- Demonstrated development in Python, C/C++, Java
- Understanding of cloud computing (preferably AWS or GCP)
- Demonstrated SQL experience with tools like BigQuery, RedShift, or Snowflake
- Experience with transportation / network / graph theory
- Experience with version control (preferably Git/GitHub)
- Experience with Linux/Unix command line and virtualized environments
- Ability to build/test network models
- Ability to create effective visualizations of results
- Solid critical thinking, problem-solving, and communication skills
- Experience building large scale transportation network routing solutions
- Experience with data pipelines and automating processes
- Transportation modeling consulting or public sector service
- Medical, dental, and vision coverage for you and your dependents
- First year of employment gives two weeks of PTO, four weeks thereafter
- 14 holidays and flex holidays
- 401(k) plan
- Employee equity
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Transportation Route Computation Software Engineer - San Diego, United States - M-Works
Description
Transportation Route Computation Software EngineerOn-Site – SAN DIEGO, CALIFORNIA or PORTLAND, OREGON
About Us
Motionworks is the trusted population intelligence expert that empowers customers with privacy-compliant, innovative data solutions to help them make smarter, more confident decisions.
Powered by geospatial technology and exceptional data scientists, engineers, and UX experts, Motionworks delivers a wide range of high-value mobility insights that provide historical, real-time, normative, and predictive intelligence about how people move around the globe.
Job Summary
As a fast-growing startup, Motionworks is looking for a transportation route computation software engineer with demonstrated interest in urban planning, logistics, operations research, or transport analytics.
We want people with a passion for data modeling, software development, and applying your trade to make the world a better place.
You will be tasked with:
Owning and monitoring nationwide transportation routing solutions for our products
Implementing data pipelines built in Apache Airflow on the Google Cloud Platform (Google Composer)
Building network and mathematical models that integrate with our primary products
Optimizing data processes to reduce pipeline processing costs and increase efficiency of existing workflows
Identifying and implementing data structures, storage, and indexing to optimize pipelines and/or reduce pipeline processing costs
Working with product leads to operationalize research and development concepts into repeatable and efficient engineering solutions
Analyzing transportation data patterns to ensure our products accurately reflect current conditions
Improving, validating, documenting, and performing analytics work
An ideal candidate for this position will be a solid developer who thinks about the physical world in which people move.
These attributes are combined to critically analyze a problem at hand, do research on viable and effective solutions, perform modeling work, implement solutions, and analytically assess the results.
You will need to communicate complex concepts and solutions to technical and nontechnical audiences through effective visualizations, statistical analysis, and documentation.
We expect you to be organized yet scrappy, thoughtful, and most importantly, have a strong desire to learn.Required Qualifications and Skills
Master's degree in mathematics, physics, computer science, analytical city planning, engineering, or geography (or equivalent degree) with 2+ years of experience in transportation / network / graph modeling, quantitative analytics, data science/engineering or a Bachelor's degree in a similar field with 4+ years of similar experience.
$125K – $195K
Location
San Diego, California or Portland, Oregon
(This position is expected to be in the office most days with ample flexibility for modified hours to support family or other personal commitments.)
Benefits
Motionworks does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factor.
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