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Entry Level Data Platform Engineer Jobs (NOW HIRING)

Data Platform Engineer

San Mateo, CA · On-site

$130K - $156K/yr

Data Platform Engineer We're looking for a highly motivated, hands-on Data Platform Engineer to help build, maintain, and evolve our cloud-based data platform on AWS and Databricks. This role is ...

New

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This ...

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of ... with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

JOB SUMMARY Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

JOB SUMMARY Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic ...

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data Platform Engineer to design and build the connective tissue between real-world data systems and our AI platform. You will create scalable, reusable data connectors and ...

Lead Data platform Engineer

Boston, MA · Hybrid

$111K - $146K/yr

Strong hands-on engineer with experience building modern cloud-based data platforms. Ideal background: • Financial services, asset management, fintech, or large enterprise environments • Data ...

Data Platform Engineer.

Dallas, TX · On-site

$113K - $136K/yr

USC * Azure/Azure data factory * Storage accounts * Familiar with infrastructure as code (They use bicep but terraform experience is ok) * Devops pipeline to deploy code to infrastructure

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Entry Level Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level data platform engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Platform Engineer vs Data Analyst?

AspectEntry Level Data Platform EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; knowledge of SQL, cloud platformsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, data visualization tools
Work EnvironmentDeveloping and maintaining data infrastructure, working with data engineers and cloud servicesAnalyzing data sets, creating reports, and visualizations for business insights
Employer & Industry UsageTech companies, data-driven organizations, cloud service providersMarketing, finance, healthcare, and other industries requiring data insights

While both roles involve working with data, Entry Level Data Platform Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to generate insights. The roles often overlap in skills like SQL but differ in responsibilities and work environment.

What cities are hiring for Entry Level Data Platform Engineer jobs? Cities with the most Entry Level Data Platform Engineer job openings:
What are the most commonly searched types of Data Platform Engineer jobs? The most popular types of Data Platform Engineer jobs are:
What states have the most Entry Level Data Platform Engineer jobs? States with the most job openings for Entry Level Data Platform Engineer jobs include:
Data Platform Engineer

Data Platform Engineer

PlayStation Global

San Mateo, CA • On-site

$130K - $156K/yr

Other

Posted 2 days ago


Job description

San Diego Studio, maker of MLB The Show, is looking to add a Data Platform Engineer to our All-Star line-up.
Data Platform Engineer

We're looking for a highly motivated, hands-on Data Platform Engineer to help build, maintain, and evolve our cloud-based data platform on AWS and Databricks. This role is ideal for an engineer with experience in DevOps, platform engineering, or cloud infrastructure who is interested in expanding into Data Engineering while supporting a modern data ecosystem.

You will work closely with Data Engineering and Data Science teams to maintain reliable, secure, and scalable infrastructure, improve platform operations, and contribute to data pipeline development and platform tooling.
The interview process will include multiple rounds of virtual interviews. Candidates who advance to the final stage will be required to participate in an onsite interview at the San Diego Studio.

Responsibilities

Platform Administration & Cloud Infrastructure

  • Support administration of AWS services and Databricks environments.
  • Maintain platform configurations, access controls, and security best practices.
  • Assist with vendor and platform partner relationships.
  • Contribute to monitoring, troubleshooting, operational support, and reliability improvements.

Infrastructure & DevOps

  • Develop and maintain Infrastructure as Code using Terraform.
  • Improve environment provisioning and configuration management across development and production environments.
  • Support CI/CD workflows for infrastructure and platform deployments.
  • Implement and maintain operational best practices for cloud infrastructure.

Data Platform & Engineering Support

  • Support development and maintenance of data pipelines and integrations using Python, Spark, SQL, and AWS services such as API Gateway, EC2, DynamoDB, and Glue.
  • Assist with data quality validation, testing, code reviews, and documentation.
  • Collaborate with Data Engineering and Data Science teams to support analytics, machine learning, and telemetry initiatives.
  • Contribute to platform tooling and process improvements that increase team productivity and reliability.

Cost & Operational Governance

  • Support cloud cost management through resource tagging, budgeting, usage monitoring, and optimization efforts.
  • Assist with rightsizing compute, storage, and workload configurations.
  • Help identify opportunities to improve efficiency and reduce operational costs.

Required Qualifications

  • 2+ years of experience in platform engineering, DevOps, cloud infrastructure, or related engineering roles.
  • Hands-on experience with AWS services in production environments.
  • Experience working with Databricks.
  • Experience with CI/CD tools and workflows, such as GitHub Actions or Jenkins.
  • Familiarity with AWS Cost Management tools, CloudWatch, CloudTrail, and related operational tooling.
  • Understanding of security fundamentals, including IAM/RBAC, least privilege access, network controls, encryption, and secrets management.
  • Strong communication and collaboration skills in a cross-functional environment.
  • Interest in expanding into Data Engineering and supporting data-driven platforms.

Preferred Qualifications

  • Proficiency in Python and SQL.
  • Experience with AWS data services such as Glue, Kinesis, or Lambda.
  • Exposure to Spark and distributed data processing.
  • Experience developing or supporting data pipelines and ETL workflows.