Machinify, Inc.
Staff/Lead Data Engineer
Machinify, Inc., Palo Alto, California, United States, 94306
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 MachinifyMachinify 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.
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 MachinifyMachinify 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.