Senior Database Engineer — ETL, SQL, Data Modeling (Hybrid)

Bayview Asset Management, LLC

Fort Lauderdale (FL)

Hybrid

USD 140,000 - 160,000

Full time

6 days ago
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Job summary

Bayview Asset Management, LLC is seeking a Database Engineer to design, develop, and maintain data-driven solutions that support our data management and analytics initiatives. You will work on data integration, ETL processes, and database technologies, building data models and optimizing performance to meet business needs.

You will ensure data quality and security while collaborating with analysts and data scientists, documenting data integration processes, and contributing to governance and

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience as a Developer III or similar role with data integration and ETL expertise.
  • Knowledge of data management, integration best practices, and database tech (SQL Server, Oracle, PostgreSQL).

Responsibilities

  • Design and develop data integration and ETL pipelines.
  • Collaborate with analysts, data scientists, and stakeholders to define data requirements.
  • Develop and maintain data models, schemas, and data dictionaries.
  • Implement data quality checks and data governance practices.
  • Write SQL queries, stored procedures, and functions for ETL workloads.
  • Monitor ETL jobs, optimize performance, and troubleshoot issues.
  • Ensure data security and compliance with access controls.
  • Document data integration processes and database structures.

Skills

ETL implementation
SQL & stored procedures
Data integration
Data modeling
Python
Communication

Education

Bachelor's degree in CS/IS or related field

Tools

SQL Server
Oracle
PostgreSQL
Informatica
SSIS
Talend
JSON

Job description

Bayview Asset Management, LLC is seeking a Database Engineer to design, develop, and maintain data-driven solutions that support our data management and analytics initiatives. You will work on data integration, ETL processes, and database technologies, building data models and optimizing performance to meet business needs.

You will ensure data quality and security while collaborating with analysts and data scientists, documenting data integration processes, and contributing to governance and

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