Data Engineer
Chicago, Illinois
- Pay
$130,000–150,000/year · BaseAnnual period assumed — pay source
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.
Read the full posting- Work setting
Hybrid — work setting source
Role: Data Engineer Location: Chicago, IL (Hybrid, 3 days/week) About the Role
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingWe’re looking for a Data Engineer to join our Analytics team.
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.
You’ll own data pipeline architecture, upskill those around you, and have real influence on how we build our data platform.
Design and build scalable data pipelines using dbt, Python, Airflow, and Snowflake to support business processes, such as our executive reporting dashboards
Optimize performance, improve processes, and level up team practices
From the employer’s posting
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.
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.
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
Upskill those around you through code review, design collaboration, and knowledge sharing Optimize performance, improve processes, and level up team practices Who You Are
What you’ll bring
All qualificationsCore experience
- You have 2-5 years of professional data engineering experience
- You have hands-on experience with Airflow (or Prefect/Dagster)
- You have experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift)
Preferred experience
- Experience with agile development practices and the project lifecycle
- 20 Paid Vacation Days (plus an additional paid vacation day the month of your birthday!)
Qualification wording
You have 2-5 years of professional data engineering experience
You have hands-on experience with Airflow (or Prefect/Dagster)
You have experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift)
Experience with agile development practices and the project lifecycle
20 Paid Vacation Days (plus an additional paid vacation day the month of your birthday!)
Tools in this posting
- Python
- SQL
- AWS
- BigQuery
- dbt
- Grafana
- Kubernetes
- Prefect
- Redshift
- S3
- Snowflake
- Tableau
- Airflow
- Dagster
- Great Expectations
Source — Tool mentions in context
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
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
- 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 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 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 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
Preferred Qualifications - Kubernetes or infrastructure-as-code experience - CI/CD and DevOps practices
- 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)
- 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
- CI/CD and DevOps practices - Data quality frameworks (Elementary, Great Expectations, Monte Carlo) - Financial services background
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 8 days ago
- Recorded sightings
- 9
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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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, tastylive & 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 tastylive 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 | tastylive | tastyfx
1330 W Fulton Market, Chicago, IL 60607
Source details
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- Pay
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.
- Location & working pattern
Chicago, Illinois
Role: Data Engineer Location: Chicago, IL (Hybrid, 3 days/week) About the Role
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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