{"id":2848682,"url":"https://alion.io/job/trading-technologies-data-engineer","title":"Data Engineer","company":{"id":184522,"name":"Trading Technologies","domain":"tradingtechnologies.com","url":"https://alion.io/company/trading-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":94500,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Liquibase","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Claude Code","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-18T12:20:29Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-26T23:44:58Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"We are looking for a Data Engineer with strong Microsoft SQL Server and Snowflake experience to join our Data & Analytics engineering team.\nThis 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.\nYou 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.\nTech Stack\nLanguages: SQL, Python, C#; scripting experience\nDatabases: Microsoft SQL Server, Snowflake\nData Engineering: ETL/ELT, Apache Airflow, data pipelines\nCloud: AWS, including S3 and other AWS data services\nDevelopment: Git, CI/CD, Liquibase, automated testing and deployment\n Data: Market data, trade data, transaction cost analysis, and financial data\nKey Responsibilities\nDevelop, maintain, and optimize complex SQL Server queries, stored procedures, functions, views, and data processing workflows.\nDesign and develop scalable Snowflake data solutions, including data models, SQL transformations, loading processes, and analytical workloads.\nParticipate in the migration of large volumes of data and processing from SQL Server to Snowflake.\nAnalyze existing SQL Server logic and translate or redesign it for Snowflake where appropriate.\nBuild and maintain ETL/ELT pipelines using SQL, Python, and workflow orchestration tools such as Apache Airflow.\nDevelop data ingestion and processing workflows using AWS, including S3.\nPerform SQL Server and Snowflake performance tuning, including query optimization, execution plans, indexing, statistics, warehouse sizing, and workload optimization.\nBuild data validation and reconciliation processes to ensure migrated and transformed data is accurate and complete.\nTroubleshoot production data issues, identify root causes, and implement reliable long-term solutions.\nImplement monitoring, logging, alerting, and operational controls for critical data pipelines.\nCollaborate with software engineers, service managers and implementation team, product teams, and DevOps.\nSupport and enhance existing Transaction Cost Analysis (TCA) products and develop new functionality.\nWork with large-scale trade, market, benchmark, and financial data.\nSkills, Knowledge and Expertise\nEssential Skills & Experience\nEducational Background:\nBachelor’s degree in Computer Science, Data Engineering, or a related field.\n\nTechnical Skills:\nHands-on experience with Snowflake and AWS Cloud services (particularly S3 and data services).\nStrong hands-on SQL development experience.\nPython & C# scripting experience\nStrong experience with Microsoft SQL Server, including complex queries, stored procedures, performance tuning, and troubleshooting.\nExperience working with large datasets and production data systems.\nStrong analytical and problem-solving skills.\n Desirable Skills & Experience\nExperience migrating SQL Server workloads to Snowflake or another cloud data platform.\nExperience with Apache Airflow or similar orchestration technologies.\nExperience with Git, CI/CD, Liquibase and automated deployment processes.\nExperience with data quality, reconciliation, and data governance.\nKnowledge of capital markets, trading, market data, or financial systems.\nExperience with Transaction Cost Analysis (TCA) or other financial analytics.\nSnowflake or AWS certification.\nAI-Assisted Development:\nWe encourage engineers to use modern AI-assisted development tools, such as Claude Code to accelerate development, debugging, testing, refactoring, and migration work.\nCandidates should understand how to use AI effectively while independently validating generated code for correctness, security, performance, and maintainability.\nBenefits\nCompetitive Benefits & Perks We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.\n Health & Financial Security:Medical, Dental, and Vision insurance\nFlexible Spending Accounts (FSA) & Health Savings Accounts (HSA)\n401(k) retirement plan\nPre-tax transit and parking benefits\n\n 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.\n22 days of Paid Time Off (PTO) per year, with the option to roll over unused days.\nOne dedicated day per year for volunteering.\nTwo professional development days per year to allow uninterrupted professional development.\nAn additional PTO day added during milestone anniversary years.\nRobust paid holiday schedule with early dismissal.\nGenerous parental leave for all parents (including adoptive parents).\n\nWork-Life Support & Resources:Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment.\nBackup child and pet care, as well as tutoring services.\nMilestone anniversary bonuses.\n\n Wellness & Lifestyle Perks:Stipend and subsidy contributions toward personally-owned cell phones\nContributions for gym memberships and health/wellness initiatives.\nDiscounted healthcare premiums.\nHealthy meal delivery program subsidies.\n\nTrading 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.\n\nTrading 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.\nThis investment supports Trading Technologies’ continued focus on product innovation, platform scalability, and long-term growth for customers and partners worldwide.\n\nTrading 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. 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