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Python AWS Spark Engineer, Plano, TX (Hybrid)

MetaRPO

Hybrid in Plano, Texas • Today

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Root Cause Analysis
Problem Solving
Production Support
Extract, Transform, Load
Git
PySpark
ELT
Electronic Health Record (EHR)
FOCUS
Data Processing
Data Quality
Distributed Computing
Continuous Integration
Data Engineering
Conflict Resolution
Continuous Delivery
Cloud Computing
Collaboration
Communication
Analytics
Apache Spark
Banking
Amazon Redshift
Amazon S3
Amazon Web Services
Python
Regulatory Compliance
Relational Databases
SQL
Scalability
Unit Testing
Workflow

Root Cause Analysis
Problem Solving
Production Support
Extract, Transform, Load
Git
PySpark
ELT
Electronic Health Record (EHR)
FOCUS
Data Processing
Data Quality
Distributed Computing
Continuous Integration
Data Engineering
Conflict Resolution
Continuous Delivery
Cloud Computing
Collaboration
Communication
Analytics
Apache Spark
Banking
Amazon Redshift
Amazon S3
Amazon Web Services
Python
Regulatory Compliance
Relational Databases
SQL
Scalability
Unit Testing
Workflow

Summary

Python AWS Spark Engineer
Location: Plano, TX
Duration: Long-Term

Job Summary

Seeking an experienced Python AWS Spark Engineer to join the team in Plano, TX. The ideal candidate will have strong hands-on experience with Python, Apache Spark/PySpark, AWS cloud services, and data engineering. This role will focus on developing scalable data processing solutions, building cloud-based data pipelines, and supporting enterprise data platforms.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Python and Apache Spark/PySpark.
Develop high-performance ETL/ELT workflows for large-volume datasets.
Build and deploy data processing solutions on AWS.
Work with AWS services such as S3, Glue, EMR, Lambda, Redshift, and CloudWatch.
Develop and optimize Spark jobs for performance, scalability, and reliability.
Perform data transformation, cleansing, validation, and integration across multiple data sources.
Write efficient Python and SQL code for data processing and analytics.
Troubleshoot production issues and perform root-cause analysis.
Implement data quality, monitoring, logging, and error-handling mechanisms.
Collaborate with data engineers, architects, application teams, and business stakeholders.
Participate in code reviews, unit testing, deployment, and production support.
Follow enterprise security, compliance, and development standards within the banking environment.

Required Skills

7+ years of experience in software/data engineering.
Strong hands-on experience with Python.
Strong experience with Apache Spark / PySpark.
Strong experience with AWS cloud services.
Hands-on experience with AWS S3, Glue, EMR, Lambda, and/or Redshift.
Strong SQL skills and experience working with relational databases.
Experience developing large-scale ETL/ELT data pipelines.
Experience with data transformation and processing of large datasets.
Strong understanding of distributed computing and Spark architecture.
Experience with Git and CI/CD practices.
Excellent problem-solving and communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91175902
Position Id: 9106239
Posted 2 hours ago

Fitment

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Skills

Root Cause Analysis
Problem Solving
Production Support
Extract, Transform, Load
Git
PySpark
ELT
Electronic Health Record (EHR)
FOCUS
Data Processing
Data Quality
Distributed Computing
Continuous Integration
Data Engineering
Conflict Resolution
Continuous Delivery
Cloud Computing
Collaboration
Communication
Analytics
Apache Spark
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Amazon S3
Amazon Web Services
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SQL
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Unit Testing
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Root Cause Analysis
Problem Solving
Production Support
Extract, Transform, Load
Git
PySpark
ELT
Electronic Health Record (EHR)
FOCUS
Data Processing
Data Quality
Distributed Computing
Continuous Integration
Data Engineering
Conflict Resolution
Continuous Delivery
Cloud Computing
Collaboration
Communication
Analytics
Apache Spark
Banking
Amazon Redshift
Amazon S3
Amazon Web Services
Python
Regulatory Compliance
Relational Databases
SQL
Scalability
Unit Testing
Workflow

Summary

Python AWS Spark Engineer
Location: Plano, TX
Duration: Long-Term

Job Summary

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Python and Apache Spark/PySpark.
Develop high-performance ETL/ELT workflows for large-volume datasets.
Build and deploy data processing solutions on AWS.
Work with AWS services such as S3, Glue, EMR, Lambda, Redshift, and CloudWatch.
Develop and optimize Spark jobs for performance, scalability, and reliability.
Perform data transformation, cleansing, validation, and integration across multiple data sources.
Write efficient Python and SQL code for data processing and analytics.
Troubleshoot production issues and perform root-cause analysis.
Implement data quality, monitoring, logging, and error-handling mechanisms.
Collaborate with data engineers, architects, application teams, and business stakeholders.
Participate in code reviews, unit testing, deployment, and production support.
Follow enterprise security, compliance, and development standards within the banking environment.

Required Skills

7+ years of experience in software/data engineering.
Strong hands-on experience with Python.
Strong experience with Apache Spark / PySpark.
Strong experience with AWS cloud services.
Hands-on experience with AWS S3, Glue, EMR, Lambda, and/or Redshift.
Strong SQL skills and experience working with relational databases.
Experience developing large-scale ETL/ELT data pipelines.
Experience with data transformation and processing of large datasets.
Strong understanding of distributed computing and Spark architecture.
Experience with Git and CI/CD practices.
Excellent problem-solving and communication skills.

Dice Id: 91175902
Position Id: 9106239
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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Python AWS Spark EngineerLocation: Plano, TXDuration: Long-Term

Job Summary

Key Responsibilities

Required Skills

Python AWS Spark Engineer, Plano, TX (Hybrid)

Job Details

Skills

Summary

Python AWS Spark EngineerLocation: Plano, TXDuration: Long-Term

Job Summary

Key Responsibilities

Required Skills

Dice Job Match Score™

Similar Jobs

Python AWS Spark Engineer
Location: Plano, TX
Duration: Long-Term

Python AWS Spark Engineer
Location: Plano, TX
Duration: Long-Term