Data Engineer - Databricks at Jobgether

, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

130000.0

Posted On

21 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, PySpark, AWS, Databricks, Python, SQL, Technical Leadership, Data Architecture, Pipeline Design, Enterprise-Scale Data Management, Mentoring, Collaboration, Troubleshooting, Optimization, Communication, Code Quality

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer - Databricks in Georgia (USA). This role provides the opportunity to lead and shape enterprise-scale data engineering initiatives in a fully remote, collaborative environment. The Data Engineer will design and implement scalable data pipelines using PySpark, AWS, and Databricks, working closely with cross-functional teams to solve complex data challenges. You will also mentor engineers, drive best practices, and ensure high-quality, reliable data solutions. This position is ideal for a seasoned professional who enjoys technical leadership, innovation, and working with large datasets that support critical business outcomes. Accountabilities: Lead the technical direction for data engineering projects and initiatives. Design, develop, and maintain scalable, secure, and efficient data pipelines and architectures using PySpark, AWS, and Databricks. Mentor and guide a team of engineers, promoting best practices and high code quality. Collaborate with product, engineering, and data stakeholders to address enterprise-scale data challenges. Analyze, optimize, and troubleshoot complex data workflows to ensure performance and reliability. 10+ years of experience in data engineering or related roles. Hands-on expertise with Python, SQL, PySpark, AWS, and Databricks. Proven experience leading technical teams or projects, with strong leadership and communication skills. Deep understanding of data architecture, pipeline design, and enterprise-scale data management. Fluent in English, both spoken and written. Ability to work remotely with a dedicated home office setup. Competitive annual salary range of $65,000 – $130,000 based on experience and qualifications. Fully remote work with flexible hours. Health insurance (medical and dental) for eligible employees. 401(k) contribution plan. Professional development fund for skill growth and training. 15 days of paid time off annually. Access to soft-skill development courses to support career advancement. 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 three 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

Responsibilities

The Data Engineer will lead the technical direction for data engineering projects, designing and implementing scalable data pipelines. They will also mentor engineers and collaborate with cross-functional teams to solve complex data challenges.