Data Engineer, Traba
+ Equity
5 days a week in office
Marketplace for matching industrial workers with open shifts
Be an early applicant
Marketplace for matching industrial workers with open shifts
101-200 employees
Be an early applicant
+ Equity
5 days a week in office
101-200 employees
Company mission
To help both businesses and workers to reach their full productivity and potential.
Role
Who you are
- You are a highly skilled data engineer who thrives on building from scratch, designing scalable and efficient data infrastructure
- You work independently and take full ownership of the data infrastructure while collaborating closely with analytics, engineering, and business teams
- You build for scale and automation, ensuring that your solutions are robust, maintainable, and cost-effective
- You have a product mindset—you care about how data drives business outcomes and proactively identify ways to add value
- You are pragmatic—you balance shipping fast and iterating with designing for long-term scalability
- 4+ years of experience in Data Engineering, with a track record of building and maintaining scalable data pipelines
- Expertise in SQL and data modeling for both analytics and operational use cases
- Experience with modern data platforms like Databricks, Snowflake, BigQuery, or Redshift
- Strong background in ETL/ELT development using dbt, Airflow, or Spark
- Proficiency in Python or equivalent for data processing and automation
- A deep understanding of data pipeline performance tuning, cost efficiency, and observability
- Experience owning and scaling data infrastructure independently
- A strong bias toward automation, ensuring that data pipelines are robust, reliable, and easy to maintain
- A growth mindset—you’re eager to establish best practices and mentor others as the team expands
What the job involves
- We are seeking an experienced & entrepreneurial Data Engineer to build and own the foundational data infrastructure at Traba.
- You will have the unique opportunity to design, architect, and scale our data platform, enabling advanced analytics, reporting, and data-driven decision-making across the company.
- You will report directly to the CTO and be a key member of the Data team, working closely with analytics and business stakeholders to ensure that our data is reliable, scalable, and actionable
- Architect and build the company’s scalable data infrastructure, ensuring our data pipelines are robust, reliable, and optimized for performance
- Own and optimize ETL/ELT workflows using tools like dbt, Airflow, Spark, and/or Snowflake/Databricks
- Develop and maintain data models that serve as the foundation for analytics, reporting, and operational insights
- Collaborate with data analysts and software engineers to design pipelines that transform raw data into actionable insights
- Implement data governance best practices, ensuring high data quality, lineage, and observability
- Support the adoption of a modern data stack, making technical decisions that will define our data engineering approach for years to come
- Stay up to date with the latest industry trends and technologies in data engineering and AI and incorporate them into the team's practices
- Work directly with stakeholders to understand business needs and ensure our data infrastructure is aligned with company objectives
Our take
Traba aims to revolutionize the gig economy within the warehousing and events sector by addressing current shortcomings. While the gig economy has provided flexibility elsewhere, it has struggled in these industries, often leading to disengaged workers and exploitative practices.
Trada distinguishes itself by verifying worker credentials and setting a minimum wage to ensure fair compensation, which helps mitigate issues seen in other short-term staffing solutions. The platform offers benefits like instant pay-outs and automation features for invoicing and reporting, enhancing efficiency for both workers and employers.
With significant funding secured in 2022, Treaba plans to expand operations across the US, prioritizing states like Texas with robust light industry sectors. Future developments include enhancing the platform with new apps and tools to streamline communication and further improve user experience.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2023
$22m
SERIES B
Jul 2022
$20m
SERIES A
Total funding: $45.6m
Company HQ
Tribeca, New York, NY
Leadership
Mike Shebat
(CEO)Experience as General Manager for McCaster-Carr. Also served as a Senior Manager of Global Products for Uber from 2016 to 2021.
Akshay Buddiga
(CTO)Experience as Product Operations Analyst for Zenefits. Also served as a Senior Engineering Manager for Fanatics, Inc. from 2016 to 2021.
Salary benchmarks
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