Hybrid Data Engineer Data Engineer

TripShot moves people - offering a complete transportation platform for Public/Private Agencies offering Fixed Routes, On Demand, Payment Services, and Vanpool/Carpool/Bike, all under one platform. TripShot provides a solution that no other company is offering in the market today. TripShot continues to be the market leader for Private commute transportation.

TripShot’s Data Engineer position reports to the Director of Analytics and supports the Analytics Team. The Data Engineer will assist in the development, maintenance, optimization, and access to the analytic data infrastructure, allowing TripShot to facilitate data driven decision making.

Responsibilities:

• Design, develop, and maintain complex data pipelines in Databricks, using tools like AWS DMS, or Spark Jobs
• Develop and maintain ETL processes for large datasets
• Work closely with cross-functional teams (e.g., Product and Engineering) to integrate data into business applications and tools
• Troubleshoot complex issues related to data processing, latency, or scalability
• Stay current with latest advancements in big data technologies to improve our analytics capabilities

Requirements:

• 3 to 5 years’ experience as a Data Engineer, preferably with a focus on big data technologies like Apache Spark
• At least 3 years’ experience using Databricks
• Bachelor’s degree in data engineering, big data analytics, computer engineering, or related field is preferred
• PostGRES expertise
• Technical expertise with ETL processing and data warehousing concepts
• Proficiency in programming languages like SQL and Python
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively as part of a small team
• Passion for TripShot and what we are trying to achieve in sustainable transportation

US Citizenship Required