Allied Minds

Data Analytics Engineer

US-VA-Herndon
4 months ago
Job ID
2016-1103
HawkEye 360
# of Openings
1
Category
Engineering

Overview

 

 HawkEye 360

**This position may require exposure to information which is subject to US export control regulations, i.e. the International Traffic in Arms Regulations (ITAR) or the Export Administration Regulations (EAR). All applicants must be U.S. persons within the meaning of U.S. regulations.**

 

WE’RE PASSIONATE ABOUT SOLVING BIG PROBLEMS
Big problems call for big data. At HawkEye 360, we are developing a technology solution that will provide customers with data products and knowledge to make critical decisions. We will find meaning in the signals and information that we collect, and merge this with other important information to bring a whole new level of visualization to our customers.
WE ARE FOCUSED AND STRATEGIC
It’s easy to get distracted and watch the sky. At HawkEye 360, we will focus on our customers’ needs while understanding the strategic nature of each and every problem brought to us to solve. And we thrive on a good challenge!
WE BELIEVE IN THE POWER OF COLLABORATION AND CREATIVITY
At HawkEye 360, we believe that collaboration is critical to solving problems. We will seek input from customers, partners, advisors and the community to identify and bring the best solutions to market. Many of our systems will tap into a large community of developers and companies. We will research and evaluate open-source solutions first before spending time and money developing something ourselves. Our iterative creativity and collaborative approach will drive innovation and feed our spirit.
WE ARE PUSHING THE BOUNDS OF WHAT SMALL SATELLITES CAN DO
The smallsat industry is changing the market dynamics of space. At HawkEye 360, we are committed to advancing smallsat utilization to allow for a whole new level of agility and capability on orbit.
HawkEye 360 is an RF analytics company that is developing a constellation of small satellites in low Earth orbit (LEO) to generate reports on wireless signals that can be used to track and monitor global transportation networks, assist with emergencies, as well as provide other data analytics services to a broad range of customers. The company seeks to provide highly accurate activity based data products by processing multiple sources of information (RF, Imagery, open source Internet) to create a wealth of current and historical data useful for commercial and government customers.

 

JOB DESCRIPTION:

Put Your Creativity to Work
HawkEye 360 is currently seeking a Data Analytics Engineer. As a member of the data analytics team, the engineer will design, implement, support and utilize a scalable analytics architecture and complementary analytic products. 
Team members will invent and produce processing components within the analytics architecture to derive data products with commercial potential on topics ranging from behavior characterization and geospatial prediction to visual data representation. The analytics team will take the lead integrating processed data and analytic products with systems developed by customers and partners.
The Data Analytics Engineer will have play an essential role in developing and maintaining a scalable analytics architecture and ensuring data perseverance and integrity. Reporting to the Director of Analytics, the Data Analytics Engineer will also have the opportunity to contribute to analytic or machine learning product development.

 

 

Responsibilities

We’ll Expect You To… 

  • Develop and support a scalable analytics architecture to ingest RF metadata.
  • Develop and support distributed database capabilities to match analytic requirements; ensure the integrity of HawkEye 360 data.
  • Support the implementation and deployment of analytic and machine learning components defined by senior engineers.
  • Implement or produce analytic and machine learning components using data derived from HawkEye 360 satellites in combination with freely available data or data made available to HawkEye 360 via special arrangement with the provider. Evaluate and integrate open source technology tools and solutions. to support stream processing, data movement, data visualization, system interfacing and data-source fusion using ephemeral (cloud-based) compute resources. Contribute to defining requirements for the processing team in terms of the type, quantity and data format or interface specifications needed to ensure the success of the analytic product
  • Support interfacing raw data from the processing team and analytic products from any stage in the analytic processing pipeline with customer and partner systems as required.

Qualifications

You’ll Need to Have…

  • 3+ years professional experience with data analytics or equivalent professional experience as a software developer for quantitative applications.
  • M.S. or B.S. in Electrical Engineering or Computer Science with a strong background in programming, systems management and IT. (Particularly strong work experience may be deemed equivalent for candidates with alternative or lesser degrees)
  • Experience with or clear ability to use and support (some of) Docker, Docker Swarm, Storm, Streamparse, Heron, Kafka, mongoDB, GeoServer, PostGIS, OpenLayers, Cesium, ZooKeeper, Theano, TensorFlow, OpenCV, Scrapy, and Splash.
  • Experience with alternative stack components such as Spark, Spark Streaming, CouchDB, and Caffe welcome.
  • Demonstrated experience in software development as part of a team with object-oriented concepts using Python, C/C++ or Java.
  • Adeptness at learning and applying new technologies and solving new problems.

 

We’d Like to See…

  • Relevant experience with statistical modeling or machine learning.
  • Experience with geolocation algorithms and/or measuring geolocation results.
  • Experience with communications and/or software defined radio and software packages such as GNU Radio.

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