Senior Data Engineer

Senior Data Engineer Overview As a Senior Data Engineer supporting a utility client, you will lead the design, development, and optimization of enterprise data systems that power analytics, reporting, and strategic decision-making. With 8 years of experience, you’ll bring deep technical expertise and leadership to complex data initiatives, ensuring scalable, secure, and high-performing data infrastructure across cloud and on-prem environments. Experience with SAP data integration and analytics is a key component of this role. Key Responsibilities Data Architecture & Engineering Architect and implement robust data pipelines, models, and ingestion frameworks to support advanced analytics and machine learning. Design and maintain scalable data infrastructure using cloud platforms such as Azure, AWS, or GCP. Integrate SAP data sources into enterprise data platforms for reporting and analytics. Ensure data integrity, reliability, and performance across systems and applications. Lead efforts to reduce data redundancy and promote single sources of truth through effective data modeling and integration. Project Leadership & Technical Oversight Serve as a technical lead on cross-functional data projects, guiding design decisions and ensuring alignment with business goals. Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions. Oversee database upgrades, migrations, and performance tuning activities. Develop and enforce standards for data governance, security, and lifecycle management. Mentorship & Thought Leadership Mentor junior data engineers and analysts, providing guidance on best practices and technical development. Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities. Create and deliver training materials and documentation to support team development and knowledge sharing. Qualifications Required Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. 6-8+ years of experience in data engineering, database administration, or related roles. Advanced proficiency in SQL and programming languages such as Python or R. Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB). Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (e.g., Snowflake, Databricks). Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC). Proven ability to lead technical projects and mentor team members. Preferred Experience in the utility industry or similar regulated environments. Familiarity with big data technologies and distributed computing frameworks. Knowledge of data governance, compliance, and audit practices. Soft Skills Strategic thinker with strong problem-solving abilities. Excellent communication and leadership skills. Ability to manage multiple priorities and drive results in a fast-paced environment. Team Environment You’ll collaborate with: IT architects, developers, and strategic planners. Business stakeholders and project managers. Contractors, consultants, and vendors supporting utility operations. Core Values Champion innovation and continuous improvement. Drive operational excellence and customer value. Uphold safety, integrity, and strategic thinking. Pay: $70.00 - $75.00 per hour Benefits: Dental insurance Health insurance Vision insurance Ability to Commute: Tampa, FL 33609 (Required) Work Location: In person