Senior Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Spark, Distributed Computing, Performance Optimization, Databricks, Airflow, Glue, ETL, ELT, Data Validation, Big Data, Analytics, Machine Learning, Collaboration

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 highly skilled Senior Data Engineer to join a dynamic team developing next-generation B2B SaaS solutions for the financial services industry. The role involves designing, building, and maintaining scalable, reliable data pipelines while supporting advanced analytics and machine learning initiatives. You will work closely with product managers, engineers, and data scientists to deliver high-quality datasets and optimized data workflows. This position offers the opportunity to leverage cutting-edge technologies, contribute to best practices in data engineering, and influence solutions that drive real business impact. The ideal candidate thrives in collaborative, fast-paced environments and is motivated to continuously improve processes and systems. Accountabilities Design, implement, and maintain scalable, reliable data pipelines including ingestion, storage, validation, governance, monitoring, and ELT patterns. Develop and maintain ETL/ELT processes for large volumes of data, ensuring clean, efficient, and maintainable code. Collaborate with product managers, data scientists, and engineers to prepare datasets for analytics and ML applications. Identify opportunities to optimize pipeline operations, reduce manual work, and enhance performance. Conduct code reviews and promote data engineering best practices across the team. Stay current with emerging technologies and industry trends, continuously improving tools and workflows. Participate in Agile ceremonies and support a culture of high standards and continuous learning. Minimum 3+ years of professional experience in data engineering or related fields. Advanced proficiency in Python and SQL. Strong experience with Spark, distributed computing, and performance optimization. Familiarity with Databricks (Unity Catalog, Feature Store, Delta Live Tables) preferred. Experience with data pipeline and workflow orchestration tools (e.g., Airflow, Databricks, Glue). Solid understanding of ETL/ELT best practices, monitoring, observability, and data validation. Experience with big data, scaling data processing, and distributed computing environments. Strong analytical skills and ability to transform raw data into structured, high-quality datasets. Excellent verbal and written communication skills. Self-disciplined, eager to learn, and comfortable working in collaborative, fast-paced environments. Competitive salary with performance-based bonus. Flexible remote and hybrid working arrangements. Comprehensive health, financial, and lifestyle benefits. Generous annual leave, floating holidays, volunteering days, and birthday leave. Learning and development opportunities to support career growth. Collaborative and inclusive work environment with active DE&I programs. Employee Assistance Program providing counseling and expert advice on wellbeing, relationships, legal, and financial matters. Regular social events, networking opportunities, and team-building activities. 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 Senior Data Engineer will design, build, and maintain scalable data pipelines while supporting advanced analytics and machine learning initiatives. This role involves collaborating with product managers, engineers, and data scientists to deliver high-quality datasets and optimized data workflows.