Lead Data Platform Engineer

Vannevarlabs-2 in Remote

$175,000 - $215,000

Vannevar Labs brings innovative, robust, and scalable software design to the public servants working in defense and national security keeping our country safe.

As a team, we exist because we believe in public service, and we think that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses.

Our flagship product is Decrypt, a software platform for collecting and processing foreign language text data with a UI for enabling users to quickly interpret the data. Decrypt is driving some of our most important military and foreign policy decisions by enabling our government partners to understand and respond to foreign actors in ways previously not possible.

We are a growth startup with investment from Felicis Ventures, DFJ Growth, Aloft VC, General Catalyst, Point72, Costanoa Ventures, and Shield Capital.

The Lead Data Platform Engineer

As Lead Data Platform Engineer, you’ll be helping set our data strategy and technical direction as we scale up.  As a domain expert in data pipelines, query optimization and distributing computing of massive datasets, the data team empowers our customers to unlock and deliver compelling data insights of great importance to national security. The decisions you make will have a direct impact on the company today and into the future.

We believe that simple systems are easier to understand, maintain, and scale - we prefer pragmatic, product-centric solutions. You should be innovative: willing to take risks, think critically about novel solutions, and advocate for your ideas while seeking feedback and collaboration. You will be making trade-offs as you work to ensure that our systems are prepared to scale — being able to effectively communicate these trade-offs with your teammates is a must.
Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

We encourage candidates from all backgrounds to apply, even if you don’t feel like you're a perfect fit. If you’re passionate about contributing to our mission, we’d love to hear from you!

What We Offer:
401k Match
Equity
Health, dental, and vision insurance
Open PTO
Flexible work environment - you manage your workday
100% remote - work from anywhere in the US
Mental health benefits
Pet care reimbursement during travel

Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!
    • Work alongside engineers on other teams to enable insights from large scale, rapidly growing and heterogeneous datasets
    • Unlock value within collections such as 200TB of geospatial data, text and multimedia in over 46 different languages, and other mission related datasets
    • Solve large-scale data synchronization problems, including propagating data between multiple data stores and external systems
    • Develop sampling strategies to filter massive geospatial data to enable rendering on an end-user’s web browser
    • Identify emerging data technologies to support scaling while maintaining low latency reads
    • A proven ability to work across teams to coordinate and solve engineering problems
    • Experience managing large scale data pipelines and performance tuning of SQL and NoSQL datastores
    • Experience leveraging distributed data processing to establish robust data pipelines capable of supporting hyperbolic scale
    • Experience with modern backend languages such as Python
    • Excellent communication and teamwork skills
    • U.S. Person status is required with the ability to obtain security clearance.
    • Experience building solutions with cloud data warehouses such as Redshift or Snowflake
    • Experience optimizing queries and indices with Postgres
    • Experience performance tuning ElasticSearch clusters and queries
    • Experience with other parts of our stack, including Debezium, Kinesis, OpenSearch, Temporal, Celery, NodeJS, and Python – which are all managed by IaaC on AWS

      • The Salary Range for this position is $175,000-$215,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training
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