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Entry Level Data Platform Engineer Jobs (NOW HIRING)

Jack Entertainment

Data Platform Engineer

Cleveland, OH · On-site

$23.61 - $70.82/hr

You will have the opportunity to work across several areas of data engineering rather than being ... Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.

Hadrian Automation

Data Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

As a Data Platform Engineer, you will own key segments of the data flow from source to trusted dataset: ingestion, change data capture, streaming, lakehouse storage, orchestration, transformation ...

Adonis Technology, Inc

Data Platform Engineer

New York, NY · On-site

$165K - $190K/yr

The Role You will build and operate components of our data platform: the pipelines that move health ... You will work within workstreams scoped and architected with senior engineers on the team, and own ...

Adonis

Data Platform Engineer

Manhattan, NY · On-site

$165K - $190K/yr

The Role You will build and operate components of our data platform: the pipelines that move health ... You will work within workstreams scoped and architected with senior engineers on the team, and own ...

Jack Entertainment

Data Platform Engineer

Cleveland, OH · On-site

$70K/yr

You will have the opportunity to work across several areas of data engineering rather than being ... Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.

El Toro IP Targeting

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

Data Platform Engineer I Location: Louisville, KY Job Id: 237 # of Openings: 1 Data Platform Engineer I Location: Louisville, KY About El Toro At El Toro, everything we do starts with one purpose ...

Adonis Technology, Inc.

Data Platform Engineer

Manhattan, NY · On-site

$165K - $190K/yr

Base Salary $165K - $190K The Role You will build and operate components of our data platform: the ... You will work within workstreams scoped and architected with senior engineers on the team, and own ...

Adonis Technology, Inc.

$165K - $190K/yr

Base Salary $165K - $190K The Role You will build and operate components of our data platform: the ... You will work within workstreams scoped and architected with senior engineers on the team, and own ...

New

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

Data Platform Engineer I Location: Louisville, KY About El Toro At El Toro, everything we do starts with one purpose: turning data into results brands can see, measure, and trust. As the leader in ...

Tookitaki Holding PTE LTD

$115K - $139K/yr

Senior Data Platform Engineer -- Cloudera, AWS & Kubernetes The mission We are looking for a battle-tested Data Platform Engineer who can build, operate, troubleshoot, and evolve large-scale data ...

Parisi Labs

ML Data Platform Engineer

Manhattan, NY · On-site

$175K - $245K/yr

About The Role We are looking for an ML Data Platform Engineer to make the data behind our models and products dependable, understandable, and easy to use. This role sits where data engineering meets ...

Parisi Labs

ML Data Platform Engineer

New York, NY · On-site

$175K - $245K/yr

About The Role We are looking for an ML Data Platform Engineer to make the data behind our models and products dependable, understandable, and easy to use. This role sits where data engineering meets ...

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

Position Summary As a Data Platform Engineer I, you'll help build the pipelines, workflows, and tooling that turn raw, messy data into something the rest of El Toro can trust and act on; the backbone ...

Qualysoft

... Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen ... Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten.

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Entry Level Data Platform Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 12, 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:

What are popular job titles related to Entry Level Data Platform Engineer jobs?

For Entry Level Data Platform Engineer jobs, the most frequently searched job titles are:

Entry Level Data Platform Engineer jobs near you
Infographic showing various Entry Level Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Platform Engineer

Cleveland, OH • On-site

Jack Entertainment
5 - 10K employees
Learn more about Jack Entertainmentexternal

$23.61 - $70.82/hr

Full-time

Posted 25 days ago

Jack Entertainment rating

6.6

Company rating: 6.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively.
Essential Functions
  • Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools.
  • Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls.
  • Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns.
  • Work with more experienced team members and business stakeholders to evaluate and prioritize improvements.
  • Develop and maintain reusable data models for reporting, analytics, and operational use.
  • Add testing, monitoring, alerting, logging, and documentation to important data workflows.
  • Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis.
  • Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices.
  • Translate business needs into practical technical solutions with guidance from internal stakeholders.
  • Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting.
  • Review and validate AI-generated work rather than accepting it without verification.
  • Learn unfamiliar systems and technologies as needed and share what you discover with the team.

Knowledge, Skills & Abilities
  • Strong foundational SQL skills and experience working with relational data.
  • Working knowledge of Python, R, or another language used for data processing and automation.
  • Some experience building, modifying, or supporting ETL/ELT pipelines.
  • Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services.
  • Basic experience with Git and modern software-development practices.
  • An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly.
  • A dependable approach to execution, documentation, and follow-through.
  • Genuine curiosity and a willingness to learn technologies outside your current experience.
  • Practical experience using AI coding assistants or language models as part of a development workflow.
  • Good judgment about validating AI-generated code and protecting confidential or sensitive company information.

Education and Experience
  • Bachelor's degree in Computer/Data Science or Analytics. In lieu of a degree, comparable professional experience in this discipline.
  • Approximately 1-3 years of relevant professional experience in data engineering, software development, analytics engineering, database development, or a related area.
  • Equivalent hands-on experience through internships, substantial projects, certifications, or other demonstrated work will also be considered.

Additional Preferred Experience
  • Cloud platforms such as Azure, AWS, or Google Cloud.
  • Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.
  • Transformation or orchestration tools such as dbt, Airflow, Dagster, Prefect, or Azure Data Factory.
  • Business intelligence tools such as Power BI, Tableau, or Looker.
  • CI/CD, infrastructure as code, containers, or automated deployment processes.
  • Data quality, governance, lineage, cataloging, privacy, or access management.
  • Supporting or documenting an existing data architecture.

Required Certification/License
  • Ability to obtain an OCCC Gaming License, OCCC Sports Gaming License, and an OLC Gaming License

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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