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Aws Certified Data Analytics Jobs (NOW HIRING)

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Certified Data Engineer or Analytics - Specialty, AWS Certified Solutions Architect, or other relevant certifications. • Experience: Previous experience in a similar role within a fast-paced ...

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability. NICE TO HAVE * AWS Certified Data Engineer - Associate certification.

Sr. Data Engineer

$117K - $140K/yr

AWS Certified Database Specialty (DBS-C01) or AWS Certified Data Analytics Specialty (DAS-C01) * Familiarity with AWS Services including * Redshift * DynamoDB

OR · On-site

$114K - $137K/yr

AWS Certified Data Analytics * AWS Certified Security - Specialty * AWS Certified Cloud Practitioner #LI-JC1

Data Architect- Wealth Management

Naperville, IL · On-site

$63.75 - $82/hr

AWS Certifications (AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect, etc.) * TOGAF or other Enterprise Architecture framework experience. * Experience with Data Catalog ...

Data Architect- Wealth Management

Naperville, IL · On-site

$63.75 - $82/hr

AWS Certifications (AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect, etc.) * TOGAF or other Enterprise Architecture framework experience. * Experience with Data Catalog ...

Showing results 21-40

Aws Certified Data Analytics information

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$11

$48

$88

How much do aws certified data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for aws certified data analytics in the United States is $48.55, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $68.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS Certified Data Analytics professional?

To thrive as an AWS Certified Data Analytics professional, you need expertise in data management, analytics solutions, and a solid understanding of AWS services, typically validated by the AWS Certified Data Analytics – Specialty certification. Familiarity with tools such as Amazon Redshift, Kinesis, Glue, and QuickSight, as well as proficiency in SQL, Python, and data visualization platforms, is essential. Strong analytical thinking, problem-solving abilities, and effective communication set top performers apart in this role. These skills enable professionals to design scalable analytics solutions, derive actionable insights, and support data-driven decision-making for organizations.

Can I get a job with an AWS Certified Data Analytics certification?

An AWS Certified Data Analytics certification can enhance your qualifications for roles such as data analyst or data engineer, demonstrating expertise in AWS analytics services like Amazon Athena, Redshift, and Glue. While certification improves job prospects, employers also value practical experience, programming skills, and knowledge of data management tools. Having a strong understanding of cloud environments and data workflows is essential for securing relevant positions.

What is an AWS Certified Data Analytics professional?

An AWS Certified Data Analytics professional is someone who has demonstrated expertise in using AWS services to design, build, secure, and maintain analytics solutions. These professionals typically specialize in collecting, storing, processing, and visualizing data using AWS tools such as Amazon Redshift, Kinesis, S3, Glue, and QuickSight. Earning this certification shows that the individual has the skills to implement scalable and cost-effective data analytics solutions in the AWS Cloud. It is a valuable credential for data engineers, data analysts, and architects working with big data in cloud environments.

What is the difference between Aws Certified Data Analytics vs Data Engineer?

CriteriaAws Certified Data AnalyticsData Engineer
CertificationsAWS Certified Data Analytics, AWS certificationsVarious certifications, including cloud and data-specific
Work EnvironmentCloud platforms, AWS ecosystemCloud and on-premises environments, data pipelines
Industry UsageData analytics, business intelligence, cloud servicesData pipeline development, ETL processes, database management

The AWS Certified Data Analytics role focuses on leveraging AWS tools for data analysis and visualization, while Data Engineers build and maintain data pipelines and infrastructure. Both roles require knowledge of cloud platforms and data processing, but Data Engineers typically have broader responsibilities in data architecture and engineering tasks.

What are some common challenges faced by AWS Certified Data Analytics professionals when integrating data from multiple sources?

AWS Certified Data Analytics professionals often encounter challenges such as handling data variety and ensuring data quality when integrating information from multiple sources like databases, IoT devices, and third-party APIs. Differences in data formats, inconsistent schemas, and varying data update frequencies can complicate the process. Leveraging AWS services like Glue for ETL (Extract, Transform, Load) and Lake Formation for data cataloging can help streamline integration, but ongoing collaboration with data engineers and business stakeholders is essential to resolve data discrepancies and align on data governance practices.
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What cities are hiring for Aws Certified Data Analytics jobs? Cities with the most Aws Certified Data Analytics job openings:
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Infographic showing various Aws Certified Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,975 per year, or $48.5 per hour.

AWS Cloud Data Engineer

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


Job description

Job Title: AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
  • Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
  • Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
  • Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
  • Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
  • Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
  • Ability to obtain a Federal Public Trust clearance.
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
  • Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
  • Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
  • Proficiency in Python, Scala, or Java for data processing and pipeline development.
  • Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
  • Understanding of data modeling concepts for transactional and analytical workloads.
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
  • Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
  • AWS Certified Data Engineer – Associate certification.
  • AWS Certified Solutions Architect or other relevant AWS certifications.
  • Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
  • Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
  • Familiarity with Git and collaborative development practices.
  • Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
  • Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
  • Understanding of data privacy regulations and compliance frameworks.
  • Experience tuning and optimizing distributed data processing systems.
  • Knowledge of networking, security, and IAM policies related to data engineering workflows.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CD1 Ref: #851-Rockville-S1