Data Engineer
Backend Developer
Python
Amazon Web Services
AWS
Aws Glue
Big Data
Bigdata
CI/CD
Cloud
Cloud Computing
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Infrastructure
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databricks
DevOps
Devops Tools
DevSecOps
ETL
Informatica
Information Technology (IT)
Infrastructure As Code
IT Services
Programming Language
Programming Languages
Security Devops
Software Development
Spark
Job Description
Robotics Technologies is hiring a hands-on Data Engineer in Plano, TX, onsite. This role focuses on building and maintaining reliable data integrations and pipeline workflows using Python and AWS Glue, with support for enterprise data platform connectivity and data lake or lakehouse environments.
Role Responsibilities
- Design, build, and maintain data pipelines using Python and AWS services.
- Develop data ingestion and connectivity solutions for enterprise data platforms.
- Work with AWS data lake services including Amazon S3, AWS Glue, and Lake Formation.
- Use AWS CLI and EC2 to support engineering and data workloads.
- Implement and maintain CI/CD pipelines using Jenkins and Bitbucket.
- Troubleshoot pipeline failures and improve data quality and reliability.
- Collaborate with platform and engineering teams to support shared data services.
Required Qualifications
- Strong hands-on Python programming experience.
- Practical AWS experience including S3, AWS CLI, EC2, AWS Glue, and Lake Formation.
- Understanding of data lakes and data pipeline development.
- Experience with CI/CD pipelines, including Jenkins and Bitbucket.
- Ability to build, test, troubleshoot, and maintain production data pipelines.
Key Technologies
Experience with the following technologies is relevant to this role: Python, AWS, AWS Glue, Amazon S3, Lake Formation, AWS CLI, EC2, Jenkins, Bitbucket, Snowflake, Databricks, Apache Iceberg, AWS Bedrock, Terraform, PySpark, and Apache Spark.
Preferred Skills
- Familiarity with Snowflake, Databricks, and Apache Iceberg.
- Experience with AWS Bedrock and exposure to AI agentic workflows.
- Experience with Terraform, PySpark, or Apache Spark.
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