Software Engineer, Data Team

🔥 4 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Confluence

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1991

💸 Finance

💳 Fintech

☁️ SaaS

Finance • Fintech • SaaS

Confluence is a global leader in data-driven investment management solutions. The company partners with clients to deliver products and services designed to optimize efficiency and control in financial operations. Confluence offers sophisticated portfolio analytics solutions, multi-asset risk management, integrated data management, and regulatory compliance services. This empowers organizations to transform raw data into meaningful insights and meet complex data challenges, enhance performance, and comply with global regulatory requirements. Confluence's client base includes institutional investors, asset managers, and service providers, who rely on its solutions for performance measurement, risk analytics, comprehensive reporting, and investor communication.

📋 Description

• Build and shape the next-generation multi-tenant data platform • Develop and evolve a Python data API using layered router → service → repository architecture • Migrate business and data logic from legacy SQL Server stored procedures into testable Python • Use parameterized SQL for data retrieval and pandas for computation and reshaping • Integrate additional modern data sources and warehouses, such as Snowflake, through a unified API • Work across the data platform as it grows • Focus on data correctness, performance, and movement and reconciliation of large datasets across heterogeneous sources • Deploy and operate solutions using Docker, infrastructure-as-code, Azure, and DevOps practices • Help define the architecture and direction of the next-generation data platform • Report to Thomas Garrett

🎯 Requirements

• Bachelor's degree in Software Engineering/development, Computer Science, or related field • 3 years of experience in software development • Strong proficiency in Python (3.12+) backend development • Experience with FastAPI, Pydantic v2, and async/await • Strong proficiency in T-SQL • Expert-level SQL Server and data engineering • Parameterized query authoring • Query optimization and execution-plan analysis • Indexing strategy • Set-based processing • Bulk / ETL data movement • Large-dataset performance tuning • Comfort migrating logic out of legacy stored procedures into Python • Exposure to modern cloud data platforms and warehouses, e.g. Snowflake • Interest in integrating multiple heterogeneous data sources behind a unified API • Enough Azure and DevOps capability to deploy and operate what you build • Satisfactory pre-employment background checks, including identity and right-to-work verification where applicable

🏖️ Benefits

• Generous Time Off packages including additional half days with each public holiday in your location • Global Career Development opportunities • Social Events • Referral Bonus scheme - Upto $3,000 per successful referral • Flexible working options for all employees • Plus many more!