Senior Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

176100.0

Posted On

03 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, AWS, Python, Relational Databases, Data Warehousing, Data Lakes, Master Data Management, Containerization, Kubernetes, Linux, BASH Scripting, Airflow, DBT, Machine Learning, Business Intelligence

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in the United States. As a Senior Data Engineer, you will play a pivotal role in designing, building, and maintaining scalable data pipelines and platforms that support data analytics, machine learning, and operational applications. You will collaborate closely with cross-functional teams, including software engineers, data scientists, ML engineers, and business intelligence teams, to deliver robust data solutions. This role offers the opportunity to work on both structured and unstructured data, ensuring high data quality, reliability, and performance at scale. Your work will enable better decision-making, improve product capabilities, and empower teams across the organization. You will also mentor and guide team members, influence architecture decisions, and contribute to the continuous improvement of data engineering best practices. Accountabilities: Design, develop, and maintain Extract, Transform, Load (ETL) pipelines and workflows. Operate, troubleshoot, and improve legacy data systems and pipelines. Collaborate with ML, BI, and data operations teams to support data-driven solutions. Implement scalable, robust AWS-based data architectures, ensuring reliability and security. Contribute to containerized and orchestrated environments using Docker and Kubernetes. Build and optimize data warehouses, data lakes, and master data management solutions. Support team growth by mentoring engineers, sharing knowledge, and promoting best practices. Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience). 7+ years of professional experience in data engineering or related roles. 4+ years of Python development experience. Hands-on experience with relational databases (PostgreSQL, MySQL) and columnar databases (Redshift, Snowflake). Strong understanding of data warehousing, data lakes, ETL industry standards, and master data management. Experience with AWS services such as Glue, Batch, RDS, EMR, EKS, Lambda, and Step Functions. Familiarity with containerization, Kubernetes, Linux, and BASH scripting. Experience with workflow and orchestration tools like Airflow and DBT. Preferred: prior exposure to analytics infrastructure, SaaS products, or real estate data domains. Competitive base salary ($140,000 – $176,100 annually) with additional profit-sharing and bonus programs. Comprehensive medical, dental, and vision coverage. 401(k) retirement plan with employer match. Paid time off, holidays, and wellness programs. Company-paid short-term disability coverage and supplemental insurance options. Virtual healthcare and mental health resources. Professional development resources for career growth. Inclusive, mission-driven environment where your work makes a measurable impact on real estate valuations. 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

Design, build, and maintain scalable data pipelines and platforms. Collaborate with cross-functional teams to deliver robust data solutions.