Data Platform - Data Engineer
Remote · San Francisco, California, United States · Seattle, Washington, United States · Washington, District of Columbia, United States
Full Time Mid-level / Intermediate USD 130K - 180K
Vannevar Labs supports people on the front lines by building tools that deter and de-escalate conflict with America's adversaries. We build software and hardware for this mission that enable our customers to maintain maritime vigilance, disrupt misinformation, and collect non-traditional intelligence. In strategic competition, the intelligence and actions that shape conflict occur well before war itself. We build tools to win this fight now.
This mission has become urgent. The US and our allies are fighting a war of deterrence with woefully outdated technology. As a team, we believe in public service and that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses.
Since our founding in 2019, we have grown to support a wide range of missions and capabilities across all U.S. service branches, multiple combatant commands, partner nations, and the intelligence community. We have been profitable since 2021, and are backed by investors including General Catalyst, DFJ Growth, Point72, Costanoa, and Felicis.
Data Platform Data Engineer
The data platform organization is focused on meeting the data needs of a growing engineering group at Vannevar Labs. Our focus is on making it easier for product engineers inside of Vannevar Labs to leverage a diverse and growing corpus of data, by building centralized data orchestration, data storage, and data serving infrastructure.
You will be a part of a small team of 4-6 engineers focused on building robust data pipelines that process terabytes of structured and unstructured text, images, videos, and geospatial datasets. You’ll partner with Machine Learning Engineers to improve the quality and value proposition of our datasets through integration with ML services. You’ll also work closely with the Data Serving team to ensure data is available across an array of critical datastores for real time and asynchronous use cases.
What You’ll Do
- Develop robust data pipelines and infrastructure, with a focus on real-time processing, data integrity and data security.
- Design systems and solutions that allow for ease of integration of new datasets into the data platform.
- Maintain a keen eye on scalability, as our data holdings are constantly growing.
- Focus on the operational health of the systems you own, by constantly improving observability, reducing tech debt, and participating in the team’s on-call process.
Qualifications
- 2+ years of experience in software development building distributed data systems
- 2+ years of experience with real time processing and streaming technologies, like Redis streams, Kafka, AWS Kinesis, or others
- 2+ years of experience maintaining production data systems, including on-call and SRE support
- You must be a US resident or citizen.
What we offer
The salary range for this position is $130,000 - $180,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training.
We’re proud to offer competitive benefits that support our employees. Some key highlights of our benefits package include:- Health, dental, and vision insurance
- 100% remote first culture. You can work from anywhere in the US and all full time employees have WeWork access
- Unlimited PTO including competitive vacation and holiday schedules
- Lifestyle stipends - Monthly mental health, wellness & fitness stipend, in-home office setup stipend and family planning assistance
- Salary top-up during military reserve duty
- Fully paid parental leave
- Child and pet care reimbursement during travel
We are committed to protecting the privacy of all applicants. Official emails from the company will come from an @vannevarlabs.com domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
Tags: AWS Data pipelines Engineering Kafka Kinesis Machine Learning Pipelines Privacy Security Streaming
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Fitness / gym Gear Health care Home office stipend Insurance Parental leave Unlimited paid time off Wellness
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