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SeniorRemoteUS

Staff Software Engineer

J
jobgether
Зарплата
$15,000–$18,800
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the company

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer - Data Integration based in the United States.

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 while retaining ownership of technical decisions and final output quality.
  • Contribute to a fast-moving product environment where shipping quickly, validating thoroughly, and iterating based on real-world findings are essential.
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, rather than only as an occasional productivity aid.
  • Strong problem-solving skills and a practical engineering mindset, with a willingness to investigate issues deeply and fix problems rather than work around them.
  • Ability to operate effectively in an early-stage environment with evolving requirements, limited precedent, 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.
  • Candidates must be authorized to work for any U.S. employer without current or future visa sponsorship and must reside in an eligible U.S. state or Washington, DC.
Conditions
  • Estimated annual compensation range of $180,000–$225,000 USD, with final compensation determined by factors including experience, skills, education, location, and internal equity.
  • Potential eligibility for discretionary bonuses, commissions, or other incentive programs.
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Paid time off and additional employee benefits.
  • Opportunity to work within a small, growing team with substantial ownership and influence over product and engineering decisions.
  • Collaborative environment focused on solving meaningful business and technology challenges.
  • Exposure to modern AI-assisted engineering practices and complex enterprise data technologies.
  • Equal opportunity workplace committed to providing reasonable accommodations for qualified individuals with disabilities.
Стек и навыки

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