1

Aws Emr Engineer Jobs (NOW HIRING)

Big Data Engineer

Creve Coeur, MO

$52.25 - $69/hr

Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages ...

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

AWS (EMR, S3, Glue) or GCP (Dataproc, BigQuery) * Programming: Scala/Python/Java * Data Modeling: SQL, NoSQL (HBase, Cassandra) * CI/CD: Git, Jenkins, Terraform * Banking/financial services ...

Java FS Engineer

Sunrise, FL · On-site

$49.25 - $67.75/hr

Java Full Stack Engineer Location: Phoenix, AZ / Sunrise, FL * 5+ years in software development ... Big Query, DataPro, Dataflow, Cloud SQL, Cloud Composer, AWS EMR * Other: Git, Gitflow, Jira ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

AWS Data Warehousing & Analytics: Redshift or Snowflake or Big Query Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker ...

Sr. Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

Core Java, Spark, Scala, AWS (EMR) Nice to have: Python, S3 EC2, EKS, Hadoop, Impala, Hive, Airflow ... Expert Engineers starting to be firm-wide resources working on projects across business. Is multi ...

Lead Software Engineer Python AWS

Plano, TX · On-site

$130K - $160K/yr

As a Lead Software Engineer Python AWS at JPMorgan Chase within the Corporate Technology, you are ... EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow * Application ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Python, Pyspark, AWS, EMR, Reshift, EMR. 3 to 6 years of experience working in Data Engineering or related roles. A degree in Computer Science or an equivalent major. Experience working with various ...

next page

Showing results 1-20

Aws Emr Engineer information

See salary details

$28

$47

$72

How much do aws emr engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for aws emr engineer in the United States is $47.67, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $61.06 per hour, depending on experience, location, and employer.

What are some of the most 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 is the difference between Aws Emr Engineer vs Data Engineer?

AspectAws Emr EngineerData Engineer
CertificationsAWS certifications, especially AWS Certified Data Analytics or Solutions ArchitectGenerally includes certifications like Google Cloud Professional Data Engineer or Microsoft Azure Data Engineer, but AWS certifications are common
Work EnvironmentPrimarily cloud-based, focusing on AWS services like EMR, S3, and GlueCan be cloud, on-premises, or hybrid, working with various data storage and processing tools
ResponsibilitiesDesigning, deploying, and managing big data processing on AWS EMRBuilding 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 AWS EMR Engineers?

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 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.
More about Aws Emr Engineer jobs
What cities are hiring for Aws Emr Engineer jobs? Cities with the most Aws Emr Engineer job openings:
What states have the most Aws Emr Engineer jobs? States with the most job openings for Aws Emr Engineer jobs include:
Infographic showing various Aws Emr Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $99,164 per year, or $47.7 per hour.
Big Data Engineer

$52.25 - $69/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 days ago


Job description

Company Description

Ocelot Consulting specializes in cloud technologies, custom application development and enterprise security. Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies.

Job Description

As a big data engineer you will develop innovative software using state of the art big data streaming architectures.

Qualifications

Requirements

  • Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra
  • Extensive ETL experience
  • General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.)
  • Database Technology - (Postgres, Mongo, Cassandra, Elastic Search, Oracle, etc.) as well as SQL and related query languages

Nice to have

  • Data lakes
  • Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)
  • Experience with Business Intelligence Platforms Experience with modern JavaScript
  • API Development (proper microservice separation, HTTP verb usage)
  • DevOps - understanding of OS and Container Management
    • Distributed microservice architectures providing elasticity, redundancy, failover, and intelligent routing.
    • Docker/Kubernetes/Cloud Foundry experience
Additional Information

Standard Benefits Program (medical, dental, retirement, PTO, etc.)

All your information will be kept confidential according to EEO guidelines.