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Entry Level Aws Data Analytics Jobs (NOW HIRING)

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

Partner with cross-functional teams, analysts, and software engineers to ensure data accuracy ... AWS Ecosystem: Hands-on experience with core AWS data services (S3, Glue, Lambda, Redshift, IAM ...

Work under the direction of the Manager of Data Analytics to assure corporate architecture ... AWS. Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or ...

Data & Analytics - Consultant CFGI, founded in 2000, is a dynamic and fast-growing financial ... AWS, or similar platforms. * Experience partnering with finance, accounting, FP&A, or business ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent). * Strong ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent). * Strong ...

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Big Data / Analytics Developer 12 Months+ St. Louis, Missouri 08-03-2015 Senior Big Data Analytics ... Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as ...

Showing results 41-60

Entry Level Aws Data Analytics information

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$153K

$178.7K

$202K

How much do entry level aws data analytics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level aws data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

Are there entry-level AWS Data Analytics jobs?

Yes, entry-level AWS Data Analytics jobs are available and often require foundational knowledge of cloud computing, data analysis, and tools like AWS Glue, Athena, or Redshift. These roles typically target candidates with basic certifications such as AWS Certified Cloud Practitioner or AWS Certified Data Analytics - Specialty and may involve tasks like data processing, reporting, and supporting data infrastructure.

How to get an entry level AWS data analytics job with no experience?

To secure an entry-level AWS data analytics position with no experience, focus on gaining foundational knowledge of AWS services like S3, Redshift, and Athena through online courses or tutorials. Earning relevant certifications such as the AWS Certified Cloud Practitioner or AWS Certified Data Analytics - Specialty can also improve your chances, along with developing skills in SQL, data visualization, and basic scripting. Building a portfolio of personal projects or participating in internships can demonstrate your abilities to employers.
More about Entry Level Aws Data Analytics jobs

What are the most commonly searched types of Aws Data Analytics jobs?

The most popular types of Aws Data Analytics jobs are:

Infographic showing various Entry Level Aws 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 $178,749 per year, or $85.9 per hour.

Data Engineer (AWS & Python)

1 point system

Newark, NJ • On-site

$119K - $143K/yr

Contractor

Posted 14 days ago


Job description

Interview Process: 1st Round Video | 2nd Round Face-to-Face (F2F)

Position Overview

We are seeking a highly skilled and communicative Data Engineer to join our team on a hybrid basis in the NY/NJ area. The ideal candidate will have extensive hands-on experience building scalable data pipelines using Python and AWS cloud services. An active AWS Certification and exceptional communication skills (10/10) are required for this role as you will interact regularly with technical and non-technical stakeholders.

Key Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust, automated ETL/ELT pipelines using Python and AWS technologies.
  • Cloud Architecture: Optimize data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, Redshift, EMR, or Athena.
  • Data Modeling & Optimization: Write complex SQL queries and design scalable data models and data warehouse solutions for downstream analytics.
  • Collaboration & Integration: Partner with cross-functional teams, analysts, and software engineers to ensure data accuracy, security, and availability.
  • Performance Tuning: Monitor, troubleshoot, and optimize pipeline performance and database queries to handle large datasets efficiently.

Required Qualifications & Skills

  • Technical Expertise:
    • Proven experience as a Data Engineer building production-grade data pipelines.
    • Python: Expert-level scripting and data manipulation skills (Pandas, PySpark, etc.).
    • AWS Ecosystem: Hands-on experience with core AWS data services (S3, Glue, Lambda, Redshift, IAM, Athena, CloudWatch).
    • SQL & Data Warehousing: Advanced proficiency in SQL and relational/non-relational databases.
  • Certifications: Active AWS Certification required (e.g., AWS Certified Data Engineer, AWS Solutions Architect, or Developer Associate).