Onsite Data Engineerw Python Miami
IT Search Corp, Miami, FL, United States
Benefits
401(k) matching
Bonus based on performance
Dental insurance
Health insurance
Job Title
Data Engineer
Location
Onsite - Miami, FL
Salary
$130,150K base, 10% bonus
Overview
We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.
Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
Deep understanding of big data tools (Hadoop, Spark) and ETL processes.
Hands‑on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).
Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.
Experience designing and managing data warehouses for performance and scalability.
Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.
Preferred
Strong experience in software architecture, design patterns, and code optimization.
Expertise in Python-based pipelines and ETL frameworks.
Experience with Azure Data Services and Databricks.
Excellent problem‑solving, analytical, and communication skills.
Experience working in agile environments and collaborating with diverse teams.
#J-18808-Ljbffr
401(k) matching
Bonus based on performance
Dental insurance
Health insurance
Job Title
Data Engineer
Location
Onsite - Miami, FL
Salary
$130,150K base, 10% bonus
Overview
We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.
Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
Deep understanding of big data tools (Hadoop, Spark) and ETL processes.
Hands‑on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).
Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.
Experience designing and managing data warehouses for performance and scalability.
Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.
Preferred
Strong experience in software architecture, design patterns, and code optimization.
Expertise in Python-based pipelines and ETL frameworks.
Experience with Azure Data Services and Databricks.
Excellent problem‑solving, analytical, and communication skills.
Experience working in agile environments and collaborating with diverse teams.
#J-18808-Ljbffr