Lenora Systems Inc
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in Reading, PA, on a contract basis. Key skills required include Python, PySpark, and Talend 8. Experience with AWS services and data lake architectures is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reading, PA
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🧠 - Skills detailed
#Monitoring #Logging #AWS (Amazon Web Services) #Redshift #Scala #Batch #S3 (Amazon Simple Storage Service) #Athena #PySpark #Apache Iceberg #Data Transformations #Data Lake #Python #Talend #"ETL (Extract #Transform #Load)" #Migration #AWS S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #Aurora #Lambda (AWS Lambda) #Data Engineering #Microservices
Role description
Role: Sr. Data Engineer
Location: Reading, PA
Type: Contract Roles
Role 1: Sr.Data Engineer-- Must have Python & PySpark.
Role 2: Sr.Data Engineer-- Must have Talend 8 version.
• Design, develop, and maintain large-scale batch and streaming pipelines using PySpark and Python.
• Build real-time and near real-time streaming applications with stateful processing, windowing, and checkpointing.
• Develop production-grade Python microservices for complex data transformations and business logic.
• Design and manage modern data lake architectures using Apache Iceberg on AWS S3, implementing schema evolution, partitioning, compaction, and time travel.
• Develop and deploy pipelines across AWS services including S3, EMR, Glue, Lambda, Athena, Redshift, and Aurora.
• Optimize Spark workloads for performance, scalability, and cost efficiency.
• Implement monitoring, logging, alerting, and recovery mechanisms for robust production operations.
• Contribute to CI/CD pipelines, participate in architecture discussions, and uphold engineering best practices.
Lenora Systems upholds the policy of equal employment opportunity. We commit to consider all eligible candidates for employment without discrimination on the grounds of age, lineage, nationality, hue, family or medical leave, gender identity or expression, genetic data, immigration status, marital circumstance, medical status, national origin, physical or psychological disability, political alignment, veteran or military status, race, ethnicity, faith, sex (including maternity), sexual preference, or any other attribute safeguarded by relevant local statutes, directives, and ordinances.
Role: Sr. Data Engineer
Location: Reading, PA
Type: Contract Roles
Role 1: Sr.Data Engineer-- Must have Python & PySpark.
Role 2: Sr.Data Engineer-- Must have Talend 8 version.
• Design, develop, and maintain large-scale batch and streaming pipelines using PySpark and Python.
• Build real-time and near real-time streaming applications with stateful processing, windowing, and checkpointing.
• Develop production-grade Python microservices for complex data transformations and business logic.
• Design and manage modern data lake architectures using Apache Iceberg on AWS S3, implementing schema evolution, partitioning, compaction, and time travel.
• Develop and deploy pipelines across AWS services including S3, EMR, Glue, Lambda, Athena, Redshift, and Aurora.
• Optimize Spark workloads for performance, scalability, and cost efficiency.
• Implement monitoring, logging, alerting, and recovery mechanisms for robust production operations.
• Contribute to CI/CD pipelines, participate in architecture discussions, and uphold engineering best practices.
Lenora Systems upholds the policy of equal employment opportunity. We commit to consider all eligible candidates for employment without discrimination on the grounds of age, lineage, nationality, hue, family or medical leave, gender identity or expression, genetic data, immigration status, marital circumstance, medical status, national origin, physical or psychological disability, political alignment, veteran or military status, race, ethnicity, faith, sex (including maternity), sexual preference, or any other attribute safeguarded by relevant local statutes, directives, and ordinances.
