Factor Eleven31.01.26
AI SCORE 8.5

Senior Data Engineer - Remote Position at Factor Eleven

$90K–$130K/year

About the Role

Join Factor Eleven as a Senior Data Engineer and be part of our mission to advance digital localized advertisement. This Senior Data Engineer remote position offers you the opportunity to shape and scale our open lakehouse data platform built on Snowflake and Apache Iceberg. You will play a crucial role in designing robust, scalable data pipelines that power analytics and customer-facing features across our SaaS products.

What You'll Do

  • Design, build, and maintain scalable data pipelines and architectures with a focus on reliability and efficiency.
  • Implement ETL/ELT processes with rigorous quality checks to ensure data accuracy and consistency.
  • Mentor data engineers and foster a culture of learning and ownership.
  • Collaborate with Product and Engineering teams to translate requirements into impactful data solutions.
  • Champion testing, documentation, and observability through design reviews and technical leadership.

Requirements

  • 5+ years of experience in data engineering, specifically with Snowflake and Apache Iceberg.
  • Strong production proficiency in dbt, including complex models and CI/CD integration.
  • Advanced skills in SQL and Python for building idempotent, observable, schema-safe pipelines.
  • Deep understanding of data modeling trade-offs and big data frameworks.
  • Excellent communication skills for distilling complex topics for diverse audiences.

Nice to Have

  • Experience with DataOps, IaC, or real-time streaming pipelines.
  • Proven track record of building and maintaining a production-grade open lakehouse.

What We Offer

  • Fully remote work environment with flexible hours.
  • Collaborative team culture that values innovation and quality delivery.
  • Opportunities for professional growth and development.
  • Competitive salary and benefits package.
  • Access to cutting-edge technologies and tools in the AdTech industry.
Why This Job8.5 of 10

This Senior Data Engineer role offers the chance to work remotely while shaping a cutting-edge data platform in the AdTech industry. Enjoy a collaborative culture and competitive salary.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About Factor Eleven

Explore Factor Eleven careers in 2026 and discover exciting job openings in remote, hybrid, and office roles. Our platform offers tailored resume options, application tracking, and valuable company insights to enhance your job search experience. Stay informed on industry news and opportunities, and find the perfect position at Factor Eleven that aligns with your skills and aspirations. Start your journey today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in building and optimizing data pipelines using Snowflake and Apache Iceberg, with hands-on experience in DataOps practices to ensure smooth deployment and operational excellence.

Strong ability to work independently in a remote environment, demonstrating self-motivation and discipline while also being adaptable to collaborating with distributed teams using tools like Slack and Zoom.

Experience with SQL and Python for data transformation and analysis, coupled with a mindset focused on continuous improvement and learning new technologies such as Terraform for infrastructure as code.

Learning Resources

Getting Started with Snowflakeguide

Career Path

Senior Data Engineer(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Snowflake Market Size 2024
$9.6B
Annual Growth (2024-2025)
20.5%
AI Adoption in Data Engineering
45%
Investment in Snowflake Ecosystem
+150%
Labour Demand for Data Engineers
+22%
Avg Salary for Senior Data Engineer
$130K

Skills & Requirements

Required
SnowflakeApache Icebergdbt
Growing in Demand
Apache SparkData Lakehouse ArchitectureMachine Learning Integration
Declining
HadoopTraditional ETL Tools

Domain Trends

Rise of Data Lakehouse Architectures
The integration of data lakes and data warehouses is gaining traction, with 35% of organizations adopting lakehouse architectures by 2025.
Increased Focus on Real-Time Data Processing
Organizations are prioritizing real-time analytics, with 60% of companies investing in technologies like Apache Kafka to enhance data streaming capabilities.
Growing Importance of DataOps
DataOps practices are being implemented by 50% of enterprises to improve data pipeline efficiency and collaboration among teams, reflecting a shift towards agile methodologies in data management.

Industry News

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