Korn Ferry
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Plano, TX, offering a contract length of unspecified duration with a pay rate of "unknown." Key skills include AWS technologies, SQL, Python, and experience in the fintech industry. A minimum of 5 years in data modeling and warehousing is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
December 9, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Plano, TX
-
🧠 - Skills detailed
#Data Pipeline #Scala #Deployment #Spark (Apache Spark) #Batch #Data Architecture #Python #Data Privacy #Big Data #GIT #Snowflake #Data Modeling #Tableau #Compliance #Metadata #Kafka (Apache Kafka) #Datasets #Databases #Microsoft Power BI #Databricks #Monitoring #NoSQL #Data Processing #SQL (Structured Query Language) #Cloud #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Teradata #Jenkins #Data Lineage #Java #AWS Glue #Terraform #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Graph Databases #Data Quality #Data Profiling #Storage #Data Engineering #Security #Automation #Anomaly Detection #Data Science #Migration #IAM (Identity and Access Management) #Data Management
Role description
We have partnered with our client in their search for a Data Engineer in Plano, TX.
Responsibilities
• Design, build, and maintain scalable data pipelines to support real-time, batch, and streaming data processing using tools such as Python, Java, Spark, and Kafka.
• Develop and optimize ETL/ELT workflows for ingesting, transforming, and integrating large datasets from multiple internal and external sources.
• Create and maintain data models (logical and physical) to support analytics, reporting, and application development.
• Implement robust data quality processes including validation rules, anomaly detection, monitoring, and automated data checks.
• Ensure data compliance and governance by adhering to Company standards for security, data privacy, metadata management, data lineage, and audit requirements.
• Collaborate with cross-functional teams including data scientists, analysts, software engineers, business stakeholders, and architects to deliver high-quality data solutions.
• Optimize performance of data pipelines, distributed systems, and storage solutions to ensure reliability and scalability.
• Contribute to modern data platform initiatives, including cloud migration, big data architecture, and adoption of new data technologies.
• Develop automation and CI/CD processes for deployments, testing, and monitoring of data engineering solutions using tools such as Jenkins, Git, and Terraform.
• Troubleshoot and resolve pipeline issues, ensuring stability, accuracy, and timely delivery of data across the organization.
Skills Required
• 1. Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions
1. Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala)
1. Experience working with relational database such as Teradata and handling both structured and unstructured datasets
• Preferred / Ideal to have -
1. Proficiency in SQL, Python
1. Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases)
1. Experience with Snowflake and Databricks
• Good to have -
1. Proficiency in tools such as SQL, Python, Tableau or Power BI
1. Understanding of financial industry metrics and business processes
1. AWS Cloud Practitioner or Developer certifications
Education & Work Experience
5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data
Title Data Engineer
Location Plano, TX
Client Industry Fintech
Ref ID 1684778
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
We have partnered with our client in their search for a Data Engineer in Plano, TX.
Responsibilities
• Design, build, and maintain scalable data pipelines to support real-time, batch, and streaming data processing using tools such as Python, Java, Spark, and Kafka.
• Develop and optimize ETL/ELT workflows for ingesting, transforming, and integrating large datasets from multiple internal and external sources.
• Create and maintain data models (logical and physical) to support analytics, reporting, and application development.
• Implement robust data quality processes including validation rules, anomaly detection, monitoring, and automated data checks.
• Ensure data compliance and governance by adhering to Company standards for security, data privacy, metadata management, data lineage, and audit requirements.
• Collaborate with cross-functional teams including data scientists, analysts, software engineers, business stakeholders, and architects to deliver high-quality data solutions.
• Optimize performance of data pipelines, distributed systems, and storage solutions to ensure reliability and scalability.
• Contribute to modern data platform initiatives, including cloud migration, big data architecture, and adoption of new data technologies.
• Develop automation and CI/CD processes for deployments, testing, and monitoring of data engineering solutions using tools such as Jenkins, Git, and Terraform.
• Troubleshoot and resolve pipeline issues, ensuring stability, accuracy, and timely delivery of data across the organization.
Skills Required
• 1. Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions
1. Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala)
1. Experience working with relational database such as Teradata and handling both structured and unstructured datasets
• Preferred / Ideal to have -
1. Proficiency in SQL, Python
1. Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases)
1. Experience with Snowflake and Databricks
• Good to have -
1. Proficiency in tools such as SQL, Python, Tableau or Power BI
1. Understanding of financial industry metrics and business processes
1. AWS Cloud Practitioner or Developer certifications
Education & Work Experience
5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data
Title Data Engineer
Location Plano, TX
Client Industry Fintech
Ref ID 1684778
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
