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Job Description

MIDAS: Senior Backend Engineer, Data

Overview: looking for an experienced Senior Backend Engineer, DAta to build nad maintain the

software systems that power our healthcare data platform. You will be building robust, scalable

applications and services that enable our teams to process complex clinical data efficiently while

empowering data and analytics engineers to do more with higher data quality.

Culture:

o This group is very supportive of each other, collaborative, and folks are invested in

helping you grow

o The folks that are most successful here are typically those with the ability to learn and

adapt quickly, figure out whatevers needed to deliver value, and collaborate well with

others

Key Responsibilities:

o Platform Software Development: end-to-end ownership of software applications, APIs,

and services that support our data platform

o Service Architecture: develop microservice and serverless-based applications that

support end-to-end data lifecycle from ingest through to customer impact

o Developer Experience: develop tools, libraries, and frameworks that enable

data/analytics engineers and data scientists to work more efficiently and safely with

clinical data

o Infrastructure and DevOps: develop automation tooling, monitoring, and operational

software that ensures platform reliability and observability, as well as compliance and

privacy with healthcare data

o Technical Leadership: drive best engineering practices across team and org, partner

cross-functionally and collaborate to drive adoption of clinical data products

o AI-leveraged Engineering: leverage LLMs to accelerate tasks like data modelling, query

writing/rewriting, document creation, code review, synthetic/test data generation

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

Required Qualifications:

o 5+ years with a track record of leading complex projects and building production-grade

services

o Self-starter and ability to drive impact with minimal high level direction

o Expert programming skills in node.js, Python, or other modern programming language

with emphasis on backend development

o Experience with infrastructure as code (Terraform, CloudFormation)

o Experience with distributed systems and cloud computing (AWS, Azure, GCP),

containerization, orchestration, and CI/CD

o Deep understanding of data architecture, APIs, and data-intensive systems (distributed

datastores, data warehouses/lakes, big data processing that handles structured datasets)

Technical Skills:

o Programming: node.js/Typescript, Python, SQL

o Data Technologies: Apache Spark, Kafka, Delta Lake, Databricks, Looker, Avro,

Airflow/Prefect

o Databases: MongoDB, DynamoDB, Cassandra, PostgresSQL, Redis, S3

o Cloud Platforms: AWS, Azure, GCP

o Automation: Jenkins, Gitlab CI, Github Actions, Apache Airflow

o Monitoring: Datadog, Prometheus, Cloudwatch Preferred Qualifications

o Experience with healthcare data

o Experience with HIPAA or other compliance-heavy industries

o Background in data and analytics null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].