We are hiring: Data Engineer – 06-August-2026 US Remote

Hiring Organization: DataPipeline Systems

Client ID: 948QMTR

Job ID: 837LKPV

Role Overview

DataPipeline Systems is seeking a diligent, technically proficient, and highly motivated Data Engineer to join our remote-first engineering team. In this full-time role, you will be responsible for designing, building, and maintaining the infrastructure that powers our data-driven decision-making. We value clean code, scalable architecture, and robust data integrity. Whether you are an experienced data engineer or a talented fresher looking for a supportive environment to launch your career, we offer a mentorship-rich culture where your contributions will directly impact our data platform’s reliability and performance.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to ingest, transform, and store large-scale datasets.
• Manage cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes.
• Optimize ETL/ELT processes for efficiency, speed, and cost-effectiveness.
• Ensure data quality, integrity, and availability through rigorous monitoring and testing.
• Collaborate with data scientists and analysts to support their data requirements and infrastructure needs.
• Debug and resolve technical issues in data workflows, including failures in ingestion or transformation.
• Participate in peer code reviews and architectural planning to maintain high engineering standards.
• Contribute to the continuous improvement of internal CI/CD pipelines and deployment workflows.
• Research and implement new data engineering technologies to enhance system performance.
• Document data architecture, pipeline specifications, and technical workflows for long-term maintenance.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Strong proficiency in Python or Java and advanced SQL skills.
• Solid understanding of database management systems (SQL/NoSQL) and distributed computing.
• Experience with data processing frameworks (e.g., Apache Spark, Airflow, dbt).
• Familiarity with version control systems like Git.
• Excellent communication skills and the ability to work effectively in a remote, distributed team.
• A proactive, problem-solving mindset and a passion for creating reliable data infrastructure.
• Freshers with strong academic foundations in data systems or engineering projects are encouraged to apply; we provide extensive mentorship.
• Reliable high-speed internet connection for consistent, professional virtual collaboration.

Preferred Skills

• Experience with cloud platforms (AWS, GCP, Azure) and their data services.
• Knowledge of containerization (Docker, Kubernetes) for pipeline orchestration.
• Understanding of data modeling techniques (Star Schema, Data Vault).
• Experience with automated testing and monitoring for data pipelines.
• Familiarity with streaming data technologies (e.g., Kafka).

What We Offer

• Competitive Annual Salary: $192,650.
• 100% remote flexibility from any location in the United States.
• Comprehensive health, dental, and vision insurance packages.
• Retirement savings plan with company matching contributions.
• Generous Paid Time Off (PTO), including holidays and personal wellness days.
• Structured career development, mentorship, and support for professional certifications.
• A highly collaborative, inclusive, and mission-driven engineering culture.

Employment Details

Workplace Type: Remote

Location: United States (US)

Job Type: Full-Time

Employment Type: FULL_TIME

Employer Address: 800 DataWay, Suite 200, Austin, TX 78701

Freshers Can Apply: Yes

Standard Application Notice

DataPipeline Systems is an equal opportunity employer. We value diversity and are committed to creating an inclusive culture for all employees. All hiring decisions are based on merit, qualifications, and the business needs of the organization. Please submit your application using the form below.