Senior Data Engineer

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., 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.

Do you have experience in Team management?, 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.

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance