Data Engineer

Summit Pacific Group; Tampa (FL); Vor Ort; USD 120.000 - 169.000; Vollzeit

Benefits dieser Stelle

Health insurance

Retirement plan

Tuition reimbursement

Paid time off

Flexible work arrangements

Wellness programs

Zusammenfassung

Summit Pacific Group in Tampa, FL is seeking a Data Engineer to design, build, and maintain data pipelines that support business operations. This full-time role collaborates with cross-functional teams to ensure data accuracy and accessibility.

Daily tasks include developing pipelines, integrating data from various sources, and ensuring data quality. Applicants should have a bachelor's degree in CS/DE and experience with SQL, Python, Airflow, and cloud platforms like AWS/GCP.

Qualifikationen

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 3+ years of experience as a Data Engineer or similar role.
• Proficiency in SQL and at least one scripting language (Python, R, etc.).
• Experience with big data technologies (Hadoop, Spark, etc.).
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Strong problem-solving and analytical skills.

Aufgaben

• Design, develop, and maintain data pipelines and ETL processes
• Collaborate with data scientists and analysts to understand data requirements
• Optimize data storage and retrieval processes for performance and scalability
• Monitor data quality and implement data validation checks
• Troubleshoot and resolve data-related issues
• Stay up-to-date with emerging technologies and industry best practices

Kenntnisse

SQL

Python

Ausbildung

Bachelors in CS/DE

Tools

Hadoop

Spark

AWS

Azure

GCP

Jobbeschreibung

Summit Pacific Group, a financial services leader, seeks a Data Engineer in Tampa, FL. This full-time role involves designing, building, and maintaining data pipelines to support business operations. You'll collaborate with cross-functional teams to ensure data accuracy and accessibility.

Daily tasks include developing and optimizing data pipelines, integrating data from various sources, and ensuring data quality. You'll also troubleshoot issues, implement data security measures, and provide technical support to other teams.

You'll join our team in Tampa, FL, working in a collaborative environment with a focus on innovation and excellence. The workplace is modern and conducive to productivity, with opportunities for professional growth.

The salary range for this position is between $120,000 and $168,731 per year, providing a competitive compensation package. In addition to the base salary, the role offers a comprehensive benefits package that includes comprehensive health insurance coverage, which typically encompasses medical, dental, and vision plans. Employees are also eligible for retirement plans, such as a 401(k) or pension scheme, to help them save for their future. Furthermore, the position provides opportunities for professional development, allowing employees to enhance their skills and advance their careers. This includes access to training programs, workshops, and conferences, as well as potential tuition reimbursement for further education. The role also offers other benefits such as paid time off, flexible work arrangements, and wellness programs to support a healthy work-life balance. Overall, the comprehensive benefits package aims to support the overall well-being and success of the employees in this role.

You must have a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data pipeline tools like Apache Airflow, Python, and SQL is required. Knowledge of cloud platforms like AWS or GCP is a plus.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes


• Collaborate with data scientists and analysts to understand data requirements


• Optimize data storage and retrieval processes for performance and scalability


• Monitor data quality and implement data validation checks


• Troubleshoot and resolve data-related issues


• Stay up-to-date with emerging technologies and industry best practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field


• 3+ years of experience as a Data Engineer or similar role


• Proficiency in SQL and at least one scripting language (Python, R, etc.)


• Experience with big data technologies (Hadoop, Spark, etc.)


• Knowledge of cloud platforms (AWS, Azure, GCP)


• Strong problem-solving and analytical skills