Responsible for overseeing data flow in production systems, troubleshooting problems, and improving data pipelines using AI tools. Communicates with GIS analysts and provides technical support to the customer success team.
About us:
Cyvl is a Boston-based tech startup revolutionizing the way civil engineering firms and governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles. This data is processed through our AI-powered cloud pipelines to generate actionable condition and geospatial reports, saving our customers time, money, and resources. We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions.
About the role:
We’re looking for a detail-driven, highly organized Data Operations Engineer to take ownership of how data flows through Cyvl’s production systems. You’ll be responsible for ensuring our geospatial deliverables move efficiently and accurately from raw sensor ingest to client-ready outputs—spotting issues early, fixing them fast, and continuously improving the pipeline. This is a core technical role that blends process thinking, problem-solving, and automation. You’ll be expected to leverage emerging AI tools to detect errors, accelerate workflows, and scale your impact across the data pipeline. If you’re excited by the idea of owning a critical function at the heart of a fast-moving startup, we want to hear from you.
What you’ll do
- Monitor and manage jobs as they progress through our internal data pipelines
- Troubleshoot issues with job processing (e.g., bugs, file errors, broken workflows)
- Repair data problems through a mix of software fixes and manual interventions
- Coordinate with GIS analysts to ensure data quality and timely handoffs
- Work with other Data Operations Engineers to improve and scale internal tools
- Help document and standardize recurring workflows and issue resolutions
- Provide technical support to the customer success team for complex delivery issues
- Identify and utilize emerging AI tools to streamline data workflows, detect anomalies, and increase throughput
Qualifications
- Strong organizational skills with proven attention to detail
- Proficient in Python and Unix-based command line tools
- Experience working with geospatial data, cloud pipelines, or automation tools
- Comfortable navigating large datasets and debugging pipeline issues
- Ability to communicate technical concepts clearly to teammates
- Fast learner who enjoys diagnosing and solving complex problems
Preferred Qualifications
- Familiarity with GIS tools such as QGIS, PostGIS, or ArcGIS
- Experience with cloud storage platforms (e.g., AWS S3, Google Cloud Storage)
- Experience building or maintaining automated ETL/data pipelines
- Exposure to sensor-based data
- Experience supporting customer-facing data deliverables or technical support
What we offer
- Competitive compensation
- Opportunities for rapid career growth in a scaling startup
- A collaborative and innovative work culture with a tight-knit team
- The chance to work on meaningful infrastructure problems that affect millions of people
Ideal Cyvl Candidate
- Self-motivated, independent operator who takes full ownership of their domain
- Proactive problem solver who can identify and resolve data issues without handholding
- Fast thinker and quick learner who thrives in a startup environment
- Team player who enjoys working cross-functionally with technical and non-technical teammates
- Excited about the intersection of hardware, data, and civic impact
If you're a results-driven individual with a passion for technology, then we want you to apply to join our team. At Cyvl, you'll have the opportunity to work on cutting-edge technology and make a meaningful impact on the world.
Top Skills
Arcgis
Aws S3
Gis Tools
Google Cloud Storage
Postgis
Python
Qgis
Unix
Cyvl Somerville, Massachusetts, USA Office
444 Somerville Ave, , Somerville, Massachusetts , United States, 02143
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