Data Engineer

tastylive, Inc.; Chicago (IL); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Tastylive, Inc. in Chicago, IL is seeking a Data Engineer to join our Analytics team. You will own data pipeline architecture, upskill teammates, and influence how we build our data platform.

You will design systems, make tech decisions, ship, and iterate. Collaborate with data scientists, engineers, and analysts to own end-to-end data flows and dashboards.

Qualifications

• 2–5 years of professional data engineering experience.
• Expert SQL skills with ruthless optimization.
• Real dbt production experience.
• Production-grade Python coding experience.

Responsibilities

• Design and build scalable data pipelines with dbt, Python, Airflow, and Snowflake.
• Own pipeline architecture and drive platform improvements.
• Write ELT code with Git and automated testing.
• Lead data quality and observability efforts.
• Collaborate with upstream/downstream teams and stakeholders.
• Contribute to data visualization and reporting in Tableau.
• Upskill teammates through code reviews and design collaboration.

Skills

SQL

dbt

Python

Airflow

Data pipelines

Tools

Snowflake

Tableau

AWS

GitHub

ArgoCD

Grafana

Job description

Location: Chicago, IL (Hybrid, 3 days/week)

About the Role

We’re looking for a Data Engineer to join our Analytics team. You’ll own data pipeline architecture, upskill those around you, and have real influence on how we build our data platform.

You’ll be part of a full stack data team of data scientists, data engineers, and analysts who take full ownership of our data pipelines and feature generation. This is a full-scope role: you’ll design systems, make tech decisions, ship, and iterate. If you have a good idea and can execute it, we’d love to learn from you.

Our team works with Snowflake, dbt, Airflow, Tableau, Python, AWS (S3, ECR, EKS), GitHub, ArgoCD, Elementary, and Grafana.

What You’ll Do

• Design and build scalable data pipelines using dbt, Python, Airflow, and Snowflake to support business processes, such as our executive reporting dashboards
• Own pipeline architecture and performance, and drive strategic initiatives to improve our data platform
• Make architectural decisions, including schema design, tool selection, and trade-offs
• Own data quality and observability, and build the infrastructure that keeps our data right
• Write ELT code using modern data engineering practices, including Git and automated testing and deployments
• Debug production data issues when they break (and they will)
• Process, clean, and validate data from a variety of external sources and internal data pipelines
• Lead ad-hoc analysis using internal and external data sources to help teams understand how customers interact with our products
• Collaborate with upstream data producers (Software Engineering/DevOps) and downstream data consumers (Marketing, Product, and Leadership)
• Contribute to data visualization and reporting efforts in Tableau
• Upskill those around you through code review, design collaboration, and knowledge sharing
• Optimize performance, improve processes, and level up team practices

Who You Are

• You have 2-5 years of professional data engineering experience
• You have expert SQL skills: you think in queries and optimize ruthlessly
• You have real dbt experience, meaning actual production work and not just exposure
• You write solid Python, with production code rather than scripts
• You have hands-on experience with Airflow (or Prefect/Dagster)