Title:
Programmer Analyst - Data Engineering and Automation
Location:
Juno Beach, FL
Pay:$30.00- $37.00/hour
Schedule:
Standard Office Hours
Duration:
12-Month Contract
We are seeking a skilled Programmer Analyst – Data Engineering & Automation to support enterprise data integration, analytics, and workflow automation initiatives. This role is responsible for designing and maintaining ETL processes, integrating complex data sources, performing analytical modeling, and building automation solutions to improve operational efficiency.
The ideal candidate combines strong technical expertise in data engineering with hands-on experience in automation platforms and visualization tools.
Key Responsibilities
In this role, you will:
- Design and build automation solutions to eliminate repetitive manual tasks for internal stakeholders.
- Extract and validate data from multiple source systems using APIs and data interfaces.
- Transform, standardize, and integrate disparate datasets into structured, relational databases while ensuring data integrity and performance optimization.
- Develop and maintain ETL processes for structured and multi-dimensional data sources.
- Perform data analysis to support operational reporting, business decision-making, and strategic initiatives.
- Build analytical models and optimization frameworks to generate actionable insights.
- Develop dashboards and visualizations to effectively communicate analytical findings.
- Conduct data quality assessments and implement controls to ensure accuracy, consistency, and reliability.
- Document automation workflows, ETL methodologies, and data processes.
- Collaborate with cross-functional teams (IT, business units, and data stakeholders) to ensure seamless data integration.
- Provide user support and training related to data extraction, reporting tools, and analytics solutions.
- Stay current with advancements in data engineering, AI, automation tools, and industry best practices.
Essential Duties and Technical Competencies
- Strong experience working with relational (OLTP) and multi-dimensional (OLAP) database models.
- Proficiency in data ingestion and transformation tools (e.g., scripting languages and ETL platforms).
- Experience building automation solutions using enterprise workflow and low-code automation platforms.
- Experience developing dashboards and performing UI quality assurance/testing.
- Ability to optimize database performance and manage large datasets.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to manage multiple initiatives in a fast-paced environment.
Education & Experience
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Minimum 3 years of experience in data engineering, ETL development, and/or workflow automation.
- Experience working in cross-functional, collaborative environments.
- Familiarity with Agile methodologies is preferred.
Preferred Qualifications
- Experience working with enterprise relational databases and multi-dimensional data models.
- Exposure to data warehousing platforms and cloud-based database environments.
- Experience in regulated or data-sensitive industries.
- Knowledge of data governance, compliance, and data management standards.
- Experience with data visualization platforms.
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