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Design and develop scalable data solutions while collaborating with cross-functional teams. Build and maintain robust data pipelines and ensure data integrity and accessibility across systems.
A minimum of 4+ years of experience in delivering production-grade data solutions is required. Strong software engineering skills in Python and experience with JSON and relational databases are essential.
This position is posted by Jobgether on behalf of Perform. We are currently looking for a Senior Data Engineer in United States, Canada. This role offers the opportunity to design and deliver scalable, production-grade data solutions that directly drive business outcomes. As a Senior Data Engineer, you will collaborate with cross-functional teams to build robust, reusable pipelines and systems that ensure high performance, reliability, and maintainability. You will have a strong impact on how data is ingested, processed, and made accessible across the organization. The position allows you to leverage your software engineering expertise to implement modular designs and optimize workflows in a dynamic, fast-paced environment. You will contribute to best practices, mentor peers, and play a key role in shaping the team’s data engineering standards. This fully remote role offers flexibility while working with a collaborative, innovative, and technically driven team. Accountabilities: Design and develop modular, reusable core libraries to support scalable data solutions. Build and maintain robust data pipelines using Python for processing JSON and relational data. Collaborate with stakeholders to understand data requirements and deliver production-ready solutions. Optimize data workflows for performance, scalability, and reliability in production environments. Ensure data integrity, quality, and accessibility across systems and applications. Contribute to data engineering best practices through code reviews, documentation, and mentoring. Minimum of 4+ years of experience delivering production-grade data solutions. Strong software engineering skills with a focus on modular design and reusable code. Proficiency in Python for data processing and pipeline development. Extensive experience with JSON data and relational databases (e.g., SQL). Ability to architect efficient, scalable solutions for complex data challenges. Proven collaboration skills and experience working effectively with cross-functional teams. Familiarity with cloud platforms (AWS, Azure, GCP) and data orchestration tools (e.g., Apache Airflow) is a plus. Experience with Node.js and/or JavaScript for data-related applications is an asset. Fully remote work from the United States or Canada. Competitive salary and benefits package. Flexible working hours supporting work-life balance. Opportunities for professional development, mentorship, and career growth. Collaborative and innovative team culture focused on technical excellence. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1
This job posting was last updated on 9/5/2025