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Machinify

Staff/Lead Data Engineer

Job Posted 20 Days Ago Posted 20 Days Ago
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Staff/Lead Data Engineer will build and manage data pipelines, ensuring data availability and quality while using technologies such as Apache Airflow and Spark.
The summary above was generated by AI

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

We are seeking a Staff/Lead Data Engineer to build and own critical data pipelines. 

What you’ll do:

  • Independently understand all aspects of a business problem including those unrelated to their area of expertise, weigh pros and cons of different approaches and suggest ones likely to succeed

  • Work with a cross-functional organization including engineering, delivering, subject-matter experts, product managers, as well as platform engineers to deliver a scalable framework. 

  • Map the customer data into Machinify canonical form. Identify and ingest non canonical fields and generalize the process to a minimal level of customization.  

  • Proactively design and adapt the canonical form to suit changing query patterns and needs.  

  • Ultimately own data availability and quality for the Data Science organization.

What You Bring:

  • Deep experience as a hands-on Data Engineer building production data pipelines

  • Experience managing the delivery of complex data

  • Experience in ETL orchestration and workflow management tools with a strong preference for Apache Airflow

  • Experience in Spark or other distributed computing frameworks

  • SQL and Python

  • Advanced SQL performance tuning

  • Kubernetes and building Docker images

  • AWS & GCP

  • Experience working with APIs to collect or ingest data

  • Manage SLA for all pipelines in allocated areas of ownership

  • Streaming technologies like kafka , spark streaming etc

  • ELK stack , Grafana etc

The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is 220k-250k. We are hiring for different seniorities, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. 

Top Skills

Apache Airflow
AWS
Docker
Elk Stack
GCP
Grafana
Kafka
Kubernetes
Python
Spark
SQL
HQ

Machinify Palo Alto, California, USA Office

Downtown Palo Alto is known for its lively style, trendy shops, plenty of bars, restaurants and great coffee stores. The office is easy to get to, and just a couple of minutes walk from the Caltrain station.

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