Staff Data Platform Engineer
Share
Job Location:
Roseville, CA - USA
Monthly Salary:
$ 220000 - 230000
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Job Details
Description
Who We Are:
Machinify is a leading healthcare intelligence company with expertise across the payment continuum delivering unmatched value transparency and efficiency to health plan clients across the country. Deployed by over 60 health plans including many of the top 20 and representing more than 160 million lives Machinify brings together a fully configurable and content-rich AI-powered platform along with best-in-class expertise. Were constantly reimagining whats possible in our industry creating disruptively simple powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
Location:Remote
About the Role:
We are seeking an experienced Staff Data Platform Engineer with a focus on big data systems orchestration and ETL this role you will architect and implement scalable data infrastructure using both existing and greenfield systems. You will collaborate with cross-functional teams to ensure our data solutions meet business needs and leverage cloud-native tools for optimal performance.
What Youll Do:
- Develop scalable and observable data platforms tailored to business needs.
- Build and manage systems in cloud environments using AWS and Azure.
- Collaborate with data scientists engineers and experts to deliver right-fit solutions while increasing data quality and ease-of-use.
- Ensure data systems are reliable flexible and scalable for large datasets from diverse sources (batch vs event on-prem vs cloud etc)
- Architect and build reusable data pipeline and DAG systems.
- Create and deploy Kubernetes-based systems in cloud-native environments.
- Support machine learning workflows through data modeling and transformation.
Qualifications
- 7 Years in software development with Python and SQL.
- Strong understanding of ETL processes big data pipelines and relational databases (PostgreSQL SQL Server etc.).
- Experience with orchestration tools (e.g. Airflow Prefect Dagster).
- Knowledge of cloud platforms (AWS Azure GCP) and their ecosystem tools.
- Strong problem-solving skills and clean coding practices.
- Experience with Apache Spark or similar technologies.
- Experience with agentic coding workflows.
- Experience with data modeling transformation and integration.
- Experience with data quality lineage and modeling tools.
Preferred Technical Skills:
- Experience in software development with Golang.
- Experience with managed data lake systems (e.g. Databricks Snowflake AWS Redshift).
- Familiarity with Kubernetes and container orchestration (Docker Helm etc.).
- Familiarity with infrastructure-as-code systems (e.g. Terraform Ansible)
- Knowledge of monitoring and logging tools for distributed systems (Prometheus Grafana ELK stack).
- Experience with CI/CD pipelines and automated testing.
- Strong understanding of data modeling ETL workflows and data transformation techniques.
Pay range: $220000 - $230000 USD
This is an exempt position. The salary range is for Base will be determined based on several factors including but not limited to skill set years of experience and the employees geographic location.
Whats in it for you:
- PTO Paid Holidays and Volunteer Days
- Eligibility for health vision and dental coverage 401(k) plan participation with company match and flexible spending accounts
- Tuition Reimbursement
- Eligibility for company-paid benefits including life insurance short-term disability and parental leave.
- Remote and hybrid work options
What values well share with you:
- Ask why
- Think big
- Be humble
- Optimize for customer impact
- Deliver results
At Machinify were reimagining a simpler way forward. This begins with our employees. We are innovators who value integrity teamwork accuracy and flexibility. We do the right thing and we listen to the needs of our clients and their members. As tenured experts with unmatched experience we champion diverse perspectives that help us to better understand and serve our clients.
Our values come to life through our culture. We embrace flexible working arrangements that allow our employees to bring innovation to life in the way that best suits their productivity. We work cross-functionally abandoning silos to bring innovative and accurate solutions to market. We invest in each other through ongoing education and team celebrations and we give back to our communities through dedicating days for volunteering. Together Machinify is making healthcare work better for everyone and were passionate about a future with better outcomes for all.
We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender gender identity or expression or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable accordance with applicable state laws we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process please contact our People Operations team at. See our Candidate Privacy Notice at: Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
