We are hiring: ETL Developer – 06-August-2026 US Remote

Hiring Organization: DataFlow Systems

Client ID: 948QMLP

Job ID: 837LKPV

Role Overview

DataFlow Systems is seeking a diligent, technically proficient, and highly motivated ETL Developer to join our remote-first data engineering team. In this full-time role, you will be the backbone of our data operations, responsible for designing, building, and maintaining the infrastructure that extracts, transforms, and loads data into our centralized data platforms. We value clean code, scalable architecture, and robust data integrity. Whether you are an experienced developer or a talented fresher looking for a supportive environment to build 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 ETL/ELT pipelines to ingest, transform, and store large-scale datasets.
• Manage cloud-based data warehouse integrations (e.g., Snowflake, BigQuery, Redshift).
• Optimize transformation logic for efficiency, speed, and cost-effectiveness.
• Ensure data quality, integrity, and availability through rigorous monitoring and automated testing.
• Collaborate with data analysts and business stakeholders to support their data 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 SQL and at least one programming language (Python or Java).
• Solid understanding of database management systems (SQL/NoSQL) and distributed computing concepts.
• Experience with modern data processing frameworks (e.g., Apache Airflow, dbt, Informatica).
• 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 native 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: $178,450.
• 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: 500 FlowWay, Suite 300, Denver, CO 80202

Freshers Can Apply: Yes

Standard Application Notice

DataFlow 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.