About Truelogic
Truelogic is a powerhouse in nearshore staff augmentation, calling New York home and boasting over two decades of delivering cutting-edge technology solutions. We're not just another tech services firm – we're digital transformation partners who work with everyone from scrappy startups to Fortune 500 titans.
Our roster of 600+ tech professionals across Latin America doesn't just support projects; we drive digital disruption. By bridging top talent with innovative U.S. companies, we're creating tech solutions that genuinely move the needle.
When you apply here, you're not just submitting a resume – you're taking the first step toward a career where your skills can truly shine. We're committed to matching your expertise with opportunities that spark real professional growth and let you contribute to groundbreaking work.
Our Client
A pioneering analytics platform specializing in the Cannabis industry and specialty product markets. They turn complex marketplace data into actionable intelligence, empowering brands, retailers, and consumers to make smarter, more informed decisions.
Job Summary
We're seeking a data engineering pro to join a dynamic team focused on refining data processes, enhancing monitoring, and driving operational improvements. You'll collaborate across application development, data engineering, and customer success teams to transform raw data into meaningful insights.
Responsibilities
Collaborate with cross-functional teams to gather and define technical requirements.
Translate business needs into scalable and efficient data architecture and solutions.
Build and deploy data solutions using modern data tools and the client's analytics stack.
Develop a deep understanding of the organization's data and be a trusted expert on best practices for usage.
Design and implement robust data models using Snowflake and DBT.
Perform ad-hoc analyses to identify issues, diagnose anomalies, and recommend solutions.
Utilize AWS services to design and optimize data pipelines and infrastructure.
Evaluate and recommend alternative cloud-based approaches to improve efficiency and scalability.
Qualifications and Job Requirements
3–5 years of data engineering experience or equivalent experience in software engineering.
Proficiency in Python and SQL for scripting and data manipulation.
Experience with DBT and Snowflake (or similar cloud data warehouses such as BigQuery or Azure DWH).
Solid understanding of AWS-based data infrastructure (S3, Lambda, EC2).
Nice to have
Additional scripting in Bash.
Experience with orchestration tools like Prefect.
Infrastructure as Code (Terraform) and containerization (Docker).
Familiarity with GitHub and Jira for code management and project tracking.
Experience with web scraping.
Background working with retail point-of-sale data or integration within the Cannabis industry is a big plus.
What We Offer
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You'll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
