About the Role:
We are looking for a talented and forward-thinking Data Engineer to join our growing data platform team. As a Forward Data Engineer, you’ll be responsible for designing and building cutting-edge data pipelines and systems that power real-time analytics, machine learning, and decision intelligence at scale.
Your work will be foundational to how we manage and transform data, ensuring high performance, reliability, and innovation across our data infrastructure. If you’re excited about building robust, scalable systems using the latest cloud-native tools and want to work at the forefront of data technology, this is the role for you.
Key Responsibilities:
- Design, build, and optimize scalable data pipelines (batch and real-time) for analytics and ML use cases
- Work closely with analytics, data science, and product teams to deliver clean, high-quality, and well-modeled data
- Develop and maintain cloud-based data infrastructure (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Create robust and reusable data transformations using tools like dbt, Spark, or Apache Beam
- Ensure data quality, monitoring, and observability across all critical data flows
- Contribute to infrastructure-as-code practices and CI/CD pipelines for data systems
- Champion best practices in data governance, cataloging, lineage, and security
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
- 3–6+ years of hands-on experience in data engineering roles
- Strong SQL and Python skills, with experience in data pipeline frameworks (e.g., Airflow, dbt, Dagster)
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data stacks
- Solid understanding of data modeling, warehousing concepts, and distributed data processing
- Familiarity with tools like Kafka, Spark, or Flink for real-time data applications
Preferred Qualifications:
- Experience with streaming architecture and event-driven systems
- Knowledge of data observability tools (e.g., Monte Carlo, Great Expectations)
- Exposure to MLOps or ML feature engineering pipelines
- A mindset for automation, scalability, and continuous improvement
What We Offer:
- A dynamic, mission-driven team working on high-impact data systems
- Competitive salary, equity packages, and performance bonuses
- Remote flexibility and global collaboration opportunities
- A modern data tech stack and commitment to continuous learning
- Professional development budget, mentorship, and growth opportunities
How to Apply:
📩 Submit your resume, GitHub/portfolio link (if applicable), and a short note of interest to: careers@yourcompany.com
Subject: Application – Forward Data Engineer – [Your Name]
🗓 Applications are reviewed on a rolling basis