Data Engineer (Mid–Senior Level)

Smart Meter LLC is seeking a hands-on Data Engineer to design, build, and maintain data pipelines and systems that support analytics, reporting, and operational workflows. This mid-senior level role emphasizes strong SQL and Python skills, a focus on data quality, and scalable infrastructure, with the position based onsite in Tampa, Florida.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines that ingest data from internal systems and external APIs.
• Create Python based data processing workflows to extract, transform, and load structured data across systems.
• Optimize SQL queries, database schemas, indexes, and transformations to support analytics and operations.
• Integrate data across PostgreSQL, MySQL, and data warehouse platforms.
• Support batch and real time data pipelines to ensure reliable and timely data processing.
• Implement validation, monitoring, and alerting to maintain data quality and pipeline reliability.
• Troubleshoot data pipeline failures, data inconsistencies, and performance issues.
• Collaborate with engineering, analytics, and business stakeholders to deliver dependable data solutions.
• Develop analytics ready datasets to support business intelligence, reporting, and data driven decisions.
• Design scalable data models and warehouse schemas to support analytics and downstream applications.
• Automate and orchestrate data workflows and pipeline processes to improve efficiency and reliability.
• Contribute to data platform standards, documentation, and engineering best practices across the data ecosystem.

Requirements

• 3–5 years of experience in data engineering, data platform engineering, or related roles.
• Bachelor’s degree in Computer Science, Data Engineering, Business Analytics, or a related field, or equivalent experience.
• Strong proficiency in SQL and relational databases.
• Experience building data pipelines and automation using Python.
• Hands-on experience with PostgreSQL, MySQL, or similar relational databases.
• Experience integrating data from multiple systems and APIs.
• Strong analytical and troubleshooting skills.
• Experience working in production data environments with high reliability requirements.
• Experience with GitHub or similar version control systems.
• Experience with data streaming technologies such as Kafka or similar.

Technologies

• Python
• SQL
• PostgreSQL
• MySQL
• Kafka
• GitHub

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Retirement plan
• Vision insurance

Pay

USD 90,000.00 - 110,000.00 per year

Work Location

Onsite in Tampa, FL