BlueCargo
Join to apply for the
Data Analytics Engineer
role at
BlueCargo 3 weeks ago Be among the first 25 applicants Join to apply for the
Data Analytics Engineer
role at
BlueCargo This range is provided by BlueCargo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $170,000.00/yr 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
Mission/Responsibilities
OPPORTUNITY OVERVIEW
\ 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!
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BlueCargo by 2x Get notified about new Data Engineer jobs in
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Data Analytics Engineer
role at
BlueCargo 3 weeks ago Be among the first 25 applicants Join to apply for the
Data Analytics Engineer
role at
BlueCargo This range is provided by BlueCargo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $170,000.00/yr 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
Mission/Responsibilities
OPPORTUNITY OVERVIEW
\ 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!
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BlueCargo by 2x Get notified about new Data Engineer jobs in
New York, NY . New York, NY $46.63-$134,000.00 3 days ago New York City Metropolitan Area 3 weeks ago New York, NY $126,100.00-$186,800.00 4 days ago New York City Metropolitan Area $119,000.00-$137,000.00 1 week ago New York, NY $175,000.00-$230,000.00 1 week ago Data Engineer, Analytics (Technical Leadership)
New York, NY $206,000.00-$281,000.00 2 weeks ago New York, NY $114,000.00-$171,000.00 2 weeks ago New York, NY $170,000.00-$240,000.00 3 months ago New York, NY $170,000.00-$250,000.00 1 week ago New York, NY $124,000.00-$176,000.00 2 weeks ago New York, NY $173,000.00-$242,000.00 2 weeks ago New York, NY $145,000.00-$204,000.00 2 weeks ago New York, NY $90,000.00-$130,000.00 2 months ago New York, NY $150,000.00-$200,000.00 1 month ago Software Engineer, Search Infrastructure
New York, NY $220,000.00-$260,000.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr