Remote ETL Developer Job Opening

Join a Mission-Driven Team Shaping the Future of Data

Are you passionate about transforming raw data into meaningful insights that drive real-world decisions? Do you excel in developing data pipelines and orchestrating seamless data flows across platforms? This is your opportunity to step into a pivotal Remote ETL Developer role where your skills will directly support business growth, data accuracy, and strategic innovation.

This remote opportunity offers the flexibility of working from anywhere while deeply embedded in high-impact projects. You'll collaborate with cross-functional teams, drive improvements in data accessibility, and help lay the foundation for scalable business intelligence.

Why This Role Matters

As a Remote ETL Developer, you won’t just write code or manage pipelines—you'll empower our organization with timely, accurate, and actionable data. Your work will support crucial business operations such as data-driven strategy development, real-time reporting, and predictive analytics. You'll play a key role in delivering clean and structured data to our analysts, engineers, and leadership, fueling better decision-making across the company.

Key Responsibilities

Develop and Optimize ETL Workflows

• Design, build, and maintain efficient Extract, Transform, Load (ETL) processes using industry-standard tools and frameworks.
• Create robust workflows to move large volumes of structured and unstructured data across systems.
• Continuously optimize data pipelines for speed, scalability, and resilience.

Ensure Data Quality and Consistency

• Apply rigorous data validation and transformation logic to ensure integrity and reliability.
• Implement logging, monitoring, and alerting mechanisms to ensure proactive issue resolution.

Collaborate Across Functions

• Work closely with data analysts, engineers, and DevOps teams to align data workflows with business needs.
• Act as a data translator between engineering and business units to ensure shared understanding.

Document and Maintain ETL Architecture

• Maintain detailed documentation for ETL processes, metadata, and data dictionaries.
• Ensure all data flow diagrams and technical specifications are current and accessible.

Troubleshoot and Improve

• Investigate and resolve performance bottlenecks or data discrepancies.
• Research and recommend new technologies or methodologies to enhance system efficiency.

Work Environment: Autonomy with Purpose

You’ll be part of a dynamic remote team where trust, initiative, and communication are key. We provide a culture that fosters independence while supporting team synergy through daily standups, sprint planning, and regular feedback loops. As a Remote ETL Developer, your voice matters, and your expertise will help shape our evolving data architecture.

Expect a structured yet agile environment where you'll be encouraged to experiment, take ownership of projects, and continuously learn. This isn’t just a job—it's a chance to advance professionally while contributing meaningfully to the company’s long-term data strategy.

Tools & Technologies You Will Use

• ETL Tools: Talend, Apache NiFi, Informatica, or custom Python-based pipelines
• Data Platforms: Snowflake, Redshift, BigQuery, and PostgreSQL
• Cloud Infrastructure: AWS (Lambda, S3, Glue), Azure Data Factory, or Google Cloud
• Scripting Languages: Python, SQL, Shell scripting
• Monitoring: Datadog, Airflow, or custom dashboards

We're looking for someone who is both tool-savvy and curious, constantly exploring how automation and clean architecture can accelerate insights delivery.

Qualifications & Experience

Required Skills

• 3+ years of experience designing and implementing ETL solutions in a remote or hybrid environment
• Proficiency in SQL for data transformation and extraction
• Strong programming background in Python, Java, or Scala
• Familiarity with cloud-native ETL tools and data lakes
• A deep understanding of relational and non-relational databases
• Strong attention to detail, particularly in managing data consistency and performance optimization

Preferred Qualifications

• Experience working in remote teams across time zones
• Exposure to modern data warehouse solutions like Snowflake or BigQuery
• Prior work with containerization tools (Docker, Kubernetes)
• Understanding of data governance, lineage, and compliance standards

Your Growth Path

We believe that career development is a journey, not a destination. In this role, you'll hone your technical craft and gain exposure to architectural planning, stakeholder communication, and leadership tracks.

Opportunities for advancement include:

• Transitioning to a Lead Data Engineer or Data Architect role
• Contributing to enterprise-wide data platform design
• Mentoring junior developers and expanding your leadership skills

We invest in your growth through:

• Paid certifications and technical training
• Access to exclusive conferences and tech seminars
• Regular one-on-one career development sessions

Compensation

Annual Salary: $119,346

This competitive salary reflects our commitment to attracting and retaining top-tier talent in data engineering. Our value proposition includes performance bonuses, comprehensive benefits, and remote work flexibility.

What Success Looks Like

In your first 90 days, you'll have:

• Built or significantly improved at least one production-grade ETL pipeline
• Participated in multiple code reviews and design discussions
• Collaborated with analysts to provide data required for decision-making
• Proposed enhancements to our existing data ingestion process

Long-term success involves not just excellent technical execution, but also being a collaborative team player who contributes ideas, mentors peers, and stays current with trends in data processing and analytics.

Ready to Apply? Here’s Your Next Step

This is your moment if you’re eager to contribute to a future-focused organization that values data integrity, team collaboration, and professional growth. We're looking for innovators ready to build, scale, and drive change.

Leap into a career where your technical expertise is appreciated and expanded. Apply now and help us turn raw data into transformative decisions—one pipeline at a time.