Senior Data Engineer

Insight Global; Duluth (GA); On-site; USD 130,000 - 150,000; Full time

Job summary

Insight Global in Duluth, GA is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data architecture across multiple sources, and to publish curated datasets for analytics, reporting, ML, and application use.

The role administers Snowflake environments, enforces data governance, collaborates with stakeholders, optimizes performance, supports onboarding of new sources, and drives incident response and documentation.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 6 - 8 years of experience in data engineering or related field.
• Strong experience designing and maintaining production-grade data pipelines in cloud environments.
• Advanced proficiency in SQL and query optimization.
• Proficiency in Python for data processing and automation.
• Experience with Snowflake platform administration and performance tuning.
• Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar.
• Strong understanding of data modeling (dimensional modeling, schema design).
• Experience implementing data governance (RBAC, data quality, lineage, metadata).
• Familiarity with CI/CD practices and version control tools (Git).
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication skills with ability to translate technical concepts to business stakeholders.

Responsibilities

• Designs, builds, and maintains scalable data pipelines and data architecture, including ELT/ETL processes across multiple data sources.
• Develops and publishes curated datasets and data products for analytics, reporting, machine learning, and application use cases.
• Administers and optimizes Snowflake environments, including database objects, warehouses, and role-based access controls.
• Implements and enforces data governance practices such as data quality validation, metadata management, lineage tracking, and access policies.
• Collaborates with business and technical stakeholders to gather requirements, troubleshoot issues, and deliver data solutions.
• Monitors platform performance and resource utilization, implementing optimizations to balance cost and efficiency.
• Supports onboarding of new data sources and integration of enterprise systems into the data platform.
• Leads data incident response, root cause analysis, and remediation for pipeline or data quality issues.
• Maintains documentation for data architecture, pipelines, governance policies, and standards.

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Snowflake

Apache Spark

Airflow

dbt

Git

Power BI

Tableau

Job description

Job Description

• Designs, builds, and maintains scalable data pipelines and data architecture, including ELT/ETL processes across multiple data sources.
• Develops and publishes curated datasets and data products for analytics, reporting, machine learning, and application use cases.
• Administers and optimizes Snowflake environments, including database objects, warehouses, and role-based access controls.
• Implements and enforces data governance practices such as data quality validation, metadata management, lineage tracking, and access policies.
• Collaborates with business and technical stakeholders to gather requirements, troubleshoot issues, and deliver data solutions.
• Monitors platform performance and resource utilization, implementing optimizations to balance cost and efficiency.
• Supports onboarding of new data sources and integration of enterprise systems into the data platform.
• Leads data incident response, root cause analysis, and remediation for pipeline or data quality issues.
• Maintains documentation for data architecture, pipelines, governance policies, and standards.

Must be willing to work onsite in Duluth 5 days a week, can work an earlier shift (7-4PM if needed)

Target Salary - 130-150k

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

• Bachelor’s degree in Computer Science, Engineering, or related field
• 6 - 8 years of experience in data engineering or related field
• Strong experience designing and maintaining production-grade data pipelines in cloud environments
• Advanced proficiency in SQL and query optimization
• Proficiency in Python for data processing and automation
• Experience with Snowflake platform administration and performance tuning
• Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
• Strong understanding of data modeling (dimensional modeling, schema design)
• Experience implementing data governance (RBAC, data quality, lineage, metadata)
• Familiarity with CI/CD practices and version control tools (Git)
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills with ability to translate technical concepts to business stakeholders
• Bachelor’s degree in Computer Science, Engineering, or related field
• 6 - 8 years of experience in data engineering or related field
• Strong experience designing and maintaining production-grade data pipelines in cloud environments
• Advanced proficiency in SQL and query optimization
• Proficiency in Python for data processing and automation
• Experience with Snowflake platform administration and performance tuning
• Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
• Strong understanding of data modeling (dimensional modeling, schema design)
• Experience implementing data governance (RBAC, data quality, lineage, metadata)
• Familiarity with CI/CD practices and version control tools (Git)
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills with ability to translate technical concepts to business stakeholders
• Bachelor’s degree in Computer Science, Engineering, or related field
• 6 - 8 years of experience in data engineering or related field
• Strong experience designing and maintaining production-grade data pipelines in cloud environments
• Advanced proficiency in SQL and query optimization
• Proficiency in Python for data processing and automation
• Experience with Snowflake platform administration and performance tuning
• Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
• Strong understanding of data modeling (dimensional modeling, schema design)
• Experience implementing data governance (RBAC, data quality, lineage, metadata)
• Familiarity with CI/CD practices and version control tools (Git)
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills with ability to translate technical concepts to business stakeholders
• Experience with Medallion architecture (Bronze/Silver/Gold layers)
• Experience supporting BI tools (Power BI, Tableau) and ML/AI pipelines
• Experience integrating ERP, transactional, and third-party data sources
• Exposure to data mesh, data contract, or data product frameworks.