Staff Data Engineer
About The Position
We are seeking a highly skilled and motivated Data Staff Engineer to join our team at Artera. This role is critical to maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes. You will report directly to the Engineering VP running the foundations engineering team. This team 1) guides general company architecture and development patterns, and 2) executes high risk projects critical to Arteraâs success. In 2026 those projects will extend our 2025 work in agentic AI, with a particular focus on MCP servers. Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, while also taking the lead on investigating and implementing solutions to enhance our data infrastructure.
Requirements
- Bachelorâs Degree in STEM preferred additional experience is also accepted in lieu of a degree
- Proven experience with Kubernetes and Cloud infrastructure (AWS preferred)
- Strong proficiency in Python and SQL for data processing and automation.
- Expertise in orchestration tools such as Airflow and Docker.
- Understanding of performance optimization and cost-effectiveness in Snowflake.
- Ability to work effectively in a collaborative, cross-functional environment.
- Strong problem-solving skills with a proactive and solution-oriented mindset.
- Experience with event sourced and microservice architecture
- Strong grasp of ES/Typescript.
- Experienced working with asynchronous requests in large scale applications
- Commitment to testing best practices
Nice To Haves
- Knowledge of DBT, particularly in setting up new projects.
- Demonstrated ability to build and maintain complex data pipelines and data flows.
- Collaboration/contributions with the open source community
- Experience with: DockerTerraformAWSPython
Responsibilities
- Continuous Enhancement: Maintain and elevate Arteraâs data infrastructure, ensuring peak performance and dependability.
- Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies
- Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow.
- Troubleshooting: Manage the daily operations of the Artera platform, swiftly identifying and resolving data-related challenges.
- Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes.
- Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects.
- Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation.
- Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies.
- Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level agreements.
- Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions.
- Proactive: improves stability and performance of architecture for team implementations.
Benefits
- Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more!
- Manager development cohorts, employee development funds
- Company holidays, Winter & Summer break, and flexible time off
- We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
