Staff Data Integrations Engineer - Connex Integration at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

175000.0

Posted On

06 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Snowflake, SQL, Python, AWS Lambda, AWS API Gateway, API Architecture, Cloud Computing, TDD, DevOps, Metadata Management, System Optimization, Technical Documentation, Agile Development, Mentoring, Analytical Thinking

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Integrations Engineer - Connex Integration based in the United States. As a Staff Data Integrations Engineer, you will play a critical role in designing and evolving large-scale data integration solutions that power business-critical operations. This position offers the opportunity to work on highly scalable, configuration-driven platforms while collaborating with talented engineers, product leaders, and stakeholders across the organization. You will contribute to architecture decisions, optimize system performance, and drive automation initiatives that improve reliability and efficiency. The role is ideal for someone who thrives in fast-paced environments, enjoys solving complex technical challenges, and is passionate about building robust data solutions. Working with modern cloud technologies and data platforms, you will help shape the future of enterprise-grade integrations while mentoring others and promoting engineering excellence. Your contributions will have a direct impact on product innovation, operational scalability, and customer success. \n Accountabilities: Design, develop, and enhance scalable data integration solutions capable of supporting complex and rapidly evolving business requirements. Create and maintain technical documentation, including architecture decision records (ADRs), RFCs, and other artifacts that support informed decision-making and long-term maintainability. Lead initiatives focused on system performance optimization, scalability improvements, and operational cost management. Build and maintain automated monitoring, alerting, and remediation processes to ensure high system reliability and rapid issue resolution. Provide advanced technical troubleshooting and support for complex integration challenges and production issues. Collaborate closely with engineering, product management, and leadership teams to deliver iterative improvements and scalable platform capabilities. Drive adoption of engineering best practices, including test-driven development (TDD), continuous integration, automation, and DevOps methodologies. Contribute to the design and implementation of secure, scalable APIs and metadata-driven integration frameworks. Support agile development processes by defining work scopes, prioritizing initiatives, and continuously improving delivery effectiveness. Requirements 7+ years of experience developing complex data integration platforms and enterprise-scale data solutions. At least 2 years of hands-on experience working with Snowflake in production environments. Strong expertise in designing and optimizing database systems, API architectures, and auto-scaling cloud environments. Experience building highly automated deployment, testing, and operational processes that improve system stability and reduce manual intervention. Proven ability to develop configuration-driven software solutions and manage metadata effectively. Experience designing, implementing, and securing public-facing APIs with a focus on scalability and performance. Proficiency with modern cloud and data technologies such as Snowflake, SQL, Python, AWS Lambda, and AWS API Gateway is highly desirable. Strong analytical thinking, problem-solving capabilities, and attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively across technical and non-technical teams. Experience mentoring engineers, contributing to technical leadership, and fostering knowledge sharing within teams. Solid understanding of data structures, algorithms, and enterprise software development principles. Ability to manage multiple priorities in a fast-paced environment while maintaining a strong focus on quality and business impact. Benefits Competitive compensation package with a base salary range of $150,000–$175,000 annually. Estimated total cash compensation range of $161,250–$188,125, including variable pay opportunities. Flexible paid time off policy. Paid company holidays. Comprehensive medical, dental, and vision coverage with FSA, HSA, and HRA options. Basic and voluntary life insurance plans. 401(k) retirement plan with employer matching contributions. Wellness and fitness reimbursement programs. Commuter benefits. 10 weeks of paid parental leave. Annual team off-sites and company-sponsored events. Learning and development budget to support professional growth. Opportunity to work alongside a mission-driven team with a strong and collaborative culture. High-impact role with significant ownership and influence on product and platform evolution. Flexible remote work environment within the United States. \n How Jobgether works: 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! Why Apply Through Jobgether? 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

Responsibilities

Design and evolve large-scale, configuration-driven data integration solutions to support business-critical operations. Lead system performance optimization, automation initiatives, and the implementation of secure, scalable APIs.