Data Engineer

Granite East Partners; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Granite East Partners is seeking a Data Engineer for a full-time remote role based in the United States. You will design and implement data pipelines, ensure data quality, and optimize data storage and retrieval to support investment decisions.

The Data Engineer will join the data team and work closely with colleagues, including a Boston-based team, to maintain and improve data systems. Salary and benefits are discussed during the interview process.

Qualifications

• Strong background in data engineering, with proven experience designing and maintaining data pipelines.
• Solid understanding of data quality, data storage optimization, and data governance.

Responsibilities

• Design and implement data pipelines to collect, transform, and load data across systems.
• Ensure data quality and integrity for investment-related analytics.
• Collaborate with the data team to optimize storage and retrieval and support data-driven decision making.

Skills

Data pipelines

Data quality

Python

SQL

ETL

Tools

Airflow

Spark

Job description

Granite East Partners, a private equity firm specializing in the energy sector, is seeking a Data Engineer for a full-time remote position based in the United States.

As a Data Engineer, you will design and implement data pipelines, ensure data quality, and optimize data storage and retrieval. You will collaborate with the data team to develop and maintain infrastructure and support investment decisions through data analysis.

The Data Engineer will join the data team in Boston, Massachusetts, working closely with colleagues to maintain and improve data systems.

During the interview stage, the pay for this position is discussed, and the company does not provide any specific details about benefits. Candidates should be prepared to negotiate their salary and inquire about the benefits package, which may include health insurance, retirement plans, and other perks. The workplace is typically a modern office environment, equipped with the latest technology and tools necessary for the role. Candidates should have a strong understanding of the industry and the specific skills required for the position, as well as the ability to work well in a team and meet tight deadlines. The company values innovation and creativity, and candidates should be prepared to contribute to the company's growth and success.

The ideal candidate should have a strong background in data engineering, experience with data pipelines, and a deep understanding of data quality and optimization. Familiarity with data analysis tools and investment processes is a plus.

• Design and implement data pipelines, ensure data quality, optimize data storage and retrieval, collaborate with the data team, support data analysis projects.
• Strong background in data engineering, experience in designing and implementing data pipelines, deep understanding of data quality, ability to optimize data storage and retrieval, experience with data analysis tools, solid understanding of investment processes.