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Open nowFirst seen 34 hours ago

Data Engineer

Trading Technologies22 open roles

Pay
$94,500 – $115,000 a year
Where
New York
Work mode
Hybrid
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Your applicationOpen nowData EngineerTrading Technologies · New York

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Trading Technologies postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

Trading Technologies median: 1 days open

The posting

We are looking for a Data Engineer with strong Microsoft SQL Server and Snowflake experience to join our Data & Analytics engineering team.

This role is ideal for an engineer who enjoys working with large-scale data, complex SQL, data pipelines, and production systems and wants to play a key role in modernizing a large SQL Server-based data platform to Snowflake and AWS.

You will work across both our existing SQL Server environment and our modern cloud data platform, developing new capabilities while helping migrate and optimize existing data processing.

Tech Stack

  • Languages: SQL, Python, C#; scripting experience
  • Databases: Microsoft SQL Server, Snowflake
  • Data Engineering: ETL/ELT, Apache Airflow, data pipelines
  • Cloud: AWS, including S3 and other AWS data services
  • Development: Git, CI/CD, Liquibase, automated testing and deployment
  • Data: Market data, trade data, transaction cost analysis, and financial data

Key Responsibilities

  • Develop, maintain, and optimize complex SQL Server queries, stored procedures, functions, views, and data processing workflows.
  • Design and develop scalable Snowflake data solutions, including data models, SQL transformations, loading processes, and analytical workloads.
  • Participate in the migration of large volumes of data and processing from SQL Server to Snowflake.
  • Analyze existing SQL Server logic and translate or redesign it for Snowflake where appropriate.
  • Build and maintain ETL/ELT pipelines using SQL, Python, and workflow orchestration tools such as Apache Airflow.
  • Develop data ingestion and processing workflows using AWS, including S3.
  • Perform SQL Server and Snowflake performance tuning, including query optimization, execution plans, indexing, statistics, warehouse sizing, and workload optimization.
  • Build data validation and reconciliation processes to ensure migrated and transformed data is accurate and complete.
  • Troubleshoot production data issues, identify root causes, and implement reliable long-term solutions.
  • Implement monitoring, logging, alerting, and operational controls for critical data pipelines.
  • Collaborate with software engineers, service managers and implementation team, product teams, and DevOps.
  • Support and enhance existing Transaction Cost Analysis (TCA) products and develop new functionality.
  • Work with large-scale trade, market, benchmark, and financial data.

Skills, Knowledge and Expertise

Essential Skills & Experience

Educational Background:

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Technical Skills:

  • Hands-on experience with Snowflake and AWS Cloud services (particularly S3 and data services).
  • Strong hands-on SQL development experience.
  • Python & C# scripting experience
  • Strong experience with Microsoft SQL Server, including complex queries, stored procedures, performance tuning, and troubleshooting.
  • Experience working with large datasets and production data systems.
  • Strong analytical and problem-solving skills.

Desirable Skills & Experience

  • Experience migrating SQL Server workloads to Snowflake or another cloud data platform.
  • Experience with Apache Airflow or similar orchestration technologies.
  • Experience with Git, CI/CD, Liquibase and automated deployment processes.
  • Experience with data quality, reconciliation, and data governance.
  • Knowledge of capital markets, trading, market data, or financial systems.
  • Experience with Transaction Cost Analysis (TCA) or other financial analytics.
  • Snowflake or AWS certification.

AI-Assisted Development:

  • We encourage engineers to use modern AI-assisted development tools, such as Claude Code to accelerate development, debugging, testing, refactoring, and migration work.
  • Candidates should understand how to use AI effectively while independently validating generated code for correctness, security, performance, and maintainability.

Benefits

Competitive Benefits & Perks We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.

  • Health & Financial Security:Medical, Dental, and Vision insurance Flexible Spending Accounts (FSA) & Health Savings Accounts (HSA) 401(k) retirement plan Pre-tax transit and parking benefits
  • Time Off & Flexibility:Enjoy the best of both worlds: the energy and collaboration of in-person work, combined with the convenience and focus of remote days. This is a hybrid position requiring three days of in-office collaboration per week, with the flexibility to work remotely for the remaining two days. Our hybrid model is designed to balance individual flexibility with the benefits of in-person collaboration, enhanced team cohesion, spontaneous innovation, hands-on mentorship opportunities and strengthens our company culture. 22 days of Paid Time Off (PTO) per year, with the option to roll over unused days. One dedicated day per year for volunteering. Two professional development days per year to allow uninterrupted professional development. An additional PTO day added during milestone anniversary years. Robust paid holiday schedule with early dismissal. Generous parental leave for all parents (including adoptive parents).
  • Work-Life Support & Resources:Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment. Backup child and pet care, as well as tutoring services. Milestone anniversary bonuses.
  • Wellness & Lifestyle Perks:Stipend and subsidy contributions toward personally-owned cell phones Contributions for gym memberships and health/wellness initiatives. Discounted healthcare premiums. Healthy meal delivery program subsidies.

Trading Technologies (www.tradingtechnologies.com) is a global capital markets platform services company providing market-leading technology for the end-to-end trading operations of Tier 1 banks, brokerages, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. With its roots in listed derivatives, the Software-as-a-Service (SaaS) company delivers “multi-X” solutions, with “X” representing asset classes, functions, workflows, and geographies. This multi-X approach features trade execution services across futures and options, fixed income, foreign exchange (FX), and cryptocurrencies, augmented by solutions for data and analytics, including transaction cost analysis (TCA); quantitative trading; compliance and trade surveillance; clearing and post-trade allocation; and infrastructure services. The award-winning TT platform ecosystem also helps exchanges deliver innovative solutions to their market participants and technology companies to distribute their complementary offerings to Trading Technologies’ clients.

Trading Technologies is backed by leading global investment firms Thoma Bravo, one of the world’s largest and most experienced software investors, and 7Ridge, a global growth equity firm focused on technology-enabled businesses.

This investment supports Trading Technologies’ continued focus on product innovation, platform scalability, and long-term growth for customers and partners worldwide.

Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies’ practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information, parental status, veteran, or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.

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