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Aws Big Data Engineer Jobs (NOW HIRING)

In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack You should have deep expertise and passion in working with large data sets ...

In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack You should have deep expertise and passion in working with large data sets ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop ... Experience building and deploying applications to the cloud (AWS, Azure, etc.). * Experience ...

AWS Big Data Lead Software Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue ... Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred ABOUT US ...

Data Engineer

$117K - $140K/yr

Data Engineer JOB RESPONSIBILITIES The primary focus of a Data Engineer will be expanding and ... and AWS 'big data' technologies. * Work with stakeholders teams to assist with data-related ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Summary We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and ... AWS certifications Candidate Skills summary Full Name: Total Years of Exp.: Total Big Data exp.

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data Engineer for a CONTRACT ... Check exposure to AWS services like S3, EMR, Glue, Lambda, Athena, etc. * Ask how they've used S3 ...

Big Data Engineer/Cloud Data Engineer

Richmond, VA · On-site

$55.25 - $73/hr

Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in ... AWS - 2+ years * Java - 6+ years Additional Information All your information will be kept ...

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

AWS experience. * Green Plum experience. * Proficient in Big Data application development skills as well as multiple design techniques * Working proficiency in Big Data development toolset to design ...

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Aws Big Data Engineer information

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$15

$62

$88

How much do aws big data engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for aws big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is an AWS Big Data Engineer?

An AWS Big Data Engineer designs, builds, and maintains big data solutions on Amazon Web Services (AWS). They work with technologies like AWS Glue, Redshift, EMR, S3, and Lambda to process, analyze, and store large datasets. Their responsibilities include data pipeline development, optimizing data workflows, and ensuring scalability. They collaborate with data scientists, analysts, and developers to support business intelligence and machine learning initiatives. Strong knowledge of AWS services, SQL, Python, and big data frameworks like Apache Spark is essential for this role.

What are the main challenges an AWS Big Data Engineer might face on the job?

One of the main challenges for AWS Big Data Engineers is efficiently processing and managing large volumes of diverse data while ensuring high availability and performance across cloud-based platforms. You’ll often need to troubleshoot complex data pipelines, optimize costs, and maintain data security in a constantly evolving cloud environment. Collaboration with data scientists, analysts, and DevOps teams is essential to align technical solutions with business needs and objectives. Overcoming these challenges requires continuous learning and adaptability, but it also provides excellent opportunities to develop advanced technical skills and gain exposure to innovative projects.

Is AWS Big Data Engineer in demand?

AWS Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in AWS services like EMR, Redshift, and S3. Organizations seek professionals skilled in data processing, analytics, and cloud infrastructure to manage large-scale data environments, making this a promising career path with strong job growth prospects.

What are the key skills and qualifications needed to thrive as an AWS Big Data Engineer?

To thrive as an AWS Big Data Engineer, you need strong expertise in data modeling, ETL processes, and distributed data systems, typically backed by a degree in computer science or a related field. Proficiency with AWS services like EMR, Redshift, S3, Glue, and holding relevant AWS certifications is highly valuable. Excellent problem-solving skills, effective communication, and the ability to work collaboratively within cross-functional teams are essential soft skills. These competencies ensure robust and scalable big data solutions that drive meaningful insights and value for organizations.

More about Aws Big Data Engineer jobs
What states have the most Aws Big Data Engineer jobs? States with the most job openings for Aws Big Data Engineer jobs include:
Infographic showing various Aws Big Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Sr. Big Data Engineer

Accord Technologies Inc.

Charlotte, NC • On-site

$54.50 - $72/hr

Contractor

Re-posted 23 days ago


Job description

Job Title: Big Data Engineer
Location: Charlotte, NC (onsite)
Duration: 12 months ext.
Job Type: W2 contract
Job Description:
We are seeking Big Data Engineer to join our Enterprise Data & Analytics team.
In this role, you will design and implement cutting-edge data solutions to transform how we manage, process, and analyze financial data at scale.
Your work will directly support critical functions including risk management, customer analytics, fraud detection, and regulatory compliance.
 
Responsibilities:
  • Design and build enterprise-scale data pipelines processing billions of daily transactions

  • Optimize our Hadoop/Spark ecosystem for performance and reliability

  • Develop real-time data streaming solutions using Kafka/Flume

  • Implement data governance and quality frameworks for financial data

  • Collaborate with data scientists to productionize ML models

  • Modernize legacy data systems to cloud-native architectures (AWS/GCP)

  • Ensure solutions meet banking security and compliance standards (CCAR, BCBS 239)

  • Should have a minimum of 9+ years of experience.

  • Big Data Tech: Hadoop, Spark, Hive, Impala

  • Cloud Platforms: 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 experience
  • Knowledge of data mesh/warehouse/lakehouse architectures

  • Certifications: AWS/GCP Data Engineer, Cloudera/DataBricks