Data Engineer
Back to All JobsEmployee Type
Full-Time
Location
USA (Remote)
Job Type
Business Services
Job ID
3264
#WeAreTradeStation
Who We Are:
TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators.
At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that's using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you're joining a culture where AI is how we work.
Are you ready to make yourself at home?
At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that's using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you're joining a culture where AI is how we work.
Are you ready to make yourself at home?
What We Are Looking For:
We are seeking a Data Engineer to join the Enterprise Analytics team. The team helps TradeStation extract valuable business insights from raw data scattered across dozens of silos and teams. Our Data Engineers ensure that our data is fresh, accurate, and meaningful to our business stakeholders.
The ideal candidate is a lifelong learner and self-starter who is constantly looking for new ways to solve old problems. Working with big data, this role will seek to find creative solutions to improve our efficiency, speed, and cost and help us develop them one Agile sprint at a time. This position will be instrumental in migrating from legacy data pipelines to our new lake-house architecture.
The ideal candidate is a lifelong learner and self-starter who is constantly looking for new ways to solve old problems. Working with big data, this role will seek to find creative solutions to improve our efficiency, speed, and cost and help us develop them one Agile sprint at a time. This position will be instrumental in migrating from legacy data pipelines to our new lake-house architecture.
What You'll Be Doing:
- •Assist in building a modern lake data warehouse
- •Leverage AI‑assisted tools to automate routine pipeline maintenance, detect data quality issues, and resolve structural changes with minimal manual intervention
- •Create data pipelines using DevOps practices to ensure code is constantly tested, performant, and delivered
- •Assist in building and optimizing event‑driven, real‑time data pipelines, incorporating AI models for anomaly detection, fraud detection, or predictive routing
- •Integrate and support agentic AI systems that autonomously monitor, optimize, and trigger data workflows
- •Write Python and SQL solutions for data transformation, applying test-driven development principles and automated data quality controls
- •Implement AI governance and observability practices, ensuring transparent data lineage, quality checks, auditability, and compliance for machine‑learning‑driven workloads
- •Utilize generative AI tools to accelerate documentation, code generation, data analysis, and automated reporting workflows
- •Process unstructured data from SQL DBs or JSON, Parquet, CSV files, or Rest APIs
- •Assist building data pipelines while considering scalability and efficiency
The Skills You Bring:
- •Experience integrating AI agents into data workflows
- •Ability to leverage generative AI tools (e.g., Copilot, ChatGPT) for coding, documentation, and analytics automation
- •Experience with Python, Pandas, Py-Spark, ML Flow, Delta Lake
- •Experience with Amazon Web Services and/or Azure clouds.
- •Experience with SSIS, SSRS, Data-Factory
- •Experience Databricks and Synapse
- •Experience with Git, Azure DevOps/Jenkins/Gitlab, Kubernetes
- •Experience data processing systems and pipelines on Databricks, APIs, and AWS Services
- •Ability to build the infrastructure required for optimal extraction, transformation, and data loading from various sources
- •Knowledge of data storage and data processing preferred
Minimum Qualifications:
- •Bachelor's or master's degree in computer science, Engineering, or a related field
- •2+ years of experience in data engineering, big data, and data warehousing
Benefits at TradeStation
- ○Collaborative work environment
- ○Competitive Salaries
- ○Yearly bonus
- ○Comprehensive benefits for you and your family starting Day 1
- ○Unlimited Paid Time Off
- ○Flexible working environment
- ○TradeStation Account employee benefits, as well as full access to trading education materials
- ○Pay Range (US) $88-100K (Countries outside of the US have differing ranges in accordance with local labor markets)
TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.
Benefits at TradeStation
- ○Collaborative work environment
- ○Competitive Salaries
- ○Yearly bonus
- ○Comprehensive benefits for you and your family starting Day 1
- ○Unlimited Paid Time Off
- ○Flexible working environment
- ○TradeStation Account employee benefits, as well as full access to trading education materials
- ○Pay Range (US) $88-100K (Countries outside of the US have differing ranges in accordance with local labor markets)