Machinify · 6 hours ago
Staff Data Platform Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$220K/yr - $230K/yr
7+ years expMachinify is a leading healthcare intelligence company focused on delivering value and efficiency to health plan clients. They are seeking an experienced Staff Data Platform Engineer to architect and implement scalable data infrastructure while collaborating with cross-functional teams to enhance data solutions.
AnalyticsArtificial Intelligence (AI)Business IntelligenceMachine LearningPredictive AnalyticsSaaS
Responsibilities
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
Qualification
Required
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
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
Benefits
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
Company
Machinify
Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes.
1001-5000 employees
H1B Sponsorship
Machinify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (6)
2023 (3)
2022 (3)
2021 (4)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$12.79MKey Investors
Battery Ventures
2025-01-10Acquired
2018-10-08Series A· $10M
2016-03-15Seed· $2.79M
Leadership Team
Edward Lichty
Strategic Operations
Prasanna Ganesan
EVP & Chief Product Officer
Recent News
2025-12-19
Dallas Morning News
2025-10-24
globallegalchronicle.com
2025-10-24
Company data provided by crunchbase