Data Engineer

Horizon Meadows Inc.; Charlotte (NC); On-site; USD 180,000 - 296,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Professional development opportunities

Wellness programs

Job summary

Horizon Meadows Inc. in Charlotte, NC, is hiring a Data Engineer to design, develop, and maintain data infrastructure that supports decision-making across the business.

The role emphasizes building robust data pipelines, processing large datasets, and ensuring data quality and security. The ideal candidate will have strong Python or Java skills, experience with Hadoop or Spark, and a solid grounding in databases and data warehousing.

Qualifications

• Experience designing and implementing data pipelines.
• Proficiency in Python or Java.
• Familiarity with Hadoop or Spark.
• Solid understanding of databases and data warehousing.

Responsibilities

• Designing and maintaining data infrastructure.
• Collecting and processing large datasets.
• Analyzing data to support decision-making.
• Optimizing data pipelines and ensuring data integrity and security.

Skills

Data pipelines

Python/Java

Databases & DW

Communication

Problem solving

Team collaboration

Project management

Tools

Hadoop

Spark

Job description

Horizon Meadows Inc., a leading company in renewable energy, is hiring a Data Engineer in Charlotte, NC. This full-time role offers competitive pay and benefits.

As a Data Engineer, you'll design, develop, and maintain data infrastructure. You'll collect, process, and analyze large datasets to support decision-making. You'll also optimize data pipelines and ensure data integrity and security.

You will work with a team of professionals in Charlotte, NC. Our dynamic environment fosters innovation and continuous learning, helping us advance sustainable energy solutions.

The annual salary range for this position extends from $180,000 to $295,532, with compensation determined by the candidate's level of experience and qualifications. In addition to the base salary, employees can expect a comprehensive benefits package, which typically includes health insurance, retirement plans, paid time off, and possibly other perks such as professional development opportunities or wellness programs. The specific benefits offered may vary depending on the company's policies and the employee's location. The role involves a significant amount of responsibility, requiring the successful candidate to manage complex projects, collaborate with cross-functional teams, and utilize advanced tools and technologies to drive business outcomes. Candidates should have a strong educational background, relevant industry experience, and a proven track record of achieving results in similar positions. The workplace is dynamic and fast-paced, with a strong emphasis on innovation and continuous improvement. The position requires a high level of proficiency in communication, problem-solving, and project management skills.

You should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in Python or Java, and familiarity with Hadoop or Spark, is required. A solid understanding of database systems and data warehousing is also necessary.

• Designing and maintaining data infrastructure
• collecting and processing large datasets
• analyzing data to support decision-making
• optimizing data pipelines
• ensuring data integrity and securityStrong background in data engineering
• experience in designing and implementing data pipelines
• proficiency in programming languages such as Python or Java
• familiarity with big data technologies like Hadoop or Spark
• solid understanding of database systems and data warehousing concepts