Senior Data Engineer
DutchieSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, TradingIndustries
Requirements
Candidates must have deep experience with Snowflake and strong knowledge of AWS or GCP. Familiarity with cloud-native data architecture patterns, how to scale them securely, modern data pipelines, governance in regulated environments, and enabling multi-tenant cloud use is required. A collaborative and pragmatic mindset, curiosity about emerging tools, and a drive for practical innovation are also sought.
Responsibilities
The Cloud Data Platform Engineer will architect and implement cloud data solutions, serving as the go-to expert on Snowflake and multi-cloud data platforms. They will collaborate with teams to build reusable tooling, enable cloud-native analytics adoption, and evaluate/integrate modern cloud technologies. Responsibilities also include contributing to platform governance standards such as access control, cost optimization, and secure data sharing.
Skills
Snowflake
AWS
GCP
Azure
Cloud Data Platforms
Data Architecture
Data Engineering
Infrastructure
DRW
Proprietary trading and risk management firm
About DRW
RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.
Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees
Benefits
Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite
Risks
Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.
Differentiation
DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.
Upsides
Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.
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