Job description

Company Name : tastytrade Role: Data Engineer 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) You have experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift) You understand the data product lifecycle, standards, and practices You know your way around data quality functions like cleansing, standardization, parsing, and validation You can design systems and lead projects You communicate clearly with non-engineers and engineers alike You’re proficient with version control (Git/GitHub) and command line interfaces Preferred Qualifications Kubernetes or infrastructure-as-code experience CI/CD and DevOps practices Data quality frameworks (Elementary, Great Expectations, Monte Carlo) Financial services background Advanced Airflow patterns and custom operators Experience with agile development practices and the project lifecycle Company Perks + Benefits:     Performance Bonuses    Stock Purchase Options    Medical/Vision/Dental Benefits  401k Plan   20 Paid Vacation Days (plus an additional paid vacation day the month of your birthday!)    10 Paid Sick Days    Gym Membership Reimbursement    Commuter Benefits    Pet Insurance    Wellness & Mental Health Programs    Charitable Donation Matching    Two Paid Volunteer Days Off    Daily catered lunch when in the office    Full kitchen with snacks and beverages    In-building gym    Shuttle to/from Metra    Base Salary Range: $130,000-$150,000 The actual salary offered will be based on the candidate's level of experience and qualifications. Discretionary Performance Bonus: 8-12% of base salary based on individual and company performance. About IGNA + tasty IG North America is home to tastytrade, tasty live & tastyfx—a family of brands built to democratize trading and empower individual investors. Founded in Chicago by the creators of thinkorswim, acquired by London-based IG Group in 2021, we combine startup innovation with the backing of a FTSE 100 fintech operating across five continents serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. From our headquarters in Chicago's Fulton Market, our team builds award-winning trading platforms, produces live financial education content daily, and creates technology that makes complex markets accessible. tastytrade is our retail brokerage for self-directed investing and trading, with tasty live providing content to educate our customers. tastyfx is the fastest-growing forex broker in the US. tastycrypto provides self-custody digital wallets for decentralized finance. We're a lean, collaborative team that values autonomy, pragmatism, and impact. Whether you're building technology, creating content, serving customers, or supporting operations, you'll work alongside people who are passionate about disrupting traditional finance and genuinely care about helping traders succeed. Our culture rewards initiative, embraces experimentation, and measures success by the value we create for our users. The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG|tasty – the future gets built here. Location:  Our office is in the West Loop - Chicago's growing center of tech, great cuisine, and high-end bars. tastytrade | tasty live   | tastyfx 1330 W Fulton Market, Chicago, IL 60607

Requirements

Must-haves

Company Name : tastytrade
Role: Data Engineer
Location: Chicago, IL (Hybrid, 3 days/week)
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.
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

Nice-to-haves

Kubernetes or infrastructure-as-code experience
CI/CD and DevOps practices
Data quality frameworks (Elementary, Great Expectations, Monte Carlo)
Financial services background
Advanced Airflow patterns and custom operators
Experience with agile development practices and the project lifecycle
Discretionary Performance Bonus: 8-12% of base salary based on individual and company performance.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

design systemspythonawssqlkubernetesci/cdagile

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision

401k

Pto

Wellness