Python Engineer

Anomaly

Senior Python Engineer building healthcare integration tools for analyzing complex payer behavior. Collaborating with Data Scientists to deliver actionable insights through APIs in a remote role.

Posted 7/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building integrations with healthcare and financial systems, focusing on high-throughput, low-latency systems and reliable data pipelines. Proficient in developing APIs that connect data science outputs to impactful products.

Highest-signal resume keywords

Python ProgrammingJava ProgrammingScala ProgrammingAPI DevelopmentData Pipeline Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData IngestionData QualityMachine LearningSQLSparkAirflow

Soft Skills

Pragmatic MindsetCuriositySolution-Oriented

Industry Keywords

Healthcare SystemsFinancial SystemsObservabilityHigh-Throughput SystemsLow-Latency Systems

Tech Stack

Tools & technologies

AirflowJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Build integrations with healthcare and financial systems
Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality
Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails
Design high-throughput, low-latency systems where performance is a mission-critical requirement
Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product

Requirements

What you’ll need

5+ years of professional software engineering experience
Ability to write idiomatic, testable, and maintainable code in Python, Java, or Scala
A “hacker mindset” — pragmatic, curious, and solution-oriented
Experience building reliable data and ML pipelines using SQL, Spark, or Airflow (Nice to have)
Experience building and deploying online machine learning products (Nice to have)
Experience developing high-volume, low-latency APIs (Nice to have)

Benefits

Comp & perks

Competitive salaries
Meaningful equity
Benefits designed to support our team