Data Analytics Engineer

About BlueCargo

BlueCargo is a fast-growing, VC-backed technology company transforming the logistics and supply chain industry. As the leader in container visibility and freight audit automation, our platform integrates fragmented data from terminals, carriers, and ports to deliver a single, intelligent interface that empowers shippers and logistics providers to make better, faster decisions. Our mission is to bring transparency, efficiency, and automation to global trade—one container at a time.

Backed by Y Combinator (W18) and leading investors, we raised our Series A in 2022 and are entering an exciting growth stage. Our platform is already trusted by hundreds of active customers and is helping them eliminate millions in unnecessary freight costs each year. As we scale, we’re investing deeply in engineering leadership to evolve our architecture, expand product capabilities, and lead the industry in data-driven logistics.

Why Join Now?

This is a rare opportunity to shape the future of a company with strong product-market fit, a modern tech stack, and real-world impact. You’ll work alongside a mission-driven founding team (including two female YC alumni), take ownership of a fast-growing engineering org, and play a key role in building a category-defining product that powers the global supply chain.

Our Tech Landscape

• Backend: Python / Django
• Frontend: JavaScript
• Infrastructure: AWS (Lambda, RDS, S3), CircleCI
• Database: PostgreSQL
• Team: 12 engineers + 5 in product
• Location: Hybrid from our HQ in Culver City, Los Angeles

OPPORTUNITY OVERVIEW

Mission/Responsibilities

In this role, you’ll be at the intersection of data engineering and analytics, transforming raw data into actionable insights that drive strategic decisions and improve our product offerings. You will work closely with our Product, Engineering, and Operations teams to build robust data pipelines, develop insightful dashboards, and support our data science initiatives.

• Data Pipeline Development:
  • Design, build, and maintain scalable ETL pipelines to integrate data from various sources.
  • Ensure data quality and consistency across our data infrastructure.
• Analytics & Reporting:
  • Develop, automate, and maintain dashboards and reporting solutions to monitor key performance indicators (KPIs) and business metrics.
  • Perform ad-hoc data analysis and support cross-functional teams with data-driven insights.
• Collaboration & Communication:
  • Work closely with product and engineering teams to understand their data needs.
  • Translate business requirements into technical solutions and clearly communicate findings to both technical and non-technical stakeholders.
• Continuous Improvement:
  • Optimize existing data processes to improve efficiency and scalability.
  • Stay abreast of industry trends and best practices in data analytics, data engineering, and visualization.

Qualifications

In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.

• Experience: 3+ years in data analytics engineering, data warehousing, or related roles.
• Technical Skills:
  • Proficiency in SQL and experience with relational databases.
  • Strong programming skills in Python (or similar languages) for data processing and analysis.
  • Experience with ETL tools and data pipeline frameworks.
  • Familiarity with data visualization tools such as Tableau, Looker, Power BI, or Sigma.
• Analytical Mindset: Ability to turn complex data sets into clear, actionable insights.
• Collaboration: Excellent communication skills with a track record of working effectively in cross-functional teams.
• Bonus: Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure) and exposure to machine learning or advanced analytics projects.

Classification

• Perks: Medical benefits + unlimited PTO
• Fun perks: flexible and international environment
• Support/Community: Enjoy being a member of a Y Combinator company!