WI · On-site
$120 - $180/hr
Typically 5-10 years of experience in data engineering or big data development * Strong experience ... Knowledge of cloud data platforms (AWS EMR, Azure Data Lake) is a plus * Understanding of banking ...
AWS Architect: Neenah, WI
Neenah, WI · On-site
$65.50 - $85.75/hr
... EMR, S3, Redshift, Athena, etc.). Architect ETL/ELT pipelines and ensure efficient, secure, and ... Collaborate with data engineers, analysts, and business stakeholders to translate business needs ...
Quick apply
AWS Architect: Neenah, WI
Neenah, WI · On-site
$65.50 - $85.75/hr
... EMR, S3, Redshift, Athena, etc.). Architect ETL/ELT pipelines and ensure efficient, secure, and ... Collaborate with data engineers, analysts, and business stakeholders to translate business needs ...
AWS Data Architect
Neenah, WI · On-site
$64.50 - $82.75/hr
... EMR, S3, Redshift, Athena, etc. * Architect and optimize ETL/ELT pipelines ensuring security ... Collaborate with data engineers, analysts, and business teams to translate business requirements ...
Quick apply
AWS Data Architect
Neenah, WI · On-site
$64.50 - $82.75/hr
... EMR, S3, Redshift, Athena, etc. * Architect and optimize ETL/ELT pipelines ensuring security ... Collaborate with data engineers, analysts, and business teams to translate business requirements ...
AWS Data Architect
Neenah, WI · On-site
$64.50 - $82.75/hr
... engineering, or cloud architecture * Strong hands-on expertise with AWS services , including: Storage & Compute: * Amazon S3, EC2, Lambda, ECS, EKS Data Processing & Orchestration: * AWS Glue, EMR ...
Quick apply
AWS Data Architect
Neenah, WI · On-site
$64.50 - $82.75/hr
... engineering, or cloud architecture * Strong hands-on expertise with AWS services , including: Storage & Compute: * Amazon S3, EC2, Lambda, ECS, EKS Data Processing & Orchestration: * AWS Glue, EMR ...
Full Stack Engineer | TypeScript | React | Node.js | AWS - AI Assisted Developement
Brookfield, WI · On-site
... AWS . The ideal candidate is a strong hands-on engineer who can work independently, write ... OpenTelemetry, Sentry, Pino, or similar observability tools. * Healthcare, EHR/EMR, FHIR, or HIPAA ...
Full Stack Engineer | TypeScript | React | Node.js | AWS - AI Assisted Developement
Brookfield, WI · On-site
... AWS . The ideal candidate is a strong hands-on engineer who can work independently, write ... OpenTelemetry, Sentry, Pino, or similar observability tools. * Healthcare, EHR/EMR, FHIR, or HIPAA ...
WI · On-site
$150 - $210/hr
DE designing, developing, and deploying cloud native data engineering and analytics solutions on AWS using Amazon S3, Amazon EMR, AWS Lambda, Amazon SQS (queues), and Amazon SNS (pub/sub), including ...
WI · On-site
$150 - $210/hr
DE designing, developing, and deploying cloud native data engineering and analytics solutions on AWS using Amazon S3, Amazon EMR, AWS Lambda, Amazon SQS (queues), and Amazon SNS (pub/sub), including ...
Sr Data Scientist
Milwaukee, WI · On-site
... programming language; 4 years deploying, monitoring, and maintaining ML/DL model pipelines in a HPC platform using Spark, AWS EMR, MWAA, WMLA, Spectrum Conductor, Airflow, and MLFlow; 4 years ...
Sr Data Scientist
Milwaukee, WI · On-site
... programming language; 4 years deploying, monitoring, and maintaining ML/DL model pipelines in a HPC platform using Spark, AWS EMR, MWAA, WMLA, Spectrum Conductor, Airflow, and MLFlow; 4 years ...
WI · On-site
$130 - $160/hr
AWS Lambda, DynamoDB, Amazon Kinesis, and EMR. * Data Engineering & Governance * BI & EDW: Deep expertise in enterprise data warehousing and business intelligence tools. * Data Modeling: Proven ...
WI · On-site
$130 - $160/hr
AWS Lambda, DynamoDB, Amazon Kinesis, and EMR. * Data Engineering & Governance * BI & EDW: Deep expertise in enterprise data warehousing and business intelligence tools. * Data Modeling: Proven ...
WI · On-site
$180 - $240/hr
Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake ... Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data ...
WI · On-site
$180 - $240/hr
Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake ... Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data ...
Aws Emr Engineer information
What is an AWS EMR engineer?
