Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

199584.0

Posted On

06 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, SQL, Python, Data Modeling, Metadata Management, Data Quality, Workflow Orchestrators, BI Tools, Cloud Infrastructure, Collaboration, Communication, Data Governance, Data Products, Version Control

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. The Data Engineer will design, build, and maintain robust data infrastructure that enables accurate, reliable, and scalable insights across the organization. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver curated datasets and internal data products that drive strategic decisions. This role emphasizes both technical expertise and cross-functional communication, ensuring that data flows seamlessly from source to analysis while supporting long-term data strategy. You will have the opportunity to shape best practices for data modeling, pipelines, and governance, contributing to a data-driven culture that empowers the business to make smarter, faster decisions. Accountabilities Design, implement, and maintain ETL/ELT pipelines and data workflows to ensure timely, reliable, and scalable data delivery. Collaborate with analysts, scientists, and business teams to produce curated datasets and reusable internal data products. Apply best practices in schema design, data modeling, and metadata management. Own and evolve internal data infrastructure with a focus on quality, monitoring, and discoverability. Partner with software engineering teams to ensure application data is clean, structured, and usable across pipelines. Implement data quality frameworks, monitoring practices, and documentation standards. 2+ years of professional experience in data engineering or hands-on experience building and maintaining production-grade data infrastructure. Proficiency in SQL (MySQL, PostgreSQL) and Python, with experience in relational and non-relational databases. Experience with ELT/transformation frameworks (e.g., dbt) and workflow orchestrators (e.g., Airflow, Dagster). Experience building internal data products, semantic layers, or reusable modeling frameworks. Familiarity with standard software development practices applied to data engineering: testing, version control, code reviews, CI/CD, and observability. Preferred: experience with BI tools (Tableau, Looker, Hex), streaming/event-driven frameworks (Kafka, Kinesis, Pub/Sub), and cloud infrastructure (AWS, GCP, Azure). Strong collaboration and communication skills to engage effectively with cross-functional teams and non-technical stakeholders. Competitive base pay (Zone 1: $133,056–$199,584; Zone 2: $121,000–$181,400) and potential for equity/RSUs. Comprehensive healthcare, dental, and vision coverage, plus wellness programs. Flexible Paid Time Off, parental leave, and ten paid holidays. 401(k) plan with company match. High-quality equipment and technology to support productivity. Learning and development programs to grow technical and professional skills. Opportunities to contribute to corporate social responsibility and DEI initiatives. Remote work flexibility with office options available in select locations. 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 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 design, build, and maintain robust data infrastructure for accurate and scalable insights. This role involves collaborating with analysts and stakeholders to deliver curated datasets and internal data products.