Cloud Infrastructure Engineer
Coalfire
AnsibleAWSAzureCloudGoogle Cloud PlatformTerraform
Senior Data Infrastructure Engineer
Voltus
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $160,000 - $190,000 per year
Job Level
Senior
Tech Stack
AirflowAWSCloudETLGoGoogle Cloud PlatformPrometheusPython
About the role
- Own and maintain our data pipeline architectures (e.g., critical data ingestion services, ETL pipelines, database mirroring and warehousing), ensuring they are reliable, monitored, and meet SLAs.
- Manage and evolve our data modeling environments and provide a smooth, well-documented workflow for analysts and engineers.
- Operate and improve our orchestration systems (Dagster), ensuring jobs run reliably and are observable.
- Evaluate and rationalize data tooling from Databricks and notebooks (Marimo, Jupyter) to BI/analytics platforms (Redash and alternatives) and guide Voltus toward a sustainable, coherent data platform.
- Implement observability for data systems (logging, alerting, metrics) so issues are detected early and data quality is continuously monitored.
- Champion data governance and documentation, making datasets well-defined, trustworthy, and easy to navigate.
- Collaborate with analysts, data scientists, and platform engineers to ensure the infrastructure you build is intuitive, scalable, and solves real-world problems.
- Lay the groundwork for advanced applications by making Voltus’ data reliably accessible via well-documented interfaces, positioning us to adapt to future ML and AI use cases.
Requirements
- Proven experience in a data engineering or infrastructure role, with responsibility for production-grade pipelines and data systems.
- Skilled in a programming language such as Python (Bonus Go).
- Deep experience with ETL/ELT pipelines, dbt, and integrating disparate data sources into warehouses/lakes.
- Familiarity with cloud data platforms (AWS, GCP) and modern data tooling. We are running on AWS
- Experienced in workflow orchestration (Airflow, Dagster, or similar).
- Comfortable evaluating tradeoffs across notebook and analysis platforms (Jupyter, Marimo, Databricks) and recommending sustainable solutions.
- Knowledge of BI/analytics tools (Redash, Looker, Mode, Superset, etc.) and how to support or migrate to them.
- Strong understanding of data quality, governance, and observability.
- A clear communicator who can work across technical and non-technical teams to define requirements and deliver solutions.
- Comfortable taking ownership end-to-end of critical data infrastructure and serving as a point person for reliability and direction.
- Familiarity with observability/monitoring tools (e.g., Datadog, Prometheus).
Benefits
- Base pay is $160,000-190,000 annually, commensurate with experience, with 10% bonus paid semi-annually, and equity.
- Unlimited leave for full-time employees
- Parental leave
- Comprehensive benefits package to promote health, wellness, and financial security.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data pipeline architectureETL pipelinesdata modelingworkflow orchestrationPythondbtdata qualitydata governanceobservabilitycloud data platforms
Soft skills
clear communicationcollaborationownershipproblem-solvingdocumentation
