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Aws Emr Engineer Jobs (NOW HIRING)

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$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 ...

Accord Technologies Inc.

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 ...

MSYS Inc.

Senior Data Engineer - Onsite

Wilmington, DE · On-site

$102K - $139K/yr

AWS EKS * AWS EMR * AWS S3 * AWS Aurora * AWS MSK * AWS SNS * AWS SQS * Apache Kafka * Terraform Ideal Candidate * Strong background in data engineering and distributed computing. * Experience ...

New

Vi

Sr. Applied AI/ML Engineer

$117K - $140K/yr

Vi is looking for an engineer with deep expertise building and scaling big-data and ML pipelines ... Apache PySpark, Apache Iceberg, AWS EMR, Glue, S3 * Python, PyTorch, sklearn, xgboost, catboost ...

SmallArc, Inc

Databrick Architect

Tarrytown, NY · On-site

$68.50 - $90/hr

... from AWS EMR, Apache NiFi, and legacy ETL frameworks to the Databricks Lakehouse Platform. · ... CD, DevOps, Infrastructure as Code, and automation practices. · Collaborate with business ...

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Aws Emr Engineer information

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How much do aws emr engineer jobs pay per hour?

As of Sep 11, 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 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?

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.

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Aws Emr Engineer jobs near you
Infographic showing various Aws Emr Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,164 per year, or $47.7 per hour.

Big Data Engineer

Creve Coeur, MO • On-site

Ocelot Consulting
Software Development • 51 - 200 employees
Learn more about Ocelot Consultingexternal

$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.

Apply