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

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Platforms, BigQuery, Python, SQL, Data Pipelines, Data Quality, Performance Tuning, Big Data Solutions, Data Modeling, Apache Airflow, DevOps, CI/CD, Data Integration, Machine Learning, Analytics

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 in the United States. We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data infrastructure in a dynamic cloud environment. The role involves driving advanced analytics, business intelligence, and machine learning initiatives by creating efficient data pipelines and robust datasets. You will work closely with cross-functional teams to translate business requirements into technical solutions, while optimizing performance, ensuring data quality, and supporting both batch and real-time processing. The ideal candidate thrives in autonomous settings, navigates complex challenges, and contributes to high-impact projects that enable data-driven decision-making across the organization. Accountabilities Design, implement, and optimize well-structured analytical datasets to support reporting, analytics, and data science models. Architect, build, and maintain scalable, reliable data pipelines for diverse applications. Implement and support Big Data solutions for both scheduled batch processing and real-time/streaming analytics. Collaborate with product managers and business teams to understand data needs and translate them into technical solutions. Ensure data quality, performance tuning, and scalability of data solutions. Continuously improve data workflows, orchestration, and integration practices. Extensive hands-on experience with cloud platforms, particularly Google Cloud Platform (GCP). Expertise in BigQuery, including data ingestion, performance optimization, and data modeling at petabyte scale. Proficiency with other GCP services such as Cloud Storage, Cloud Dataflow/Beam, and Pub/Sub. Expert-level Python programming skills and familiarity with relevant data engineering libraries. Strong command of advanced SQL for querying, data processing, and performance tuning. Experience with data pipeline orchestration tools (e.g., Apache Airflow, Cloud Composer, Dagster). Knowledge of DevOps/CI/CD practices and version control systems (e.g., Git, GitLab, GitHub Actions). Ability to work independently, solve complex problems, and manage multiple priorities in a dynamic environment. Flexible remote work arrangement. Opportunity to work on high-impact projects supporting advanced analytics and machine learning initiatives. Professional growth through exposure to large-scale cloud and data engineering technologies. Collaborative and supportive work environment. Competitive compensation and benefits package. 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 infrastructure while driving advanced analytics and machine learning initiatives. Collaborate with cross-functional teams to translate business requirements into technical solutions and ensure data quality and performance.