AWS EMR Engineers are professionals who specialize in designing, implementing, and managing big data solutions using Amazon Web Services Elastic MapReduce (EMR). They work with large-scale data processing frameworks like Apache Hadoop, Spark, and Hive on the AWS EMR platform to help organizations analyze and process vast amounts of data efficiently. These engineers are responsible for setting up EMR clusters, optimizing performance, ensuring data security, and integrating EMR with other AWS services. Their expertise helps companies leverage cloud-based data analytics for business insights and decision-making.
What are some common challenges AWS EMR engineers face when optimizing big data workflows?
AWS EMR Engineers often encounter challenges related to scaling clusters efficiently, managing costs, and ensuring job reliability. Balancing compute resources to avoid over-provisioning while meeting performance needs can be tricky, especially with varying data volumes and workloads. Additionally, troubleshooting Spark or Hadoop job failures and tuning configurations for optimal performance require a deep understanding of both cloud infrastructure and big data frameworks. Collaboration with data scientists and analysts is also key to align technical solutions with business requirements.
What are the key skills and qualifications needed to thrive as an AWS EMR engineer, and why are they important?
To thrive as an AWS EMR Engineer, you need expertise in big data analytics, Hadoop ecosystem tools, and cloud computing, usually backed by a degree in computer science or related field. Familiarity with AWS services like EMR, S3, IAM, as well as scripting languages such as Python or Scala, and relevant certifications (e.g., AWS Certified Data Analytics) are typically required. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and troubleshoot complex data workflows. These skills ensure efficient data processing, secure cloud operations, and successful project delivery within modern data-driven organizations.
What is the difference between Aws Emr Engineer vs Data Engineer?
| Aspect | Aws Emr Engineer | Data Engineer |
|---|---|---|
| Certifications | AWS certifications, especially AWS Certified Data Analytics or Solutions Architect | Generally includes certifications like Google Cloud Professional Data Engineer or Microsoft Azure Data Engineer, but AWS certifications are common |
| Work Environment | Primarily cloud-based, focusing on AWS services like EMR, S3, and Glue | Can be cloud, on-premises, or hybrid, working with various data storage and processing tools |
| Responsibilities | Designing, deploying, and managing big data processing on AWS EMR | Building and maintaining data pipelines, data warehouses, and ETL processes across platforms |
While both roles involve big data processing, Aws Emr Engineers specialize in managing AWS EMR clusters and related services, whereas Data Engineers have a broader scope across multiple platforms and tools. The Aws Emr Engineer role is more cloud-specific, focusing on AWS infrastructure, while Data Engineers work across diverse environments to ensure data availability and quality.
What are popular job titles related to Aws Emr Engineer jobs in Wisconsin?
For Aws Emr Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Aws Emr Engineer jobs in Wisconsin look for?
The top searched job categories for Aws Emr Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Aws Emr Engineer jobs?
Cities in Wisconsin with the most Aws Emr Engineer job openings:
Hadoop Data Engineer
WI • On-site
Jobtailor
$120 - $180/hr
Other
This job post has expired today. Applications are no longer accepted.
Job description
Responsibilities
#J-18808-Ljbffr- Responsible for designing, developing, and maintaining large‑scale data processing systems within a distributed Hadoop ecosystem
- Focus on enabling data‑driven decision‑making across banking operations, risk management, compliance, and customer analytics
- Design, develop, and maintain scalable data pipelines using Hadoop ecosystem tools (HDFS, Hive, Spark, Sqoop, Kafka)
- Build and optimize ETL/ELT processes to support data ingestion from multiple banking systems
- Develop and manage big data solutions for structured and unstructured data
- Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions
- Ensure data quality, integrity, and governance aligned with banking and regulatory standards
- Perform performance tuning and optimization of Hadoop/Spark jobs
- Implement data security controls to comply with financial regulations (e.g., PCI, SOX)
- Support real‑time and batch data processing frameworks
- Troubleshoot production issues and provide continuous support for data platforms
- Work with cloud platforms (e.g., AWS, Azure) for modern data solutions
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
- Typically 5–10 years of experience in data engineering or big data development
- Strong experience with Hadoop ecosystem (HDFS, MapReduce, Hive, HBase)
- Apache Spark (Scala/Python)
- SQL & NoSQL databases
- ETL tools (Informatica, Talend, or similar)
- Kafka or other streaming tools
- Proficiency in Python / Java / Scala
- Experience with Data warehousing concepts
- Workflow orchestration tools (Airflow, Oozie)
- Unix/Linux environments
- Knowledge of cloud data platforms (AWS EMR, Azure Data Lake) is a plus
- Understanding of banking and financial services data
- Exposure to risk, compliance, or fraud analytics is preferred
- Strong problem‑solving and analytical abilities
- Excellent communication and collaboration skills
- Ability to work in Agile/Scrum environments