Senior Data Engineer - Spatial Data

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

Jacobs has acquired StreetLight Data, a mobility analytics solution provider – marking the company’s second strategic acquisition in recent months and building on its strong foundation of existing technology and #data capabilities. StreetLight pioneered the use of Big Data analytics to help transportation professionals and data analysts measure, analyze and improve transportation. Applying proprietary machine-learning algorithms to location data from mobile phones, vehicle navigation devices and IoT, StreetLight sheds light on travel patterns and makes them available on-demand via the world’s first SaaS platform for mobility, StreetLight InSight®. From measuring traffic volumes to optimizing new infrastructure to planning for autonomous vehicles, StreetLight powers more than 10,000 projects every month.

StreetLight continues to operate as an independent software organization. StreetLight Data is seeking a creative, versatile, and motivated Senior Data Engineer to be part of our growing team. This team member will lead data engineering projects to develop and maintain data pipelines for our product, as well as help productize those data products and algorithms into our scalable StreetLight InSight® analytics platform. This position reports the Director of Data Science.

Location Remote in the Canada with strong preference near Vancouver

Responsibilities

• Build and maintain data pipelines for processing data and empowering analytics at scale
• Optimize pipelines, dashboards, frameworks, and systems to facilitate development of data artifacts. Transform raw data into cleaned, organized and actionable formats. Solve data integration problems
• Ensure high scalability and performance of software components and systems, with optimal use of machine resources
• Productize data science algorithms within the StreetLight InSight® platform, in collaboration with the Application Engineering team
• Define and implement customized and/or cutting-edge solutions for customers
• Interface among our San Francisco, Vancouver and Eastern European teams Collaborate with engineers, product managers, and data scientists to understand data needs. Participate in peer design and code reviews
  
  
  

Here's what you'll need

• BS/MS in Computer Science, Mathematics or an Engineering discipline from a top university
• 3-5 years of experience in developing software and/or data products, with programming experience with Python, and one other language (Scala, Java, Rust, ect). Strong skills in algorithms, data structures, technical design and software architecture
• 2+ years of experience in SQL and relational databases (PostgreSQL or Big Query preferred), and good understanding of relational concepts
• Experience with cloud and/or big data technologies
• Strong data analysis skills, statistics, knowing what can/cannot be possible, and ability to visualize data in the best way possible
• Good communication skills - written, visual (presentations), and verbal
• Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms
• Quick learner, and a strong team player
  
  
  

Preferred

• Geo-spatial skills are a plus
• Knowledge of transportation data / industry is a plus
  
  
  

Posted Salary Range Minimum

118,000.00

Posted Salary Range Upper

160,000.00

The base salary range for this position is $118,000.00 to $160,000.00. This range reflects the minimum and maximum target for new hire salaries for the position across British Columbia, Canada locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.