Data Engineer II: Build Scalable Data Pipelines & Analytics

Relha LLC; Northern (KY); Hybrid; USD 84,000 - 141,000; Full time

Job summary

Deloitte is seeking a Data Engineer II to design, build, and maintain scalable data pipelines that enable analytics and business decision-making across client and internal needs.

The role emphasizes data quality, cross-team collaboration, and production stability, using Palantir Foundry, SQL, Python, and PySpark in a dynamic environment. Join a team delivering modern data platforms and data-driven insights.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
• 3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows.
• 3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation.
• 1+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling.
• 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability.
• Ability to travel 10%, based on client engagement.
• Must be legally authorized to work in the United States without employer sponsorship.

Responsibilities

• Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data.
• Develop and optimize data models, integration patterns, and storage solutions to support analytics, reporting, and operational use cases.
• Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls.
• Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies.
• Document technical designs, data lineage, and deployment processes, and support testing, release, and production stabilization activities.

Skills

Independent work

Team collaboration

Communication skills

Attention to detail

Professional relationships

Leadership

Task prioritization

Interpersonal skills

Deadline adherence

Guidance to others

Education

Bachelor's degree in CS/EE/DS or related field

Master's degree (preferred)

Tools

Palantir Foundry

Apache Airflow

Snowflake/Databricks/Amazon Redshift

Version control & CI tools

Job description

Deloitte is seeking a Data Engineer II to design, build, and maintain scalable data pipelines that enable analytics and business decision-making across client and internal needs.

The role emphasizes data quality, cross-team collaboration, and production stability, using Palantir Foundry, SQL, Python, and PySpark in a dynamic environment. Join a team delivering modern data platforms and data-driven insights.