Data Engineer

The Jonus Group•Bradenton, FL

About The Position

Seeking a highly skilled and motivated Data Engineer to join a dynamic Information Technology team. In this role, you will play a pivotal part in designing, building, and optimizing scalable and reliable data pipelines and platforms to support enterprise analytics and business decision-making. You will collaborate with cross-functional teams to translate business data requirements into technical solutions, ensuring data availability, quality, and accessibility across multiple business domains. This is an exciting opportunity to contribute to data product development, enhance data infrastructure, and support data platform modernization initiatives.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
5+ years of experience in data engineering, data architecture, or related technical roles.
Experience working within highly regulated industries is preferred.
Strong understanding of enterprise data warehouse concepts and relational data models.
Ability to quickly learn and integrate new data sources into existing data platforms.
Experience implementing cloud-based data platforms (Azure preferred).
Proficiency with ETL/ELT tools (e.g., Azure Data Factory, SSIS).
Strong SQL skills and experience with modern data platforms (e.g., Databricks).
Exposure to big data processing and streaming technologies (e.g., Spark, Kafka).
Familiarity with API-driven data integrations.
Experience with BI and reporting tools such as Power BI, Tableau, or Looker.
Understanding of data governance, security, and compliance standards (e.g., SOC2, GDPR, CCPA).
Experience using ticketing/project management tools (e.g., Jira).
Strong organizational skills and attention to detail.
Ability to work efficiently under tight deadlines.
Adaptable and comfortable in a fast-changing environment.
Proactive, resourceful, and eager to learn new technologies.
Excellent verbal and written communication skills.
Ability to collaborate effectively with technical and non-technical stakeholders.
Proficient in Microsoft Office (Excel, Word, PowerPoint).

Nice To Haves

Exposure to data mesh architectures, machine learning, or MLOps is a plus.

Responsibilities

Data Warehouse & Platform Management Support and enhance the enterprise data warehouse, ensuring data accuracy, availability, and efficient ETL operations. Architect, design, and implement scalable on-premise and/or cloud-based data platforms that integrate data from multiple enterprise systems.
Data Integration & Engineering Develop and maintain ETL/ELT pipelines to ingest, transform, and store structured and unstructured data using modern data engineering tools. Integrate data from various internal and external sources to support analytics, reporting, and operational use cases.
Data Modeling & Architecture Design and implement optimized data models to support reporting, advanced analytics, and AI/ML initiatives. Contribute to overall data architecture standards and best practices.
Data Governance & Security Establish and maintain best practices related to data quality, metadata management, security, and regulatory compliance. Ensure data assets meet internal governance standards and external compliance requirements.
Advanced Analytics Enablement Support self-service analytics, real-time data processing, and advanced analytics use cases by leveraging modern data technologies such as data lakes, streaming platforms, and NoSQL databases.
Collaboration & Leadership Partner with IT, analytics, and business teams to align data initiatives with organizational objectives. Mentor junior team members and promote a data-driven culture. Participate in project planning, task assignment, and progress tracking.
Operational Support Monitor and manage assigned work through a ticketing system. Contribute to reporting initiatives for senior leadership. Support multiple initiatives simultaneously while meeting deadlines. Perform additional duties as required.