Senior Data Engineer - Shared Data Platform at Arrowstreet Capital

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investment ManagementIndustries

Requirements

Bachelor’s degree in Computer Science, Computer Engineering or a related discipline
At least 5 years of experience working with data lakes, data warehousing, and/or database systems, including processing frameworks like Spark, Hadoop, Presto, etc
Strive to write elegant code, and comfortable with picking up new technologies independently
Fluent in at least one major programming language (e.g. Python, C#)
Hands-on experience working with AWS and automation through infrastructure as code with one of Terraform, Pulumi, Cloudformation, or CDK
Experience designing and deploying APIs and client libraries using tools such as OpenAPI, FastAPI, or similar frameworks
Experience with real-time streaming processing with Kafka, Kinesis, and Apache Flink etc
Professionalism, positive attitude, and initiative in a friendly, team-oriented environment

Responsibilities

Define and execute the technical roadmap for the platform that can support batch and real-time data sets using modern data processing frameworks
Oversee and contribute to building features for data discovery, lineage, governance, ingestion operation, cost management, performance, etc
Lead and assist the team in investigating potential improvements achieved by adopting new data technologies and frameworks
Achieve high quality metrics through automated testing, robust operational tooling, and highly-available cloud architecture
Provide production support of the platform to avoid disruption to investment processes
Collaborate closely with business stakeholders to understand their data needs, translate business objectives into scalable and efficient data engineering solutions
Partner with IT operations and cloud security teams to ensure platform solutions are secure, scalable, and reliable
Develop and mentor junior Data Engineers

Skills

Spark

Hadoop

Presto

Data Lakes

Data Warehousing

Databases

Cloud Architecture

Automated Testing

Data Ingestion

Data Lineage

Data Governance

Arrowstreet Capital

Investment management for global equity strategies

About Arrowstreet Capital

Arrowstreet Capital specializes in managing global and international equity investments for institutional clients, including pension plans and foundations. Their investment strategies include long-only, alpha extension, and long/short approaches, utilizing various financial instruments like swaps and futures. The company employs quantitative methods to analyze investment signals and develop proprietary models for return, risk, and transaction costs. This structured investment process aims to create diversified equity portfolios that seek to outperform specific benchmarks by identifying opportunities across different companies, sectors, and countries. With around $100 billion in assets under management, Arrowstreet Capital serves over 200 clients across North America, Europe, and the Asia-Pacific region.

Boston, MassachusettsHeadquarters

1999Year Founded

SECONDARY_PRIVATECompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Risks

Indictment of former executive for trade secrets theft may impact client trust.

Market volatility and geopolitical tensions could affect portfolio performance.

Rise of passive investment strategies may increase competition and pressure on fees.

Differentiation

Utilizes quantitative methods for investment signals in proprietary models.

Manages $100 billion for over 200 global clients.

Offers diverse equity strategies including long-only, alpha extension, and long/short.

Upsides

Advancements in AI enhance quantitative model capabilities for market trend prediction.

Increased interest in ESG investing can be leveraged by integrating ESG metrics.

Thematic investing trends offer opportunities for specialized equity strategies.

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