Senior Data Engineer – IT Database Administrator

Senior Data Engineer – Juno Beach, FL (On-site) – Enterprise Data & AI-Driven Integration

About the Role

Our client is looking for a highly skilled Senior Data Engineer to join the IT Salesforce and Enterprise Data Platform team. This role sits at the intersection of enterprise data architecture, complex system integrations, AI-augmented delivery, and platform modernization. You will design and maintain scalable data pipelines, lead a critical Atlassian on-premises to cloud migration, and embed Generative AI and Agentic AI tools into daily engineering workflows to drive quality, velocity, and measurable business impact.

This is a 6-month contract opportunity based on-site in Juno Beach, FL, working a standard 40-hour week. You will collaborate closely with architects, tech leads, and product owners to deliver production-grade solutions that meet rigorous regulatory standards.

Key Responsibilities

1. Design, build, and maintain scalable, high-performance data pipelines, ETL/ELT frameworks, and transformation workflows across enterprise platforms including Salesforce, SAP, and MuleSoft.
2. Own data modeling, schema design, object relationships, and master data governance standards, and lead data migration efforts from legacy platforms to modern cloud-based systems.
3. Architect and implement real-time and batch data integrations using REST/SOAP APIs, event-driven patterns, Change Data Capture (CDC), and middleware orchestration with robust error handling and observability.
4. Lead the end-to-end Atlassian on-premises to cloud migration for Jira and Confluence, including plugin assessment, data migration scripting, validation, and post-migration support.
5. Leverage Agentic AI platforms daily to accelerate pipeline development, code generation, test automation, and technical documentation, while applying prompt engineering best practices.
6. Define and enforce data quality rules, deduplication strategies, and data lineage standards aligned with NERC compliance and utility-sector regulatory requirements.
7. Mentor junior engineers on pipeline best practices, AI tooling adoption, and data quality standards, and actively participate in Agile ceremonies.

Required Qualifications

1. 5+ years of hands-on data engineering experience with demonstrated ownership of enterprise-scale, production-grade data solutions.
2. Deep expertise in ETL/ELT design, data modeling, pipeline development, and transformation frameworks across cloud and on-premises environments.
3. Proven experience with enterprise system integrations using REST/SOAP APIs, event-driven architecture, CDC patterns, and middleware platforms such as MuleSoft.
4. Hands-on experience with Atlassian on-premises to cloud migration, including Jira and Confluence data migration, plugin assessment, workflow migration, and cutover execution.
5. Proficiency with cloud data platforms such as Salesforce Data Cloud, Snowflake, Azure Data Factory, or equivalent enterprise data platform tooling.
6. Active daily use of Generative AI and/or Agentic AI tools in a data engineering delivery context with measurable quality and productivity outcomes.
7. Proficiency with Git, CI/CD pipelines, and DevOps practices applied to data engineering workflows.
8. Strong SQL, Python, and scripting proficiency for data transformation, validation, and automation.

Preferred Skills

1. Experience in regulated utility, energy, or infrastructure sectors with awareness of NERC compliance, audit requirements, and data governance standards.
2. Familiarity with Salesforce Data Cloud, Einstein Analytics, Agentforce, or AI-enabled data workflow design.
3. Hands-on experience with Windsurf, Devin, or similar Agentic AI platforms in a team delivery context.
4. Knowledge of Documentum, Excalibur, SAP, or enterprise content management systems from a data engineering perspective.
5. Experience with Atlassian cloud administration, Marketplace evaluation, and post-migration platform governance.
6. Background in multi-vendor offshore/nearshore delivery models and distributed agile team collaboration.

Why Join Us

This contract role offers the opportunity to work on high-impact enterprise initiatives at the forefront of data engineering and AI. You will join a collaborative team that values technical excellence, innovation, and continuous improvement. The position follows a standard schedule, providing a stable 40-hour work week. 

Apply Today

If you are a seasoned data engineer ready to drive platform modernization and AI-enabled delivery in a complex enterprise environment, we encourage you to apply. Take the next step in your career and join a team where your expertise will make a lasting impact.