About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

What the Job Involves

Hayden AI seeks a data generalist to support a diverse set of stakeholders with Data and Analytics needs. We are a small team, and this is a great opportunity for someone who wants to deliver a big impact: you will operate on the intersection of Data Infrastructure, Data Engineering, Analytics, Data Science, and ML Ops. You will work with transit agencies, the customer success team, finance, product, company executives, and, last but not least, engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy. 

Responsibilities

• Design, build, and operate cloud-based data warehouse / data lake that enables large scale data analytics. 

• Operate the ETL pipelines that merge the data from multiple sources into a centralized data warehouse. 

• Build derived canonical datasets from the raw data to simplify and speed up analytical queries and make analytics accessible to less technical audiences. 

• Be the voice of the data: identify product issues using anomaly detection in various data sets, and bring it to the attention of respective stakeholders. 

• Build dashboards that track various metrics and KPIs that the company relies on. 

• Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions. Keep software development documents accurate and updated.

• Proactively remove roadblocks and escalate issues when encountered.

Qualifications

• Experience with data warehouse systems, such as Amazon Redshift, Google BigQuery, or Snowflake. From schema design to performance optimizations, and everything in between. 

• Broad knowledge of database technologies, including SQL and NoSQL (e.g. PostgreSQL, InfluxDb, Redis, DynamoDB, etc). You do not need to know all of them, but you should be comfortable in some. 

• Experience with ETL and orchestrations, such as Airbyte, DBT, Flyte, and/or Airflow.

• Experience with Business Intelligence tooling, such as Tableau or Looker. 

• 5+ years of Software / Data Engineering experience, including hands-on coding ability in modern programming languages. We use Python and Go, but you don’t have to be an expert in both. 

• BS or MS in Computer Science, Electrical Engineering, or a related field.

• Excellent communication, verbal and written.

Bonus

• Experience with CI/CD automation Test Driven Development.

• Experience with the AWS ecosystem to the extent that is needed to operate the above mentioned tools.

• Experience with geospatial, image, and video datasets. 

• Prior experience working in startups, and desire to do that again!