Senior Data Analytics Engineer / Hybrid in West LA 2 Days / Series A Startup / ETL Pipelines
West Los Angeles, California
Hybrid
Full Time
$150k - $170k
Job Description
This is a full-time hybrid opportunity based in the Los Angeles metro area with a fast-growing, VC-backed startup that’s using modern tech to bring transparency and automation to a traditionally outdated industry. You’ll join a small, agile team that uses tools like Python, SQL, AWS, and PostgreSQL to build scalable data systems with real-world impact.
Are you excited by the idea of solving messy data challenges and building smart, impactful analytics solutions from scratch? This company is looking for someone who thrives in a startup environment, loves data, and wants to make a difference in the movement of physical goods. This is your chance to work closely with founders and engineers on a mission-driven product that’s already proven, profitable, and scaling fast. If you're entrepreneurial, collaborative, and want to grow into a leader in data engineering and analytics, this is your moment.
Required Skills & Experience
· 3+ years in data engineering, data analytics, or data warehousing
· Advanced SQL skills and experience with relational databases
· Proficiency in Python or a similar language for data processing
· Strong understanding of ETL pipelines and data pipeline frameworks
· Experience building dashboards and reports in Tableau, Looker, Power BI
· Strong communication skills and ability to work cross-functionally
· Ability to turn raw data into clear, actionable business insights
Desired Skills & Experience
· Familiarity with AWS, GCP, or Azure
· Exposure to data science, ML, or predictive analytics projects
· Previous experience in a logistics, supply chain, or transportation environment
· Comfort with fast-paced, startup environments
What You Will Be Doing
Tech Breakdown
· 60% Data Engineering (ETL pipelines, infrastructure, optimization)
· 30% Data Analytics (dashboards, ad hoc reports, insights)
· 10% Cross-functional Collaboration (Product, Engineering, Ops)
Daily Responsibilities
· 70% Hands-On
· 10% Strategic Planning/Design
· 20% Team Collaboration
The Offer
· Equity eligibility
You will receive the following benefits:
· Medical, Dental, and Vision Insurance
· Unlimited PTO
· Equity/Stock Options
· Flexible work environment and schedule
· Growth potential with mentorship from seasoned founders and engineers
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This is a full-time hybrid opportunity based in the Los Angeles metro area with a fast-growing, VC-backed startup that’s using modern tech to bring transparency and automation to a traditionally outdated industry. You’ll join a small, agile team that uses tools like Python, SQL, AWS, and PostgreSQL to build scalable data systems with real-world impact.
Are you excited by the idea of solving messy data challenges and building smart, impactful analytics solutions from scratch? This company is looking for someone who thrives in a startup environment, loves data, and wants to make a difference in the movement of physical goods. This is your chance to work closely with founders and engineers on a mission-driven product that’s already proven, profitable, and scaling fast. If you're entrepreneurial, collaborative, and want to grow into a leader in data engineering and analytics, this is your moment.
Required Skills & Experience
· 3+ years in data engineering, data analytics, or data warehousing
· Advanced SQL skills and experience with relational databases
· Proficiency in Python or a similar language for data processing
· Strong understanding of ETL pipelines and data pipeline frameworks
· Experience building dashboards and reports in Tableau, Looker, Power BI
· Strong communication skills and ability to work cross-functionally
· Ability to turn raw data into clear, actionable business insights
Desired Skills & Experience
· Familiarity with AWS, GCP, or Azure
· Exposure to data science, ML, or predictive analytics projects
· Previous experience in a logistics, supply chain, or transportation environment
· Comfort with fast-paced, startup environments
What You Will Be Doing
Tech Breakdown
· 60% Data Engineering (ETL pipelines, infrastructure, optimization)
· 30% Data Analytics (dashboards, ad hoc reports, insights)
· 10% Cross-functional Collaboration (Product, Engineering, Ops)
Daily Responsibilities
· 70% Hands-On
· 10% Strategic Planning/Design
· 20% Team Collaboration
The Offer
· Equity eligibility
You will receive the following benefits:
· Medical, Dental, and Vision Insurance
· Unlimited PTO
· Equity/Stock Options
· Flexible work environment and schedule
· Growth potential with mentorship from seasoned founders and engineers
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.