Data Engineer (US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

165000.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Data Modeling, SQL, Python, Cloud Platforms, AWS, GCP, Workflow Orchestration, Prefect, Airflow, Data Transformation, dbt, Kafka, OLAP Platforms, Snowflake, Redshift

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. This role offers a unique opportunity to design, implement, and optimize robust data pipelines that power analytics and machine learning initiatives. You will work closely with software engineering, machine learning, and data analytics teams to ensure high-quality, reliable, and well-structured data flows throughout the organization. The position involves building upstream validation and transformation layers, designing scalable systems, and improving overall data reliability for reporting and ML pipelines. You will thrive in a fast-paced, high-growth environment where your solutions directly impact business outcomes, and you will have the autonomy to shape the future of the data architecture. Accountabilities Architect and develop scalable data pipelines and validation layers to ensure reliable, clean, and usable data. Ingest, normalize, and transform data from multiple 3rd-party payment providers and internal sources. Collaborate closely with ML engineers, software engineers, and data analysts to meet data requirements for analytics and machine learning initiatives. Design and implement transformation layers to optimize data for reporting products and ML models. Implement validation systems to detect anomalies, enforce data quality standards, and ensure consistency. Monitor, troubleshoot, and improve data workflows, ensuring data arrives on time and meets quality expectations. Contribute to system architecture and design to support long-term scalability and performance. 5+ years of experience delivering value through data at high-growth, early-stage startups (payments experience preferred). Strong experience with cloud platforms such as AWS or GCP. Expertise in data modeling, SQL, and Python for data engineering tasks. Experience with workflow orchestration tools (e.g., Prefect, Airflow, Dagster). Familiarity with distributed systems workflows (e.g., Temporal, AWS Step Functions). Experience with cloud OLAP platforms and optimization (Snowflake, Redshift, BigQuery). Knowledge of Kafka pub/sub patterns and data ingestion processes. Experience with data transformation frameworks such as dbt. Strong problem-solving skills, autonomy, and the ability to work effectively on a small, fast-moving team. Competitive salary: $145,000 – $165,000 per year (USD). Fully remote position with flexibility to manage your workflow. Opportunity to work on cutting-edge data engineering challenges in the payments industry. Collaborative, high-impact environment with professional growth opportunities. Inclusive culture focused on diversity and team contribution. 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 architect and develop scalable data pipelines and validation layers to ensure reliable, clean, and usable data. This role involves collaborating with various teams to meet data requirements for analytics and machine learning initiatives.