Data Engineer - Pipelines, ETL & Cloud (Tampa)

Summit Pacific Group

Tampa (FL)

Vor Ort

USD 120.000 - 169.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

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 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.

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