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Mexico

At Human API a LexisNexis Risk Solutions Company, we exist to radically accelerate the pace of health innovation for everyone. That is our vision. We unlock siloed health data from everywhere and put it directly into the hands of the consumer, right when they need it: enabling a meaningful transaction that creates value in their lives. Some call us the "PayPal" of health data, but our dreams are bigger.

To name a few examples, we help rapidly screen participants for clinical trials, enable life-changing software through accurate wearable data, and we accelerate the buying process for important insurance products. Tomorrow we will inspire the innovation of impactful digital health products to maximize human longevity and potential. We are looking for talent who are equally inspired by these big ideas and have the grit and determination to make them come to life.

We're looking for people who are good at engineering systems to manipulate, process, and make sense of data. If you're an expert in some areas of data engineering, but not others, we'll train you up. If you have the knowledge and skills to architect and design systems, we'll let you do that and follow your lead.

The core of this role is taking complex data and making it accessible for others.

What you'll do

You'll build out our data platform capabilities across a wide selection of themes (pipelines, graphs, ml models, annotations, automation, data observability, data lifecycle management, data governance, semantic layers) using a set of core services (currently AWS, Databricks, and Looker)

Manage and scale data pipelines across the terabytes of arbitrarily complex data in our data lake, both structured and unstructured

Performance tuning and scaling internal and external real-time data services

About you

At least 5+ years working as an individual technical contributor, in a software engineering role

3+ years working with distributed data systems and data engineering

Streaming processing semantics (and debugging streaming applications)

Advanced proficiency in:

Design and maintenance of pipelines built atop distributed data technologies (Databricks/Spark, Snowflake, BigQuery/Redshift, Kafka/Kinesis, etc.)

All aspects of managing distributed systems (design, scalability, security, deployment, observability, resiliency)

CI/CD principles (even better applying devops practices to data)

Workflow orchestration (Airflow, Prefect, AWS Step Functions, etc.)

SQL and Python, and willingness to learn other languages

Data modeling and query optimization

LexisNexis Risk Solutions and Human API will deliver a next-generation consumer consent management solution that enables more seamless delivery of data. This approach empowers consumers with better access to their healthcare data and insurance resources that can improve care coordination and automate life insurance underwriting. Currently serve some of the largest financial and health companies in the world from Prudential, Allstate, John Hancock, Omada Health, Thrive Global, AAA, and many more.

We have thousands of API integrations into enterprise health record systems, wearable devices, as well as health and wellness applications, that all benefit the end consumer and our enterprise customers. We’re looking for independent thinkers who care deeply about the problems we’re trying to solve. At Human API, we welcome people of all backgrounds.

#LI-remote, Trabajo remoto

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $60,000 - $80,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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