Software Guidance & Assistance, Inc. (SGA) is searching for a Senior Data Engineer - Investment Technology (Python) for a Direct Hire assignment with one of our premier Financial Services clients in Lower Manhattan, NYC . This is a hybrid role requiring onsite presence 4 days per week .
Responsibilities
- Build and maintain production data pipelines ingesting data from internal systems, market data vendors, and operational databases into analytical and application-facing data stores.
- Design and manage PostgreSQL and analytical data models supporting front-office investment workflows and quantitative research.
- Develop production-quality Python and SQL code for ETL, data validation, enrichment, transformation, and data quality monitoring.
- Build and maintain lightweight internal applications, reporting interfaces, and browser-based tools using JavaScript where appropriate.
- Support research and analytics workflows involving large financial, transactional, market, and time-series datasets.
- Partner closely with quantitative developers, engineers, portfolio management, trading, research, and other investment users to improve data usability and transparency.
- Identify and resolve data quality and operational issues while improving the reliability and scalability of the overall data platform.
- Apply strong software engineering practices around testing, debugging, code quality, documentation, and production support.
Required Skills
- 4+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering with a strong data engineering focus.
- Strong hands-on Python development experience in production environments.
- Strong SQL skills and experience working with relational databases.
- Hands-on experience designing, developing, and supporting production ETL/data pipelines .
- Experience designing and maintaining relational and/or analytical data models .
- Experience working with large and complex datasets.
- Strong software engineering fundamentals including testing, debugging, code quality, and documentation.
- Strong analytical and problem-solving skills.
- Ability to work closely with technical and business stakeholders in an investment-facing environment.
Preferred Skills
- Experience with PostgreSQL and/or Snowflake .
- Experience working with financial, investment, transactional, market, or time-series data .
- Investment Management, Asset Management, Fixed Income, Trading, Portfolio Management, or Quantitative Research experience.
- Experience with AWS and cloud-based data infrastructure.
- Experience with dbt, Docker, Kubernetes/EKS, Kafka, and/or Redis .
- JavaScript experience developing internal tools, dashboards, or data-grid-based interfaces.
- Experience supporting front-office investment or quantitative research applications.
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SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
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