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Sr Data Engineer (Remote - US)

Jobgether
Full-time
On-site
remote

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.

Requirements

  • 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.

Benefits

  • 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!

 

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