Programmers.io
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Austin, TX, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Java, AWS, Hadoop, Kafka, Spark/PySpark, and Airflow. Industry experience in data engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 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
Austin, TX
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🧠 - Skills detailed
#Monitoring #Observability #SQL (Structured Query Language) #Batch #AWS S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka) #Airflow #Presto #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Prometheus #Athena #Grafana #Data Quality #Data Engineering #GIT #HDFS (Hadoop Distributed File System) #Hadoop #Data Pipeline #Trino #PySpark #Compliance #Apache Spark #Spark (Apache Spark) #Data Processing #Apache Airflow #Apache Kafka #Java #Libraries #Python
Role description
One of our leading client is looking for Data Engineer in Austin TX
Key Responsibilities:
• Design, build, and maintain data pipelines across on-prem Hadoop and AWS
• Develop and maintain Java applications, utilities, and data processing libraries
• Manage and enhance internal Java libraries used for ingestion, validation, and transformation
• Migrate and sync data from on-prem HDFS to AWS S3
• Develop and maintain Airflow DAGs for orchestration and scheduling
• Work with Kafka-based streaming pipelines for real-time/near-real-time ingestion
• Build and optimize Spark / PySpark jobs for large-scale data processing
• Use Hive, Presto/Trino, and Athena for querying and validation
• Implement data quality checks, monitoring, and alerting
• Support Iceberg tables and AWS external tables
• Troubleshoot production issues and ensure SLA compliance
• Collaborate with platform, analytics, and observability teams
Technical Skills Required:
Java (Development, maintenance, build tools like Gradle)
AWS (S3, Glue, EMR, Athena, EKS basics)
Hadoop/HDFS, Hive
Apache Kafka (producers/consumers, topics, streaming ingestion)
Apache Spark / PySpark (batch + streaming processing)
Apache Airflow (DAG development and maintenance)
Python
Git and CI/CD workflows
Observability tools (Prometheus/Grafana)
SQL
One of our leading client is looking for Data Engineer in Austin TX
Key Responsibilities:
• Design, build, and maintain data pipelines across on-prem Hadoop and AWS
• Develop and maintain Java applications, utilities, and data processing libraries
• Manage and enhance internal Java libraries used for ingestion, validation, and transformation
• Migrate and sync data from on-prem HDFS to AWS S3
• Develop and maintain Airflow DAGs for orchestration and scheduling
• Work with Kafka-based streaming pipelines for real-time/near-real-time ingestion
• Build and optimize Spark / PySpark jobs for large-scale data processing
• Use Hive, Presto/Trino, and Athena for querying and validation
• Implement data quality checks, monitoring, and alerting
• Support Iceberg tables and AWS external tables
• Troubleshoot production issues and ensure SLA compliance
• Collaborate with platform, analytics, and observability teams
Technical Skills Required:
Java (Development, maintenance, build tools like Gradle)
AWS (S3, Glue, EMR, Athena, EKS basics)
Hadoop/HDFS, Hive
Apache Kafka (producers/consumers, topics, streaming ingestion)
Apache Spark / PySpark (batch + streaming processing)
Apache Airflow (DAG development and maintenance)
Python
Git and CI/CD workflows
Observability tools (Prometheus/Grafana)
SQL
