Data Engineer

Sterling Elite; Oklahoma City (OK); Presencial; USD 110 000 - 158 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Retirement Plans

Professional Development

Resumo da oferta

Sterling Elite in Oklahoma City seeks a Data Engineer to design, build, and maintain data pipelines that support data-driven decisions. You'll work with diverse data sources, ensure data quality, and enable availability.

Join a collaborative team focused on software solutions for the insurance industry. You’ll work with Spark/Hadoop, cloud platforms, and modern BI tools; mentoring and continual learning are encouraged.

Qualificações

• Bachelor’s degree or equivalent experience in CS/DS or related field.
• 3–5 years in data engineering with SQL and DB design.
• Proficiency in Python or Java and data processing frameworks.
• Experience with cloud platforms and data services.
• Strong problem-solving and communication skills.

Responsabilidades

• Design, build, and maintain data pipelines and ETL processes to support our clients' data needs.
• Develop and optimize data models and schemas to ensure data quality and integrity.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor and troubleshoot data pipelines to ensure they're running efficiently and effectively.
• Stay up-to-date with the latest data engineering technologies and trends.
• Mentor and train junior team members on best practices and industry standards.
• Participate in code reviews and contribute to the team's continuous improvement initiatives.
• Work with cloud-based data platforms to ensure scalability and performance.

Conhecimentos

SQL & DB design

Python

Java

Apache Spark

Hadoop

AWS

Azure

Tableau/Power BI

Formação académica

Bachelor's degree in Computer Science, Data Science, or related field

Ferramentas

SQL

Apache Spark

Hadoop

Python

Java

AWS

Azure

Tableau/Power BI

Descrição da oferta de emprego

Sterling Elite seeks a Data Engineer to design, build, and maintain data pipelines in Oklahoma City, OK. This full-time role offers a salary range of $110,000 to $157,573 and includes benefits such as health insurance and retirement plans.

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines that enable data-driven decisions. You will work with various data sources and ensure data integrity and availability.

You will join a collaborative team in Oklahoma City, OK, where your contributions are valued and your ideas are encouraged. The workplace is established and dedicated to excellence in software solutions for the insurance industry, providing a stable and supportive environment for professional growth. The team consists of experienced professionals who are passionate about their work and committed to delivering high-quality solutions. You will have the opportunity to work alongside these experts, learning from their knowledge and expertise while also contributing your own unique skills and perspectives. The workplace culture emphasizes collaboration and teamwork, fostering an atmosphere where everyone's voice is heard and valued. This collaborative environment not only enhances the quality of the work produced but also promotes a sense of camaraderie and mutual respect among team members. The focus on excellence in software solutions for the insurance industry ensures that the team is at the forefront of technological advancements, providing innovative and reliable solutions to meet the evolving needs of the industry.

The salary range for this position is $110,000 to $157,573, reflecting the competitive nature of the role and the value it brings to the organization. Benefits include comprehensive health insurance that covers a wide range of medical services, retirement plans with employer matching contributions, and professional development opportunities such as workshops, courses, and conferences to help employees enhance their skills and advance their careers.

You should have a degree in Computer Science, Data Engineering, or a related field. Experience with data pipeline tools and technologies is required. Strong problem-solving skills and attention to detail are essential.

Responsibilities:

• Design, build, and maintain data pipelines and ETL processes to support our clients' data needs.
• Develop and optimize data models and schemas to ensure data quality and integrity.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor and troubleshoot data pipelines to ensure they're running efficiently and effectively.
• Stay up-to-date with the latest data engineering technologies and trends.
• Mentor and train junior team members on best practices and industry standards.
• Participate in code reviews and contribute to the team's continuous improvement initiatives.
• Work with cloud-based data platforms to ensure scalability and performance.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience.
• 3-5 years of experience in data engineering, with a strong background in SQL and database design.
• Proficiency in Python or Java, and experience with data processing frameworks like Apache Spark or Hadoop.
• Familiarity with cloud platforms such as AWS or Azure, and experience with cloud-based data services.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and collaboration skills, with the ability to translate business requirements into technical solutions.
• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Knowledge of insurance industry data and regulations is a plus.