact

Own the warehouse, transforms, orchestration, and serving layer, including dashboards, reverse ETL, and agents
Build reliable pipelines from product events, CRM, marketing, finance, support, and other sources
Implement contracts, retries, visibility, tested models, metrics, quality tests, anomaly detection, lineage, SLAs, and incident processes
Partner with Engineering on events, tracking plans, data contracts, access governance, PII, and documentation
Build and own the quality and adoption of the agent layer, including health monitoring, failed-job summaries, cost and performance flags, draft models/tests/docs, schema-change alerts, health reports, and suggested fixes
Run platform reviews, retrospectives, SLA reporting, and prioritization with Product, Analytics, and go-to-market teams
Ensure clear ownership, tests, documentation, and rollback for major data products
Deliver end-to-end as an individual contributor with no direct reports

Requirements

What you’ll need

5+ years of hands-on production pipelines and warehouse models experience
Strong SQL skills
Experience with cloud warehouses and dbt-style transforms
Experience with orchestration tools such as Airflow, Dagster, Prefect, or similar
Python for automation
Design for observability, testing, incidents, and cost
Systems-thinking approach
Ability to partner across functions
Willingness to document and automate rather than manage people

Benefits

Comp & perks

Generous company-funding of health, vision, and dental plans
HSA/FSA plans
Short- and Long-Term Disability
Life and Personal Accident Insurance
$40 monthly wellness stipend
Employee Assistance Program (EAP)
Adoption Assistance
401(k) after three months, with a match upon enrollment
Discretionary PTO and 13 paid holidays
Paid parental leave and flexible return-to-work policy
Employee referral program with cash rewards
Yearly Cipher-versary stipend
Peer and manager kudos with gift cards
Employee Resource Groups
Internal webinars and robust onboarding/training programs
$50 monthly reimbursement for work-from-home expenses
New MacBook laptop, other hardware, and company swag upon hire