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Database Engineer

Job in Coral Gables, Miami-Dade County, Florida, 33114, USA
Listing for: Bayview Fund Management, LLC
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Data Engineering, Database Administrator, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview
POSITION SUMMARY

The Database Engineer will be responsible for designing, developing, and maintaining data-driven solutions that support our organization's data management and analytics initiatives. Your expertise in data integration, ETL processes, and database technologies will play a key role in delivering high-quality data solutions and driving data-driven decision-making across the organization.

RESPONSIBILITIES
Data Solution Development
  • Design and develop data-driven solutions, including data integration processes, ETL workflows, and data transformation pipelines.
  • Collaborate with business analysts, data scientists, and other stakeholders to understand data requirements and translate them into technical specifications.
  • Develop and maintain data models, database schemas, and data dictionaries to ensure accurate and efficient data storage and retrieval.
  • Implement data quality checks and validation processes to ensure data integrity and accuracy.
Data Integration and ETL
  • Design and implement data integration processes to extract data from various sources, transform it into a consistent format, and load it into target systems.
  • Develop and maintain ETL workflows and scripts using industry-standard tools and frameworks.
  • Optimize data integration processes for performance, scalability, and reliability.
  • Monitor and troubleshoot data integration jobs, identifying and resolving issues and performance bottlenecks.
Database Development and Management
  • Design, develop, and maintain database structures and schemas to support data storage and retrieval needs.
  • Write efficient SQL queries, stored procedures, and functions to extract, transform, and load data.
  • Optimize database performance through indexing, query optimization, and performance tuning techniques.
  • Ensure data security and compliance by implementing appropriate access controls and data protection measures.
Data Governance and Documentation
  • Contribute to data governance initiatives by defining and enforcing data standards, policies, and procedures.
  • Document data integration processes, ETL workflows, and database structures to facilitate knowledge sharing and maintain system documentation.
  • Collaborate with data stewards and data owners to ensure data quality, consistency, and compliance with regulatory requirements.
Collaboration and Continuous Improvement
  • Collaborate with cross-functional teams, including data analysts, business intelligence developers, and data scientists, to understand their data requirements and support their analytics needs.
  • Stay updated on emerging trends and technologies in data management, ETL, and database technologies.
  • Identify opportunities for process improvement, automation, and innovation, and contribute to the continuous improvement of data services within the organization.
QUALIFICATIONS
  • Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent work experience).
  • Proven experience as a Developer III or a similar role, demonstrating strong expertise in data integration, ETL processes, and database development.
  • In-depth knowledge of data management principles, data integration best practices, and database technologies (e.g., SQL Server, Oracle, PostgreSQL).
SKILLS
  • Experience with ETL tools and frameworks (e.g., Python, Informatica, SSIS, Talend, JSON) and data integration patterns and methodologies. Proficiency in writing complex SQL queries, stored procedures, and functions.
  • Strong understanding of data modeling concepts and techniques.
  • Familiarity with data governance frameworks and data quality management practices.
  • Excellent problem-solving and analytical skills, with the ability to analyze complex data requirements and design optimal solutions.
  • Strong attention to detail and the ability to…
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