Senior Data Engineer (Remote) at Jobgether

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

220000.0

Posted On

20 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, ETL Workflows, SQL, Python, dbt, Cloud Platforms, Data Modeling, Schema Design, Data Quality, CI/CD, Automated Testing, Monitoring, Data Observability, Collaboration, Problem-Solving

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 New York (USA). As a Senior Data Engineer, you will be instrumental in building scalable, reliable, and high-quality data systems that empower teams to make informed decisions. You will work closely with analytics, product, and engineering teams to design and implement data pipelines and workflows that drive real business impact. This role offers the opportunity to work on diverse data sources, cloud platforms, and ETL frameworks while optimizing performance, cost, and reliability. You will contribute to data observability, automated testing, and CI/CD processes, ensuring trust in data systems. The position emphasizes collaboration, problem-solving, and innovative approaches to data engineering challenges. Your work will directly influence the efficiency, quality, and intelligence of data-driven decision-making. Accountabilities: • Design, build, and maintain robust, scalable data pipelines and ETL workflows. • Ingest data from diverse sources, including APIs, databases, SaaS applications, and event streams. • Implement data transformations using dbt or similar tools for reliable, testable, and maintainable pipelines. • Develop and maintain data models, schema design, and ensure data quality best practices. • Collaborate with cross-functional teams to deliver actionable insights and data products. • Implement CI/CD, automated testing, monitoring, alerting, and incident response for production data systems. • Optimize performance and cost of data workflows and storage across cloud platforms. • Leverage automation and AI to create self-service tools and intelligent pipelines that streamline repetitive tasks. • 8+ years of professional experience in data engineering with a focus on scalable pipelines and data products. • Strong proficiency in SQL and Python. • Hands-on experience with dbt or equivalent ETL tools in production environments. • Practical knowledge of cloud data platforms such as Snowflake, Redshift, BigQuery, or Databricks. • Experience with CI/CD pipelines, automated testing, monitoring, and data observability. • Strong foundation in data modeling, schema design, and data quality practices. • Problem-solving mindset and ability to work collaboratively in cross-functional teams. • Excellent communication and collaboration skills, emphasizing clarity, empathy, and shared ownership. • Understanding of AI and automation applications in data engineering is a plus. • Competitive salary ranging from $190,000–$220,000 USD (New York), adjusted based on experience and expertise. • Equity opportunities and performance-based incentives. • Health, dental, and vision insurance with flexible spending accounts. • 401(k) retirement plan with company contributions. • Paid parental leave and flexible paid time off. • Employee wellness programs and professional development stipends. • Hybrid work model with secure remote options and designated office days. • Inclusive and diverse workplace culture, supporting growth and collaboration. 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

Design, build, and maintain robust, scalable data pipelines and ETL workflows while collaborating with cross-functional teams. Your work will directly influence the efficiency, quality, and intelligence of data-driven decision-making.