INTL - Data Engineer

Insight Global; Hudson (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

Insight Global is looking for a Data Engineer to support a major home solutions client. You will work with data sources, transform and validate data, and define data logic to enable reliable reporting for a dedicated analytics team.

The role requires advanced Snowflake expertise, 5+ years in data engineering, and a strong grasp of relational databases, data modeling, and data validation. Collaboration with stakeholders and experience with Tableau and Salesforce reporting are valued.

Qualifications

• Advanced Snowflake expertise required.
• 5+ years' experience in Data Engineering.
• Strong understanding of relational databases and data modeling.
• Experience with data transformation and business logic.
• Experience with data validation, reconciliation, and root cause analysis.
• Stakeholder communication and requirements gathering.
• Tableau dashboarding and Salesforce reporting experience.
• Experience integrating data from multiple sources for reporting.

Responsibilities

• Troubleshoot data issues and perform root cause analysis.
• Validate and reconcile data across source systems.
• Investigate reporting discrepancies and determine underlying causes.
• Define relationships between data objects, tables, and business entities.
• Collaborate with stakeholders to understand requirements and deliver solutions.
• Work with multiple data sources to prepare data for reporting and analytics.

Skills

Data engineering

Root cause analysis

Stakeholder communication

Data quality

Data modeling

Data transformation

Troubleshooting

Independent work

Requirements gathering

Problem solving

Tools

Snowflake

Tableau

Salesforce

Relational databases

Data integration

SQL

Job description

Job Description

Insight Global is looking to hire a Data Engineer for one of our largest home solutions clients. The primary focus is on working with data sources, transforming and validating data, defining data logic, and supporting reporting teams with clean, reliable datasets. Strong Snowflake expertise is critical, while Tableau and Salesforce experience are valuable additions. This team focuses on data transformation and data enablement. They prepare and structure data for a data analyst team, which owns the reporting and dashboarding function. The role is heavily focused on transforming data, defining business logic, and ensuring data quality across multiple systems.

Key Responsibilities

• Troubleshoot data issues and perform root cause analysis.
• Validate and reconcile data across source systems.
• Investigate reporting discrepancies and determine underlying causes.
• Define relationships between data objects, tables, and business entities.
• Collaborate directly with stakeholders to understand requirements and deliver solutions.
• Work with multiple data sources to prepare and structure data for reporting and analytics consumption.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Advanced Snowflake expertise (most important requirements)
• 5+ years' experience in Data Engineering
• Strong understanding of:
• Relational databases
• Data modeling concepts
• Table relationships and object structures
• Data transformation and business logic
• Experience with:
• Data validation and reconciliation
• Root cause analysis and troubleshooting
• Stakeholder communication and requirements gathering
• Ability to work independently and translate business needs into data solutions. Tableau dashboarding and visualization experience.
• Salesforce reporting experience and familiarity with Salesforce terminology and data structures.
• Experience working across different data sources and integrating data for reporting purposes.