Senior Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

176100.0

Posted On

31 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, Python, AWS, Glue, Batch, RDS, EMR, EKS, Lambda, Step Functions, Docker, Kubernetes, Airflow, DBT, PostgreSQL, MySQL

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. We are seeking a talented Senior Data Engineer to help design, build, and maintain scalable data products that drive impactful decisions. In this role, you will work closely with cross-functional teams, including software engineers, data scientists, and ML engineers, to deliver high-quality, reliable data pipelines and solutions. You will help leverage structured and unstructured data to create actionable insights and support advanced analytics and machine learning initiatives. The ideal candidate thrives in a collaborative environment, anticipates the needs of others, and is committed to improving data processes while mentoring peers. This position provides the opportunity to shape the data architecture and influence how data informs strategic decision-making across the organization. Accountabilities Design, develop, and maintain robust Extract, Transform, Load (ETL) pipelines. Operate, improve, and optimize legacy data pipelines supporting existing business operations. Collaborate with Machine Learning, Business Intelligence, and Property Data Operations teams to deliver data-driven solutions. Implement best practices for data architecture, storage, and retrieval across data warehouses and data lakes. Ensure data quality, security, and accessibility for downstream analytics and ML applications. Document pipelines, processes, and data workflows to support knowledge sharing and team scalability. Bachelor’s degree in Information Technology, Computer Science, or equivalent experience with 7+ years in data engineering. 4+ years of experience developing in Python. Strong understanding of data warehouses, data lakes, and master data management principles. Hands-on experience with AWS services, including Glue, Batch, RDS, EMR, EKS, Lambda, and Step Functions. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with Airflow, DBT, and ETL industry standards. Proficiency in relational databases (PostgreSQL, MySQL) and columnar databases (Redshift, Snowflake). Strong Linux knowledge, including BASH scripting. Ability to collaborate effectively across cross-functional teams and anticipate stakeholder needs. Competitive salary range: $140,000–$176,100 annually, plus profit-sharing bonuses, communication stipends, and referral bonuses. Comprehensive health, dental, and vision insurance. 401(k) retirement plan with employer match. Voluntary life and AD&D insurance options, supplemental accident and critical illness coverage. Paid time off (PTO) and holidays, short-term disability coverage, and health savings account contributions. Access to virtual primary care and mental health resources. Career development and skill growth resources. Mission-driven environment where work impacts real estate decisions and communities. Recognition programs celebrating tenure and achievements. 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 offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, develop, and maintain robust ETL pipelines while collaborating with cross-functional teams to deliver data-driven solutions. Ensure data quality, security, and accessibility for downstream analytics and machine learning applications.