IT ADVANZ
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 9+ years of experience, offering a W2 contract in Florida (Hybrid). Key skills include Apache Spark, Scala, ETL, MongoDB, REST APIs, and Snowflake. A Bachelor's or Master's degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Florida, United States
-
🧠 - Skills detailed
#Code Reviews #GIT #Spark (Apache Spark) #Cloud #Apache Airflow #Batch #Data Storage #Business Analysis #Programming #Big Data #Databases #Snowflake #Data Pipeline #Data Processing #SQL (Structured Query Language) #Data Architecture #Distributed Computing #Data Engineering #AWS (Amazon Web Services) #Airflow #Agile #Azure #REST (Representational State Transfer) #Scala #Apache Spark #Data Integration #REST API #Data Ingestion #Computer Science #Data Modeling #Data Warehouse #Storage #HBase #Scrum #Deployment #MongoDB #"ETL (Extract #Transform #Load)"
Role description
Role: Data Engineer
Location: Florida (Hybrid)
Minimum Experience required: 9+
W2
Job Summary
We are seeking a skilled Data Engineer with strong experience in designing, developing, and maintaining scalable data processing solutions. The ideal candidate should have expertise in Apache Spark, Scala, ETL development, MongoDB, REST APIs, and Snowflake. Experience with HBase is a plus. You will work closely with cross-functional teams to build robust data pipelines and support enterprise analytics and reporting initiatives.
Key Responsibilities
• Design, develop, and optimize scalable ETL pipelines for batch and real-time data processing.
• Build high-performance data processing applications using Apache Spark and Scala.
• Integrate data from multiple sources, including REST APIs, databases, and cloud platforms.
• Develop and maintain data ingestion and transformation workflows.
• Work with MongoDB for data storage, retrieval, and optimization.
• Design and optimize Snowflake data warehouse solutions for analytics and reporting.
• Develop reusable, maintainable, and efficient code following best practices.
• Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
• Collaborate with business analysts, data architects, and application teams to understand data requirements.
• Participate in code reviews, testing, deployment, and production support activities.
• Document technical designs, workflows, and operational procedures.
Required Skills
• Strong hands-on experience with Apache Spark.
• Proficiency in Scala programming.
• Experience developing and maintaining ETL pipelines.
• Strong knowledge of MongoDB.
• Experience developing and consuming REST APIs.
• Hands-on experience with Snowflake.
• Good understanding of SQL and data modeling concepts.
• Familiarity with Git and CI/CD practices.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
Preferred Skills
• Experience with HBase.
• Knowledge of distributed computing and big data ecosystems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with workflow orchestration tools such as Apache Airflow.
• Experience working in Agile/Scrum environments.
Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 9+ years of experience in Data Engineering or Big Data development.
• Proven experience delivering enterprise-scale data integration and analytics solutions.
Thanks & Regards
Yogesh Jagtap
Recruitment Lead
yogeshj@itadvanz.com
www.itadvanz.com
Role: Data Engineer
Location: Florida (Hybrid)
Minimum Experience required: 9+
W2
Job Summary
We are seeking a skilled Data Engineer with strong experience in designing, developing, and maintaining scalable data processing solutions. The ideal candidate should have expertise in Apache Spark, Scala, ETL development, MongoDB, REST APIs, and Snowflake. Experience with HBase is a plus. You will work closely with cross-functional teams to build robust data pipelines and support enterprise analytics and reporting initiatives.
Key Responsibilities
• Design, develop, and optimize scalable ETL pipelines for batch and real-time data processing.
• Build high-performance data processing applications using Apache Spark and Scala.
• Integrate data from multiple sources, including REST APIs, databases, and cloud platforms.
• Develop and maintain data ingestion and transformation workflows.
• Work with MongoDB for data storage, retrieval, and optimization.
• Design and optimize Snowflake data warehouse solutions for analytics and reporting.
• Develop reusable, maintainable, and efficient code following best practices.
• Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
• Collaborate with business analysts, data architects, and application teams to understand data requirements.
• Participate in code reviews, testing, deployment, and production support activities.
• Document technical designs, workflows, and operational procedures.
Required Skills
• Strong hands-on experience with Apache Spark.
• Proficiency in Scala programming.
• Experience developing and maintaining ETL pipelines.
• Strong knowledge of MongoDB.
• Experience developing and consuming REST APIs.
• Hands-on experience with Snowflake.
• Good understanding of SQL and data modeling concepts.
• Familiarity with Git and CI/CD practices.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
Preferred Skills
• Experience with HBase.
• Knowledge of distributed computing and big data ecosystems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with workflow orchestration tools such as Apache Airflow.
• Experience working in Agile/Scrum environments.
Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 9+ years of experience in Data Engineering or Big Data development.
• Proven experience delivering enterprise-scale data integration and analytics solutions.
Thanks & Regards
Yogesh Jagtap
Recruitment Lead
yogeshj@itadvanz.com
www.itadvanz.com
