Data Platform Engineer

JACK Entertainment; Cleveland (OH); On-site; USD 70,000 - 100,000; Full time

Job summary

JACK Entertainment in Cleveland, OH is seeking a data engineer to work across data integration, pipeline development, data modeling, and quality monitoring to support analytics and reporting workflows. The role emphasizes problem-solving, documentation, and collaboration with stakeholders, with responsibilities spanning AI-assisted coding, testing, and deployment practices.

Ideal candidates have 1–3 years in data engineering or related fields, a Bachelor’s degree or equivalent experience, and a

Qualifications

• Strong foundational SQL and relational data experience.

Responsibilities

• Build, maintain, and improve data pipelines across systems and warehouses.
• Document data environment, sources, integrations, and access controls.
• Audit current data architecture for reliability, scalability, quality, security, and maintainability.
• Collaborate with teammates and stakeholders to prioritize improvements.
• Develop reusable data models for reporting and analytics.
• Add testing, monitoring, logging and docs to data workflows.
• Investigate failed jobs and data issues with root-cause analysis.
• Write clean, testable code with version control and automated testing.
• Translate business needs into practical technical solutions.
• Leverage AI-assisted development tools with colleague review.

Skills

SQL

Python

R

ETL

Databases

Data Warehouses

APIs

Scheduled Jobs

Cloud Data Services

Git

Problem Solving

Communication

Documentation

Curiosity

AI Tools

Security & Validation

Education

Bachelor’s degree in Computer/Data Science or Analytics

1–3 years of relevant data engineering experience

Tools

Azure

AWS

Google Cloud

Snowflake

Databricks

BigQuery

Redshift

Microsoft Fabric

Synapse

dbt

Airflow

Dagster

Prefect

Azure Data Factory

Power BI

Tableau

Looker

CI/CD

Infrastructure as Code

Containers

Deployment Automation

Data Quality

Governance

Data Lineage

Cataloging

Privacy

Access Management

Data Architecture

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