Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-12 month contract, hybrid location in Charlotte, NC, offering a competitive pay rate. Requires 3+ years in ETL/Data Engineering, 1+ year in team leadership, and skills in Apache NiFi, AWS, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#PySpark #Data Lake #NiFi (Apache NiFi) #Data Lakehouse #Automation #AWS EMR (Amazon Elastic MapReduce) #AWS (Amazon Web Services) #SQL (Structured Query Language) #Spark SQL #Project Management #Data Integration #Spark (Apache Spark) #Informatica #Computer Science #"ETL (Extract #Transform #Load)" #Monitoring #Deployment #Talend #Apache NiFi #Data Engineering #Databases #Leadership
Role description
Data Engineer
6-12 Month CTH
Hybrid (4 days a week onsite)
Charlotte, NC
Our telecommunication client is seeking a Data Engineer with a strong ETL background and proven people management experience. This individual will lead and oversee a team responsible for designing, developing, and maintaining ETL workflows primarily using Apache NiFi and AWS-based solutions (PySpark, EMR, SQL). This engineer will also play a key role in project planning, stakeholder communication, and ensuring successful delivery of data integration initiatives.
Key Responsibilities:
• Lead and manage a team of ETL developers supporting Apache NiFi and AWS ETL workloads.
• Oversee the design, development, and optimization of ETL pipelines (NiFi, PySpark, SQL, AWS EMR).
• Provide technical guidance, coaching, and mentoring to team members.
• Partner with stakeholders to define requirements, timelines, and deliverables.
• Manage workload distribution, sprint planning, and resource allocation.
• Ensure operational excellence, monitoring, and SLA adherence for ETL processes.
• Support project management activities, including status reporting and risk management.
• Drive continuous improvement in development practices, automation, and performance optimization
Required Skills & Qualifications:
• Bachelor’s degree in computer science or MBA (or equivalent relevant experience).
• 3+ years of professional experience in ETL/Data Engineering roles.
• 1+ years of people management or team leadership experience.
• Hands-on experience with design, deployment, performance tuning, error handling of ETL jobs.
• Some experience with AWS ecosystem – PySpark, SQL, and EMR.
• Strong SQL skills and familiarity with relational and distributed databases.
• Demonstrated experience with project management and delivery oversight.
• Excellent communication and stakeholder management skills.
• Experience with cable billing systems such as CSG or ICOMS
• Familiarity with data lakehouse technologies (Iceberg, Delta, etc.).
• Exposure to other ETL/data tools (Informatica, Talend, Spark-based ETL)
Data Engineer
6-12 Month CTH
Hybrid (4 days a week onsite)
Charlotte, NC
Our telecommunication client is seeking a Data Engineer with a strong ETL background and proven people management experience. This individual will lead and oversee a team responsible for designing, developing, and maintaining ETL workflows primarily using Apache NiFi and AWS-based solutions (PySpark, EMR, SQL). This engineer will also play a key role in project planning, stakeholder communication, and ensuring successful delivery of data integration initiatives.
Key Responsibilities:
• Lead and manage a team of ETL developers supporting Apache NiFi and AWS ETL workloads.
• Oversee the design, development, and optimization of ETL pipelines (NiFi, PySpark, SQL, AWS EMR).
• Provide technical guidance, coaching, and mentoring to team members.
• Partner with stakeholders to define requirements, timelines, and deliverables.
• Manage workload distribution, sprint planning, and resource allocation.
• Ensure operational excellence, monitoring, and SLA adherence for ETL processes.
• Support project management activities, including status reporting and risk management.
• Drive continuous improvement in development practices, automation, and performance optimization
Required Skills & Qualifications:
• Bachelor’s degree in computer science or MBA (or equivalent relevant experience).
• 3+ years of professional experience in ETL/Data Engineering roles.
• 1+ years of people management or team leadership experience.
• Hands-on experience with design, deployment, performance tuning, error handling of ETL jobs.
• Some experience with AWS ecosystem – PySpark, SQL, and EMR.
• Strong SQL skills and familiarity with relational and distributed databases.
• Demonstrated experience with project management and delivery oversight.
• Excellent communication and stakeholder management skills.
• Experience with cable billing systems such as CSG or ICOMS
• Familiarity with data lakehouse technologies (Iceberg, Delta, etc.).
• Exposure to other ETL/data tools (Informatica, Talend, Spark-based ETL)
