Sr Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

48.12

Posted On

10 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud-Native, Data Pipelines, Azure Databricks, Azure Data Factory, Python, SQL, Spark, Terraform, Data Quality, Governance, Performance Optimization, Mentoring, Problem-Solving, Collaboration, Emerging Technologies

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Engineer in United States. This role offers an exciting opportunity to design, build, and optimize scalable, cloud-native data pipelines that directly support analytics and operational needs. The Sr Data Engineer will collaborate across teams to ensure high-quality data, governance, and performance, while driving innovation in data engineering practices. You will mentor peers, integrate emerging technologies, and contribute to the evolution of a modern data platform. This position provides a mix of technical ownership, strategic input, and hands-on execution in a collaborative and supportive environment, enabling impactful data-driven decisions. Accountabilities: Design, implement, and maintain cloud-native data pipelines and processes that align with business and analytics objectives. Collaborate with stakeholders and architects to integrate emerging technologies and evolve data platform capabilities. Optimize pipelines for performance, reliability, and maintainability, ensuring seamless data integration across systems. Establish automated testing frameworks and monitoring tools to maintain data accuracy and pipeline reliability. Conduct code reviews, debugging, and continuous improvement initiatives to ensure compliance with technical and business standards. Mentor junior team members and actively share knowledge across cross-functional teams. Lead proof-of-concept initiatives and contribute to platform strategy and technical innovation. Master’s Degree in Healthcare Data Science or similar with 3-5 years of experience in data engineering or Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, Data Science, or similar with 5-7 years of experience. Hands-on experience with cloud-native data engineering, distributed systems, and modern data architecture. Proficiency with Azure Databricks, Azure Data Factory, Python, SQL, Spark, and Terraform. Strong understanding of data quality, governance, and performance optimization. Experience integrating emerging technologies into existing platforms. Ability to mentor and guide team members while driving technical innovation. Excellent analytical, problem-solving, and communication skills. Preferred: experience in healthcare or related data domains, and familiarity with hybrid cloud environments. Market-competitive pay with hourly rate starting at $48.12/hr (based on education and experience). Intermittent remote work with hybrid schedule, supporting both on-site and at-home work. Comprehensive healthcare, dental, and vision coverage. Paid Time Off (PTO) and wellness leave. Retirement savings plans. Professional development opportunities, including training and certifications. Inclusive, diverse, and supportive workplace culture emphasizing mentorship and collaboration. 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, the top 3 candidates with the highest match are automatically shortlisted. 🧠 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 shortlisted, your profile is shared with the hiring company, who will manage interviews and next steps. Thank you for your interest! #LI-CL1

Responsibilities

The Sr Data Engineer will design, implement, and maintain cloud-native data pipelines that support analytics and operational needs. This role involves collaboration across teams to ensure high-quality data and performance while driving innovation in data engineering practices.