Data Engineer

ACCEPTED; Kentucky; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus scheme

Private medical, dental, and life保险

Ongoing professional development

Structured mentoring

Job summary

Accepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond. With 20+ years of engineering excellence, we’re known for building outcome-driven solutions and high-performing teams that feel like part of your own.

We’re looking for a Data Engineer to strengthen our hybrid delivery teams.

Qualifications

• Proficiency in programming languages with a focus on data analytics (Python & PySpark).
• Minimum 3 years of professional development experience in SQL, ETL & DW.
• Expertise in modern data warehousing techniques (Kimball/Inmon, Data Vault 2.0).
• Practical knowledge with a Cloud Platform (Azure, Databricks).
• Strong understanding of Microsoft BI solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI).
• Experience with workflow/orchestration engines (Airflow, Prefect, Dagster).
• Familiar with Git or other version control tools.
• Degree in Computer Science or related field.

Responsibilities

• Pipeline Development: Design, develop, and maintain data pipelines for reliable processing.
• Data Modeling: Implement and optimize data models, storage, and integration.
• Data Transformation: Profile, cleanse, and transform data.
• Monitoring & Troubleshooting: Monitor pipelines and resolve issues promptly.

Skills

Python

PySpark

SQL

ETL & DW

Data analytics

Education

Bachelor's degree in Computer Science

Tools

Azure

Databricks

Power BI

SQL Server

SSIS

SSAS

Azure Data Factory

Git

Job description

Working model: Hybrid | Type: Full-time

Accepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond. With 20+ years of engineering excellence, we’re known for building outcome-driven solutions and high-performing teams that feel like part of your own.

We’re looking for a Data Engineer to strengthen our hybrid delivery teams.

What You’ll Do

• Pipeline Development: Design, develop, and maintain data pipelines to ensure efficient and reliable data processing;
• Data Modeling: Implement and optimize data models, data storage, and data integration solutions;
• Data Transformation: Perform data profiling, data cleansing, and data transformation activities;
• Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.

What You’ll Bring

• Proficiency in programming languages with a focus on data analytics (ideally Python & PySpark);
• Minimum 3 years of professional development experience in SQL, ETL & DW;
• Expertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0);
• Practical knowledge with a Cloud Platform (e.g. Azure, Databricks);
• Solid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI);
• Experience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster);
• Familiar with Git or other version control tools;
• A degree in Computer Science or related field.
  

Why Accepted

• Competitive compensation aligned with your experience and skills;
• Annual bonus scheme linked to company performance;
• Private medical, dental, and life insurance coverage;
• Ongoing professional development through training and certifications;
• Structured mentoring to support your growth and advancement.

All applications are confidential. We are proud to be an Equal Opportunity Employer.