Call Quest Solution · 3 hours ago
Data Engineer- W2
Orlando, FL
Contract
Hybrid
Mid Level
3+ years expCall Quest Solution is seeking a Data Engineer to partner with cross-functional business teams to design, build, and support scalable data pipelines and analytics platforms. The role involves hands-on data engineering across cloud and on-prem environments, focusing on supporting enterprise analytics initiatives aligned with the company’s data strategy.
Staffing & Recruiting
Responsibilities
Design, build, test, deploy, and support secure, scalable data pipelines
Maintain and monitor enterprise data warehouses and analytics platforms
Integrate new data sources into the central data ecosystem
Develop reusable, automated solutions for data ingestion and transformation
Perform root cause analysis to support business questions and improvements
Build and consume APIs to exchange data between systems
Support cloud and on-prem data and web service solutions
Collaborate with project managers, business analysts, and data scientists
Partner with leadership to ensure data infrastructure meets evolving needs
Continuously evaluate technical strategy and recommend improvements
Qualification
Required
3+ years of data engineering or related IT experience
1+ year experience with Apache Spark
1+ year experience with Hadoop
1+ year experience with Java/Scala
1+ year experience with Python
1+ year experience with AWS architecture
1+ year experience with Microsoft .NET technologies (C#) and Windows/web application development
2+ years experience in data modeling
2+ years experience in database development using PL/SQL, SQL Server 2016+, and Snowflake
1+ year experience building ETL/data pipelines in cloud and on-prem environments using tools such as Snowpipe
1+ year experience building ETL/data pipelines in cloud and on-prem environments using tools such as Informatica
1+ year experience building ETL/data pipelines in cloud and on-prem environments using tools such as Airflow
1+ year experience building ETL/data pipelines in cloud and on-prem environments using tools such as Kafka (or similar)
Strong SQL skills and relational database development
Experience building and optimizing ETL/ELT pipelines
Data modeling and data warehouse management
Working with large, disconnected, and unstructured datasets
API development and integration
Strong analytical and problem-solving skills
Ability to translate business requirements into technical solutions
Bachelor's degree in Computer Science, Information Systems, or related field
Preferred
Master's degree
Snowflake certification
Python certification
Company
Call Quest Solution
At Call Quest Solutions, we believe great companies are built by great people.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase