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Jobgether

via Workable

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Data Engineer II (Remote - US)

Anywhere
full-time
Posted 9/30/2025
Direct Apply
Key Skills:
Data Engineering
ETL Pipelines
Data Integration
Python
PySpark
Spark
Hive
Hadoop
Cloud-Based Solutions
Problem-Solving
Mentoring
Collaboration
Documentation
Continuous Improvement
Data Analysis
Testing

Compensation

Salary Range

$127K - 156K a year

Responsibilities

The Data Engineer II will design, develop, and maintain ETL pipelines and data integration solutions while collaborating with internal teams and external partners. This role also includes mentoring junior engineers and contributing to the continuous improvement of data processes.

Requirements

Candidates should have a Bachelor's or Master's degree in a related technical discipline and a minimum of 3 years of software development experience on secure, cloud-based platforms. Strong programming skills in Python or similar languages and proficiency with big data technologies are essential.

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer II in the United States. This role offers the opportunity to design, develop, and optimize data pipelines and architecture within a dynamic, cloud-based environment. The Data Engineer II will work closely with internal teams and external partners to integrate, process, and analyze data from multiple sources, delivering actionable insights that support critical business decisions. This position also includes mentoring junior engineers, contributing to strategic planning, and ensuring high-quality, maintainable solutions. The ideal candidate thrives in a collaborative, fast-paced environment, enjoys problem-solving, and is passionate about continuous improvement in data engineering practices. You will play a key role in driving data-driven innovation and supporting scalable, secure solutions. Accountabilities Design, develop, and maintain ETL pipelines, data integration, and processing solutions. Analyze, model, and optimize complex datasets from internal and external sources. Implement auditing, error handling, query development, and testing for production-level code. Work with Azure components, including data functions and Synapse, to enhance data architecture. Mentor and guide junior engineers, fostering both technical and professional development. Collaborate with IT and cross-functional teams to translate requirements into high-quality solutions. Contribute to documentation, system design, and continuous improvement of data processes. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical discipline. Minimum of 3 years of software development experience on secure, cloud-based platforms. Strong programming skills in Python, PySpark, or similar scientific computing languages. Experience building production-level data pipelines, real-time applications, and automated testing. Proficiency with big data technologies such as Spark, Hive, and Hadoop. Excellent problem-solving skills, attention to detail, and strong communication abilities. Proven ability to deliver maintainable solutions and work effectively within a team. Competitive annual salary: $127,315 – $155,608. Flexible work environment and remote opportunities within the US. Comprehensive health, dental, and vision insurance coverage. Paid time off (PTO) and holiday benefits. Career development resources and opportunities for growth. Collaborative and innovative work culture emphasizing continuous learning. 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

This job posting was last updated on 10/1/2025

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