Data Engineer

Nimbus South Inc.; San Antonio (TX); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Nimbus South Inc. in San Antonio, TX is seeking a Data Engineer to design, build, and maintain data systems supporting our renewable energy initiatives.

You will collect, process, and analyze large datasets from IoT devices and weather sources to optimize energy production and distribution. You will develop data pipelines, manage databases, and tune performance while collaborating with data scientists, software engineers, and renewable energy experts.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Experience with data warehousing tools like Snowflake or BigQuery.
• Proficiency in Python or Java; strong SQL and data modeling.
• Experience with big data technologies such as Hadoop or Spark.

Responsibilities

• Design, develop, and maintain data pipelines to support renewable energy projects.
• Optimize data storage and processing for efficient analysis.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Ensure data quality and integrity through validation and cleaning processes.
• Implement and monitor data security measures to protect sensitive information.
• Stay updated with emerging data technologies to drive innovation.
• Mentor junior team members to foster learning and improvement.

Skills

SQL

Python

Data modeling

Education

Bachelor's degree in Computer Science / Data Science / related field

Tools

Snowflake

BigQuery

Hadoop

Spark

AWS

Azure

Job description

Nimbus South Inc., a leader in renewable energy, seeks a Data Engineer in San Antonio, TX. This full-time position offers a negotiable salary and benefits. The role involves designing, building, and maintaining data systems to support our renewable energy initiatives. The ideal candidate will have a strong background in data engineering and a passion for sustainability.

As a Data Engineer, you'll collect, process, and analyze large datasets to support our renewable energy projects. You'll work with various data sources, including IoT devices and weather data, to optimize energy production and distribution. Your tasks will include data pipeline development, database management, and performance tuning.

You'll join our team in San Antonio, TX, collaborating with data scientists, software engineers, and renewable energy experts. Our workplace is modern and encourages innovation. We value teamwork and a shared commitment to environmental sustainability.

The salary for this position is negotiable and will be determined based on the candidate's level of experience in data engineering. In addition to the competitive salary, the company offers a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. These benefits are designed to attract and retain top talent in the data engineering field, ensuring that employees have the resources and support they need to thrive in their roles. The company is committed to providing a competitive compensation package that reflects the value and expertise of its employees.

You should have a bachelor's degree in Computer Science, Data Science, or a related field. Experience with data warehousing tools like Snowflake or BigQuery is required. Proficiency in Python or Java is essential. Knowledge of cloud platforms such as AWS or GCP is a plus.

• Design, develop, and maintain data pipelines that support our renewable energy projects.
• Optimize data storage and processing to ensure efficient and effective data analysis.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Ensure data quality and integrity through robust data validation and cleaning processes.
• Implement and monitor data security measures to protect sensitive information.
• Stay up-to-date with emerging technologies and industry trends to drive innovation.
• Mentor and guide junior team members to foster a culture of continuous learning and improvement.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer, with a strong background in SQL, Python, and data modeling.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Knowledge of cloud platforms like AWS or Azure is a plus.
• Strong problem-solving skills and the ability to think creatively about data challenges.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Passion for renewable energy and a commitment to making a positive impact on the environment.