Data Engineer

Insight Global; Dublin (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Insight Global is seeking a Data Engineer (Senior level or above preferred) to design, develop, and maintain enterprise data solutions on the Snowflake platform. The role focuses on building scalable data pipelines, curated reporting datasets, and enforcing data governance while collaborating with business users, analysts, and engineers to deliver reliable analytical solutions.

The ideal candidate brings expert SQL and Python skills, experience designing data pipelines, and a strong

Qualifications

• Expert-level SQL proficiency
• Advanced query development
• Performance optimization and tuning
• Data modeling
• View and stored procedure development
• Complex joins, aggregations, and analytical functions
• Data validation and reconciliation
• Expert-level Python proficiency
• Data engineering automation
• Data transformation and processing
• API integration
• Data quality validation
• Workflow automation
• Analytical and operational tooling
• Experience designing and building data pipelines
• Experience developing reporting-ready datasets
• Strong understanding of data warehousing principles
• Experience working with large-scale enterprise data environments

Responsibilities

• Design, develop, and maintain enterprise data solutions on Snowflake.
• Build scalable data pipelines and curated reporting datasets.
• Implement data governance standards and partner with stakeholders.
• Translate requirements into reliable analytical solutions.
• Deliver high-quality data products for enterprise reporting and analytics initiatives.

Skills

SQL proficiency

Python

Data modeling

Data warehousing

Data pipeline design

Data validation

Performance tuning

ETL pipelines

API integration

Data governance

Workflow automation

Analytical/reporting

Big data environments

Data quality

GitHub workflows

CI/CD

Tools

Snowflake

Power BI

Airflow

GitHub

Cloud platforms

CI/CD

DevOps practices

Job description

Job Description

The Data Engineer (Senior Level or above preferred) will design, develop, and maintain enterprise data solutions on the Snowflake platform. This role is responsible for building scalable data pipelines, developing curated reporting datasets, implementing data governance standards, and partnering with business stakeholders to translate requirements into reliable analytical solutions.The ideal candidate combines strong technical expertise with the ability to work directly with business users, analysts, and engineers to deliver high-quality data products that support enterprise reporting and analytics initiatives.

Skills and Requirements

Required Qualifications

• Expert-level SQL proficiencyo
• Advanced query developmento
• Performance optimization and tuningo
• Data modelingo
• View and stored procedure developmento
• Complex joins, aggregations, and analytical functionso
• Data validation and reconciliation
• Expert-level Python proficiencyo
• Data engineering automationo
• Data transformation and processingo
• API integrationso
• Data quality validationo
• Workflow automationo
• Analytical and operational toolingo
• Experience designing and building data pipelines
• Experience developing reporting-ready datasets
• Strong understanding of data warehousing principles
• Experience working with large-scale enterprise data environments

Preferred Qualifications

• Strong Snowflake experience
• Experience with Power BI
• Experience with Airflow or similar orchestration platforms
• Experience with GitHub-based development workflows
• Experience with cloud data platforms
• Experience with CI/CD and DevOps practices
• Experience mentoring junior engineers

Critical Success Factors

A successful candidate:

• Demonstrates exceptional SQL and Python skills.
• Takes ownership from requirements through deployment.
• Produces well-documented, maintainable solutions.
• Balances technical excellence with business needs.
• Communicates effectively with both technical and non-technical audiences.
• Champions data quality, governance, and engineering best practices.

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [e-mail].