Expert Technical Solutions
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Senior Data Engineer Remote / Hybrid (Client Office Locations Optional)
Location:
Remote (Hybrid optional based on client location)
Type:
Direct-Hire, Permanent
Environment:
PostgreSQL, Snowflake, dbt, Cloud Data Platforms, ELT/ETL Pipelines, Git
Expert Technical Solutions (ETS) is seeking a Senior Data Engineer to design, build, and optimize modern data platforms that support enterprise analytics and business intelligence initiatives. This role focuses on creating scalable, cloud-based data architectures, developing robust data pipelines, and ensuring reliable, high-quality data across the organization.
The Senior Data Engineer will play a key role in architecting new database solutions, driving migrations, and optimizing performance within PostgreSQL and Snowflake environments. You will partner closely with analytics, BI, and engineering teams to translate business requirements into scalable technical solutions while supporting data governance, security, and quality initiatives.
Responsibilities
Architect and implement new databases and data platforms to meet business and technical requirements
Design, build, and maintain scalable ELT/ETL pipelines and data models to support analytics and reporting
Manage and optimize database environments, including provisioning, performance tuning, and access controls
Implement automation and workflow orchestration to support reliable and repeatable data deployments
Ensure data quality, consistency, and compliance through monitoring, validation, and governance practices
Collaborate with cross-functional teams to define requirements, estimate effort, and deliver business-aligned solutions
Troubleshoot complex data and performance issues and recommend system improvements
Develop and maintain clear documentation for data architectures, pipelines, and processes
Mentor junior data engineers through technical guidance, code reviews, and best practices
Requirements
Strong experience designing and building enterprise-scale databases and data platforms
Hands‑on experience with PostgreSQL and Snowflake, including performance optimization
Proven experience building and optimizing ELT/ETL pipelines for complex data sets
Experience with dbt for data transformation and modeling
Experience working with cloud‑based architectures and workflow orchestration tools
Proficiency with Git and modern version control practices
Strong analytical, troubleshooting, and root‑cause analysis skills
Excellent communication skills and experience working in agile, cross‑functional teams
Working knowledge of Python preferred; familiarity with data visualization concepts is a plus
Preferred Experience
10+ years of hands‑on experience working with relational databases and data systems
Experience designing and implementing data platforms from the ground up
Background supporting data governance, security, and data quality initiatives
Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
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Senior Data Engineer Remote / Hybrid (Client Office Locations Optional)
Location:
Remote (Hybrid optional based on client location)
Type:
Direct-Hire, Permanent
Environment:
PostgreSQL, Snowflake, dbt, Cloud Data Platforms, ELT/ETL Pipelines, Git
Expert Technical Solutions (ETS) is seeking a Senior Data Engineer to design, build, and optimize modern data platforms that support enterprise analytics and business intelligence initiatives. This role focuses on creating scalable, cloud-based data architectures, developing robust data pipelines, and ensuring reliable, high-quality data across the organization.
The Senior Data Engineer will play a key role in architecting new database solutions, driving migrations, and optimizing performance within PostgreSQL and Snowflake environments. You will partner closely with analytics, BI, and engineering teams to translate business requirements into scalable technical solutions while supporting data governance, security, and quality initiatives.
Responsibilities
Architect and implement new databases and data platforms to meet business and technical requirements
Design, build, and maintain scalable ELT/ETL pipelines and data models to support analytics and reporting
Manage and optimize database environments, including provisioning, performance tuning, and access controls
Implement automation and workflow orchestration to support reliable and repeatable data deployments
Ensure data quality, consistency, and compliance through monitoring, validation, and governance practices
Collaborate with cross-functional teams to define requirements, estimate effort, and deliver business-aligned solutions
Troubleshoot complex data and performance issues and recommend system improvements
Develop and maintain clear documentation for data architectures, pipelines, and processes
Mentor junior data engineers through technical guidance, code reviews, and best practices
Requirements
Strong experience designing and building enterprise-scale databases and data platforms
Hands‑on experience with PostgreSQL and Snowflake, including performance optimization
Proven experience building and optimizing ELT/ETL pipelines for complex data sets
Experience with dbt for data transformation and modeling
Experience working with cloud‑based architectures and workflow orchestration tools
Proficiency with Git and modern version control practices
Strong analytical, troubleshooting, and root‑cause analysis skills
Excellent communication skills and experience working in agile, cross‑functional teams
Working knowledge of Python preferred; familiarity with data visualization concepts is a plus
Preferred Experience
10+ years of hands‑on experience working with relational databases and data systems
Experience designing and implementing data platforms from the ground up
Background supporting data governance, security, and data quality initiatives
Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
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