Machinify is seeking a Staff Data Platform Engineer to build scalable, reliable infrastructure that enables seamless communication, data processing, and analytics. You will architect and implement data infrastructure using both existing and greenfield systems, collaborating closely with cross-functional teams to ensure solutions meet business needs.
What You'll Do
- Design and build scalable and high-performance data software solutions using Golang and Python.
- Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
- Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
- Optimize performance, reliability, and security of our backend infrastructure.
- Work on data modeling and transformation to support machine learning workflows and AI-powered applications.
What We're Looking For
- 10+ 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 data modeling, transformation, and integration.
- Experience with data quality, lineage, and modeling tools.
- Strong understanding of data modeling, ETL workflows, and data transformation techniques.
Nice to Have
- Experience with agentic coding workflows.
- 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.
Technical Stack
- Languages: Scala, Golang, Python, SQL
- Databases: PostgreSQL, SQL Server
- Orchestration: Airflow, Prefect, Dagster
- Cloud Platforms: AWS, Azure, GCP
- Data Processing: Apache Spark, Databricks, Snowflake, AWS Redshift
- Infrastructure: Kubernetes, Docker, Helm, Terraform, Ansible
- Observability: Prometheus, Grafana, ELK stack
Team & Environment
The Data Platform Development team builds internal systems that power and extend the Machinify platform. You will work closely with the core Machinify platform team.
Benefits & Compensation
- Competitive salary: $210k-$250k + meaningful equity.
- Full Medical/Dental/Vision coverage for employees & their families.
- Flexible and trusting environment.
- Unlimited FTO.
- 401(k) including employer match.
Work Mode
This role can be performed from anywhere in the US.
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.
