Data Engineer (Sr/Staff Software Engineer) (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer (Sr/Staff Software Engineer) in the United States.

This role offers the opportunity to lead the design and implementation of scalable data solutions that power real-time analytics, machine learning, and business intelligence. You will work hands-on with modern data platforms, ETL pipelines, data streaming, and lakehouse architectures to transform raw data into actionable insights. Operating in a fast-paced, collaborative environment, you will partner with data scientists, analysts, and engineers to deliver reliable, secure, and high-performance data workflows. This position emphasizes innovation, efficiency, and the adoption of best practices in data engineering, allowing you to have a direct impact on enterprise-wide data initiatives. Ideal candidates are technically proficient, proactive problem-solvers, and thrive in dynamic, cross-functional teams.

Accountabilities:

As a Data Engineer in this role, you will be responsible for:

• Designing and implementing real-time and batch data streaming solutions to efficiently process high-volume data.
• Developing, maintaining, and optimizing ETL pipelines, data workflows, and data orchestration processes.
• Building and managing large-scale data warehouses and certified datasets to support analytics, machine learning, and business intelligence needs.
• Collaborating with data scientists, analysts, and stakeholders to understand data requirements and deliver effective solutions.
• Monitoring, troubleshooting, and improving data pipelines to ensure reliability, scalability, and performance.
• Ensuring data security, compliance, and adherence to industry standards and regulations.
• Writing well-documented, efficient, and tested code for data solutions and production deployment.
• Staying current with emerging trends in data engineering, cloud technologies, and machine learning infrastructure.

Requirements

The ideal candidate will have:

• Minimum 5 years of experience in software engineering, data engineering, or database management.
• Strong programming skills in Python, SQL, and Java.
• Hands-on experience with ETL processes, data pipelines, and cloud-based data platforms.
• Familiarity with modern data lakehouse technologies (Apache Iceberg, Delta Lake, Apache Trino) and database systems (SQL/NoSQL).
• Experience with data streaming frameworks such as Apache Kafka, AWS Kinesis, Apache Flink, or Apache Spark.
• Knowledge of DevSecOps practices and tools like Jenkins and GitHub.
• Strong problem-solving, analytical, and communication skills with the ability to collaborate effectively across teams.
• Intellectual curiosity and adaptability to learn new technical concepts and technologies quickly.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Experience in high-tech, transportation, logistics, or supply chain industries.
• Familiarity with Agile frameworks (Scrum, Kanban, SAFe).
• Proficiency with Jupyter notebooks and open-source data engineering tools.
• Knowledge of geospatial data transformation and spatial libraries.

Benefits

This position offers:

• Competitive salary range: $165,000 - $300,000, depending on skills, experience, and location.
• Comprehensive health, dental, vision, and telemedicine coverage for employees and dependents.
• 401(k) and Railroad Retirement programs with employer contributions.
• Life and disability insurance, HSA with employer contributions, and flexible spending accounts.
• Generous leave policies including parental, pediatric, and family-building support.
• Access to wellness programs, counseling services, discounts on travel, gym memberships, and more.
• Annual incentive bonus program.
• Remote work flexibility with occasional travel to corporate headquarters (travel expenses covered).

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!