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We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Customer Solutions Implementation Engineer
Location
United States
Posted
91 days ago
Salary
0
Job Description
Customer Solutions Implementation Engineer
Jobgether
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves contributing to the delivery of complex, data-driven solutions that support enterprise-level property tax implementations. You will work closely with cross-functional teams to design, build, and optimize technical solutions that integrate diverse systems and large datasets. The position combines hands-on engineering with solution architecture, focusing on database design, integrations, and scalable implementation practices. You will help transform custom client solutions into reusable capabilities that can evolve into product features. This role offers an opportunity to work on sophisticated data challenges while leveraging modern development tools and AI-assisted workflows. - Lead technical discovery for data-intensive implementations, analyzing source systems, data structures, integration constraints, and validation requirements. - Design and develop database-layer components including schemas, transformations, views, stored procedures, and performance optimizations. - Build, implement, and troubleshoot integrations through APIs and file-based ingestion pipelines, ensuring reliability through monitoring, retries, and reconciliation processes. - Create reusable implementation assets such as templates, reference architectures, documentation, validation frameworks, and repeatable starter kits for solution teams. - Identify recurring implementation patterns and collaborate with engineering teams to transform them into scalable product capabilities. - Translate implementation insights into clear technical specifications including requirements, architecture recommendations, acceptance criteria, and testing strategies. - Develop prototypes and proof-of-concepts using SQL and optionally Python to validate technical approaches and reduce engineering risks. - Define and maintain data quality controls and regression checks to ensure long-term reliability as solutions scale. - Leverage AI-assisted development tools to accelerate engineering workflows while maintaining strict validation, testing, and documentation standards. Qualifications - 5+ years of experience in a hands-on technical role such as Technical Implementation Engineer, Integration Engineer, or a similar position. - Strong expertise in SQL and relational database design, including schema development and data transformation. - Proven experience designing and maintaining production-grade data pipelines and integrations using APIs, ETL/ELT workflows, or file-based ingestion. - Solid understanding of API development and integration concepts including REST or GraphQL, authentication mechanisms, pagination, rate limiting, and error handling. - Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, or similar platforms within engineering workflows. - Ability to translate complex or ambiguous business requirements into robust technical solutions and validate outcomes end-to-end. - Strong technical documentation and communication skills, with the ability to explain architecture decisions and tradeoffs across technical and non-technical teams. - Experience working with complex regulatory or rules-heavy domains such as finance, tax, ERP systems, healthcare, or compliance-driven environments. - Familiarity with cloud-based data platforms such as Snowflake, PostgreSQL, SQL Server, or BigQuery. - Knowledge of data orchestration or transformation tools such as dbt, Airflow, Azure Data Factory, Fivetran, Informatica, or SSIS. - Programming experience with Python for automation, validation, or internal tooling. - Experience with modern development workflows including Git, pull requests, CI/CD pipelines, and observability practices. Benefits - Competitive compensation package with potential performance bonuses - Flexible remote work environment within the United States - Paid time off and paid parental leave - Comprehensive health, medical, life, and disability insurance options (may vary by location) - Opportunities to work with modern cloud data platforms and AI-assisted development tools - Collaborative and inclusive work environment that values innovation and continuous learning - Access to employee resource groups and initiatives supporting diversity and inclusion - Professional growth opportunities within a fast-growing technology-driven environment
Job Requirements
- 5+ years of experience in a hands-on technical role such as Technical Implementation Engineer, Integration Engineer, or a similar position.
- Strong expertise in SQL and relational database design, including schema development and data transformation.
- Proven experience designing and maintaining production-grade data pipelines and integrations using APIs, ETL/ELT workflows, or file-based ingestion.
- Solid understanding of API development and integration concepts including REST or GraphQL, authentication mechanisms, pagination, rate limiting, and error handling.
- Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, or similar platforms within engineering workflows.
- Ability to translate complex or ambiguous business requirements into robust technical solutions and validate outcomes end-to-end.
- Strong technical documentation and communication skills, with the ability to explain architecture decisions and tradeoffs across technical and non-technical teams.
- Experience working with complex regulatory or rules-heavy domains such as finance, tax, ERP systems, healthcare, or compliance-driven environments.
- Familiarity with cloud-based data platforms such as Snowflake, PostgreSQL, SQL Server, or BigQuery.
- Knowledge of data orchestration or transformation tools such as dbt, Airflow, Azure Data Factory, Fivetran, Informatica, or SSIS.
- Programming experience with Python for automation, validation, or internal tooling.
- Experience with modern development workflows including Git, pull requests, CI/CD pipelines, and observability practices.
Benefits
- Competitive compensation package with potential performance bonuses
- Flexible remote work environment within the United States
- Paid time off and paid parental leave
- Comprehensive health, medical, life, and disability insurance options (may vary by location)
- Opportunities to work with modern cloud data platforms and AI-assisted development tools
- Collaborative and inclusive work environment that values innovation and continuous learning
- Access to employee resource groups and initiatives supporting diversity and inclusion
- Professional growth opportunities within a fast-growing technology-driven environment
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