Senior Data Engineer Investments Data Platform

Remote • Posted 4 hours ago • Updated 4 hours ago
Full Time
Occasional Travel Required
Remote
$60,000 - $100,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Quality
  • Data Modeling
  • Collaboration
  • Finance
  • Data Structure
  • Management
  • Python
  • Use Cases

Summary

Job Description:

Data Platform & Pipeline Engineering

  • Design, build, and maintain robust, scalable ELT pipelines on Snowflake to ingest data from IBOR/ABOR systems, custodians, market data providers, and internal platforms.
  • Implement endtoend ingestion, standardization, and transformation logic using Airflow, dbt, Python, and Snowflake stored procedures.
  • Manage schema evolution, metadata, and versioning to support changing upstream data structures without disrupting downstream consumers.

Data Modeling & Analytics Enablement

  • Design and implement investmentfocused data models to support holdings, transactions, cash flows, exposure analytics, and performance reporting.
  • Build analyticsready, welldocumented data structures optimized for portfolio management, finance, risk, and regulatory use cases.
  • Partner with reporting, analytics, and investment operations teams to translate business reporting requirements into scalable technical designs.

Data Quality, Governance & Controls

  • Establish and enforce data quality checks, reconciliation controls, and validation frameworks to ensure accuracy and completeness of financial data.
  • Implement governance standards including lineage, auditability, and data certification aligned with regulatory and internal control expectations.
  • Support operational readiness by enabling monitoring, alerting, and issue resolution across data pipelines.

Performance & Scalability

  • Optimize Snowflake performance and cost efficiency for largescale financial datasets through clustering, partitioning, and query tuning.
  • Contribute to platform architecture decisions, development standards, and best practices to ensure longterm scalability and maintainability.

Collaboration & Leadership

  • Work closely with investment operations, finance, reporting, and analytics stakeholders to ensure platform alignment with business needs.
  • Act as a senior technical contributor in a lean, highimpact environment, influencing design decisions and mentoring junior engineers as needed.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099737
  • Position Id: 812529SJ
  • Posted 4 hours ago
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AS

Ananya Sharma

Recruiter @ QUANTUM TECHNOLOGIES LLC
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