The Senior Data Engineer role supports a utility client by leading the design, development, and optimization of enterprise data systems used for analytics and reporting across cloud and on-premises environments, with SAP data integration experience.

Responsibilities

Architect and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning initiatives.
Design and maintain scalable data infrastructure across cloud platforms such as Azure, AWS, or GCP.
Integrate SAP data sources into enterprise data platforms to support reporting and analytics capabilities.
Ensure data integrity, reliability, and performance across systems and applications.
Lead efforts to reduce data redundancy and promote a single source of truth through effective data modeling and integration.
Act as a technical lead on cross functional data projects, guiding design decisions and aligning with business objectives.
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.
Mentor junior data engineers and analysts, sharing best practices and supporting technical growth.
Evaluate emerging technologies and propose adoption strategies to enhance data capabilities.
Create and deliver training materials and documentation to support team development and knowledge sharing.

Requirements

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.

Qualifications

All requirements listed above.
Preferred: Experience in the utility industry or similar regulated environments.
Preferred: Familiarity with big data technologies and distributed computing frameworks.
Preferred: Knowledge of data governance, compliance, and audit practices.

Technologies

SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks
SAP HANA
SAP BW
SAP ECC

Benefits

Dental insurance
Health insurance
Vision insurance

Overview

The role centers on leading the design, development, and optimization of enterprise data systems that power analytics, reporting, and strategic decision making for a utility client. With around eight years of experience, the successful candidate will bring deep technical expertise and leadership to complex data initiatives, ensuring scalable, secure, and high‑performing data infrastructure across cloud and on‑premises environments. SAP data integration and analytics are key components of this role.

Team Environment

Collaboration with IT architects, developers, and strategic planners.
Engagement with business stakeholders and project managers.
coordination with contractors, consultants, and vendors supporting utility operations.

Core Values

Champion innovation and continuous improvement.
Drive operational excellence and deliver customer value.
Uphold safety, integrity, and strategic thinking.

Soft Skills

Strategic thinker with strong problem solving abilities.
Excellent communication and leadership capabilities.
Ability to manage multiple priorities and drive results in a fast paced environment.

Pay

$70.00 - $75.00 per hour

Senior Data Engineer

Job Description