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Sr/Staff Data Engineer

Remote:

Full Remote

Salary:

200 - 250K yearly

Experience:

Mid-level (2-5 years)

Work from:

California (USA)

Offer summary

Qualifications:

Deep experience in building data pipelines, Expertise in ETL tools, Apache Airflow, SQL, Python, Kubernetes, AWS, GCP.

Key responsabilities:

Independently solve business problems by suggesting successful approaches
Collaborate with cross-functional teams to deliver scalable data frameworks
Map customer data into canonical form, design and adapt to changing needs
Own data availability and quality for Data Science organization

Machinify, Inc. Scaleup https://www.machinify.com/

51 - 200 Employees

See more Machinify, Inc. offers

Job description

Machinify is a revolutionary healthcare software company with a mission to ensure that patients get the right medical treatment, at the right time, at the right price. Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.

We are seeking a Sr./Staff 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 $200k-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.