Staff Software Engineer - Data Integration
New
J
JobgetherData Intelligence
Based in the United StatesFull-TimeStaff
Salary$180,000–$225,000 USD
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Job Details
- Required Skills
- SQLETLTypeScriptData engineering
Requirements
- Proven experience in data engineering, metadata management, systems integration, or a closely related technical discipline.
- Hands-on experience with ETL platforms, SQL parsing, data lineage, transformation logic, or comparable data integration technologies.
- Strong ability to reverse engineer unfamiliar systems, including technologies with limited or incomplete documentation.
- Professional experience with TypeScript and a strong understanding of automated software testing practices.
- Demonstrated experience using AI-assisted development tools as an integrated part of the software engineering lifecycle.
- Strong problem-solving skills and a practical engineering mindset.
- Ability to operate effectively in an early-stage environment with evolving requirements and significant individual ownership.
- A bias toward action, rapid delivery, thorough validation, and continuous improvement.
- Strong communication and collaboration skills, with the ability to work closely with architects and other technical stakeholders.
- Experience with Informatica PowerCenter, DataStage, Talend, SSIS, or similar enterprise platforms is a plus.
- Familiarity with graph models, OpenMetadata, OpenLineage, compilers, parsers, SQL transformation frameworks, or related technologies is advantageous.
- Experience delivering software in regulated, security-sensitive, or highly controlled environments is also a plus.
Responsibilities
- Build and maintain robust connectors for legacy ETL platforms, databases, modern cloud data systems, and other enterprise technologies.
- Develop parsers capable of processing XML, SQL, repository exports, scripts, and vendor-specific or proprietary formats.
- Transform extracted metadata into accurate lineage, dependency, and transformation models that customers can trust.
- Create automated tests, validation frameworks, and known-good datasets to continuously verify connector accuracy and reliability.
- Partner with senior technical leadership to improve the connector framework, establish reusable architectural patterns, and document best practices.
- Reverse engineer unfamiliar or poorly documented systems to understand their structures, dependencies, and transformation logic.
- Integrate AI into everyday engineering workflows, using it to accelerate reverse engineering, coding, testing, debugging, documentation, and problem solving.
- Contribute to a fast-moving product environment where shipping quickly, validating thoroughly, and iterating based on real-world findings are essential.
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