Full-Time

Senior Data Engineer

Confirmed live in the last 24 hours

DRW

DRW

1,001-5,000 employees

Proprietary trading and risk management firm

Quantitative Finance
Financial Services

Senior

Chicago, IL, USA

Category
Data Engineering
Data & Analytics
Required Skills
Bash
gRPC
Kubernetes
Agile
Python
Airflow
NoSQL
Apache Spark
SQL
Apache Kafka
Java
RDBMS
Scala
Apache Thrift
Cassandra
Requirements
  • Have experience designing and building data-intensive distributed systems
  • Have experience working within the modern batch and streaming data ecosystems
  • An expert in Java/Scala or Python and have experience with SQL and Bash
  • Able to own, organize, and steer team projects
  • Be able to contribute to project management and project reporting
  • Be a leader/mentor to junior members of the team concerning engineering best-practices and code-quality
  • 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems
  • Expert level skills in Java/Scala or Python with a proven ability to output high-quality, maintainable, code
  • Strong familiarity with SQL and Bash
  • Experience leveraging and building cloud-native technologies for scalable data processing.
  • Prior experience with both batch and streaming systems and an understanding of the limitations those paradigms impose
  • Experience with an array of data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.)
  • Experience with an array of data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.)
  • Experience with an array of data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.)
  • Experience managing complex data ETL Pipelines (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.)
  • Prior experience dealing with schema governance and schema evolution
  • Prior experience developing data quality control processes to detect data gaps or inaccuracies
  • A desire to mentor less experienced team-members and champion both engineering best-practices and high code-quality standards.
  • Strong technical problem-solving skills
  • Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle the demands of a trading environment.
Responsibilities
  • Help design, build, and manage DRW's Unified Data Platform and support its users.
  • Work closely with Traders and Researchers to determine appropriate data sources and implement processes to onboard and manage new data sources for analysis to unlock future trading opportunities.
  • Design and develop data solutions to help discover, purchase, organize, track usage, manage rights, and control quality of data sets to address the needs of various DRW trading teams and strategies.
  • Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Contribute to the monitoring and quality control software and processes.

RGM Advisors engages in proprietary trading, using its own capital to participate in various financial markets. The firm employs advanced technology and data analytics to develop trading strategies that manage risk while aiming for high returns. RGM Advisors primarily serves institutional clients, such as hedge funds and investment banks, allowing for a flexible approach to trading since it does not manage clients' funds. Revenue is generated through trading profits, utilizing sophisticated algorithms and market-making strategies. The company is recognized for its global presence and focuses on attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Company Stage

M&A

Total Funding

N/A

Headquarters

Chicago, Illinois

Founded

2001

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Machine learning enhances predictive accuracy and execution speed in trading strategies.
  • DeFi platforms create new opportunities for crypto-assets and blockchain-based products.
  • Quantum computing shows potential for solving complex trading problems faster.

What critics are saying

  • Increased competition from algorithmic trading firms may erode market share.
  • Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
  • Regulatory scrutiny could lead to higher compliance costs and operational challenges.

What makes DRW unique

  • 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.

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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