4 дня назад
Software Engineering, Sr. Engineer (Investment Data)
98 500 - 141 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineering, Sr. Engineer (Investment Data): Building and supporting unified investment data platforms, dbt transformation pipelines, and Snowflake-based data models for reporting, analytics, risk management, and client reporting with an accent on data quality, scalability, and financial data integration. Focus on designing resilient data pipelines, troubleshooting production issues, and modeling transactions, positions, and multi-asset investment data.
Location: Boston, hybrid work environment. Applicants must be authorized to work full-time in the United States; visa sponsorship is not available.
Base salary: $98,500–$141,500 annually, plus eligibility for a competitive incentive bonus.
Company
provides investment management services and supports individuals and institutions in building long-term financial security.
What you will do
- Develop and maintain dbt data models in Snowflake using established data standards and architectural principles.
- Build modular, scalable, and documented transformation pipelines for investment data.
- Design, develop, and support data pipelines and warehouse solutions for reporting, analytics, and operational use cases.
- Improve data quality, resiliency, controls, monitoring, and operational efficiency across the investment data platform.
- Troubleshoot data and system issues, identify root causes, and support production incidents and outages.
- Collaborate with engineers, architects, platform leads, investment teams, business stakeholders, and vendor partners.
Requirements
- Bachelor’s degree in Computer Science or a related discipline.
- 3–5+ years of experience designing, developing, and supporting data-oriented applications and platforms.
- At least 2 years of hands-on experience with SQL and advanced SQL concepts.
- Experience with dbt, data integration, ETL/ELT, data warehousing, and analytics architectures.
- Experience with cloud-based PaaS platforms such as Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
- Familiarity with Agile SDLC, DevOps, CI/CD, cloud technologies, and modern data architecture concepts.
Nice to have
- Experience with Snowflake or other cloud-native databases.
- Asset management, investment management, financial instruments, transactions, positions, or multi-asset investment platform experience.
- Certifications in Snowflake, dbt, cloud data engineering, or related data platforms.
- Interest in AI technologies and experience using automation or AI-assisted development tools.
Culture & Benefits
- Collaborative environment focused on strong ideas, inclusion, and community.
- Retirement contribution equal to 15% of base salary, separate from the company-sponsored 401(k).
- Education assistance, tuition reimbursement, discounted tutors, and college coaches.
- Generous paid time off and fully paid maternity, parental, and caregiver leaves.
- Medical and dental plans, Health Savings Account contributions, commuter benefits, flexible spending accounts, and wellness programs.
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