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Data Analytics Engineer

BlueCargo provides real-time information for trucking companies that move cargo from marine ports to first warehouses.
$120,000 - $170,000
Data
Senior Software Engineer
Hybrid
11 - 50 Employees
6+ years of experience
Logistics

Description For Data Analytics Engineer

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.

We're seeking a Data Analytics Engineer to work at the intersection of data engineering and analytics, transforming raw data into actionable insights. You'll be joining a company that has raised Series A funding in 2022, has strong product-market fit, and is trusted by hundreds of active customers.

Key Responsibilities:

  • Design, build, and maintain scalable ETL pipelines to integrate data from various sources
  • Develop and maintain dashboards for monitoring KPIs and business metrics
  • Perform ad-hoc data analysis and support cross-functional teams
  • Translate business requirements into technical solutions
  • Optimize data processes for efficiency and scalability

Tech Stack:

  • Backend: Python/Django
  • Frontend: JavaScript
  • Infrastructure: AWS (Lambda, RDS, S3), CircleCI
  • Database: PostgreSQL

You'll be working with a team of 12 engineers + 5 in product, in a hybrid setting from our HQ in Culver City, Los Angeles. This role offers the opportunity to shape the future of logistics technology while working alongside a mission-driven founding team, including two female YC alumni.

Benefits include:

  • Medical benefits
  • Unlimited PTO
  • Flexible and international environment
  • Equity participation
  • Being part of a Y Combinator company

Join us in our mission to bring transparency, efficiency, and automation to global trade—one container at a time.

Last updated a month ago

Responsibilities For Data Analytics Engineer

  • Design and maintain scalable ETL pipelines
  • Develop dashboards and reporting solutions for KPIs
  • Perform ad-hoc data analysis
  • Work with product and engineering teams
  • Optimize data processes for efficiency
  • Ensure data quality and consistency

Requirements For Data Analytics Engineer

Python
PostgreSQL
  • 3+ years in data analytics engineering, data warehousing, or related roles
  • Proficiency in SQL and experience with relational databases
  • Strong programming skills in Python for data processing and analysis
  • Experience with ETL tools and data pipeline frameworks
  • Familiarity with data visualization tools (Tableau, Looker, Power BI, or Sigma)
  • Excellent communication skills
  • Problem-solving mindset

Benefits For Data Analytics Engineer

Medical Insurance
Equity
  • Medical Insurance
  • Unlimited PTO
  • Equity

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