Data Engineer

GetJobSmart; United States; Remote; USD 90.000 - 150.000; Vollzeit

Benefits dieser Stelle

Health insurance

Retirement plans with employer 5conrib

Professional development opportunities

Zusammenfassung

Beacon East Partners is seeking a Data Engineer to design, develop, and maintain our data infrastructure in a remote, full-time role. The salary is negotiable, with a benefits package including health insurance and retirement plans with employer contributions.

You will build and optimize data pipelines, work with SQL, Python, and cloud platforms, and collaborate with cross-functional teams to deliver reliable data solutions that support investment strategies and drive operational efficiency.

Qualifikationen

• Bachelor's degree in Computer Science or related field.
• 3-5 years of experience in data engineering.
• Proficiency with Python, Java, or Scala.
• Experience with big data technologies (Hadoop, Spark, Hive).
• Cloud platform experience (AWS or GCP).
• Strong problem-solving and analytical skills.

Aufgaben

• Design, develop, and maintain data pipelines and infrastructure to support our investment strategies.
• Optimize data processing and storage solutions to enhance performance and scalability.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Monitor and maintain data quality, ensuring accuracy and consistency.
• Stay updated with emerging technologies and industry best practices.
• Provide technical guidance and support to other team members.

Kenntnisse

Data modeling

Data pipelines

Data quality

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Python

Java

Scala

Hadoop

Spark

Hive

AWS

GCP

SQL

Jobbeschreibung

Beacon East Partners, a data-driven investment solutions company, is seeking a Data Engineer to design, develop, and maintain our data infrastructure. This role is based in Remote, with a negotiable salary and full-time employment. Apply by November 23, 2026.

As a Data Engineer, you will be responsible for designing, constructing, and refining data pipelines to facilitate efficient data processing and storage. This role involves transforming raw data into structured formats, implementing data validation and cleansing processes, and optimizing pipeline performance to ensure timely and accurate data delivery. You will collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Additionally, you will leverage your expertise in data modeling and database management to create robust data architectures that support our investment strategies. By analyzing and interpreting processed data, you will generate actionable insights that inform our decision-making processes and drive investment outcomes. Your work will play a crucial role in enabling data-driven strategies and enhancing our overall operational efficiency.

You will collaborate with the data team in a remote environment, utilizing tools and technologies to maintain our data infrastructure. The workplace is in Remote, with no specific city or state mentioned.

The salary for this position is negotiable, and the benefits package includes comprehensive health insurance, retirement plans with employer contributions, and opportunities for professional development.

You should have a strong background in data engineering, with experience in building and optimizing data pipelines. Proficiency in SQL, Python, and cloud platforms is required. A degree in Computer Science or related field is preferred.

What You Will Do:

• Design, develop, and maintain data pipelines and infrastructure to support our investment strategies.
• Optimize data processing and storage solutions to enhance performance and scalability.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Monitor and maintain data quality, ensuring accuracy and consistency.
• Stay updated with emerging technologies and industry best practices.
• Provide technical guidance and support to other team members.

What You Bring:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in data engineering.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or Hive.
• Knowledge of cloud platforms such as AWS or GCP.
• Strong problem-solving and analytical skills.