Data Engineer II

Take the clearer route to smart career growth. At clearer.io , we’re reimagining eCommerce by enhancing search, discovery, and customer engagement through a standout suite of innovative apps. Our mission is straightforward yet powerful: to empower our partners with solutions that streamline their operations, foster customer trust, and drive sustainable growth. We’re not just about technology - we’re about making eCommerce smarter, simpler, and more impactful, delivering solutions that inspire confidence and create real results.

With fresh investment and rapid growth, this is the perfect time to join our journey. When you become part of clearer.io, you step into a role where your work truly matters. Here, you’ll have the opportunity to own your projects, drive outcomes, and make an impact within a supportive, diverse team of professionals dedicated to customer success. We value clarity, results, and a customer-centric approach that keeps us focused on delivering real value to our partners every step of the way.

If you’re ready to cut through the clutter and focus on what really matters in a dynamic eCommerce landscape, clearer.io is the place to grow, lead, and shape the future of online retail. Join us, and be part of a team that’s committed to making eCommerce clearer, more efficient, and more rewarding for everyone.

Your Impact:

As a Data Engineer II, you will lead the development of scalable and high-performance data pipelines, ensuring the efficient ingestion, transformation, and storage of large datasets. You will contribute to architectural decisions, optimize workflows, and implement best practices to enhance data reliability and accessibility. This role requires a strong technical foundation and problem-solving skills, with opportunities to mentor junior engineers and drive innovation in data engineering solutions.

• Architect and build scalable, high-performance ETL/ELT pipelines for large datasets.

• Design and implement real-time data processing solutions.

• Ensure data integrity, governance, and compliance with industry regulations.

• Optimize data storage and query performance in cloud-based environments.

• Automate data engineering workflows using Apache Airflow and CI/CD pipelines.

• Collaborate with cross-functional teams to enhance data accessibility and reliability.

• Bachelor’s degree in Computer Science, Engineering, or equivalent and 2-4 years of relevant experience is required. Alternatively, an equivalent combination of education and experience is required.

• Experience with e-commerce and with specific experience of Shopify a plus!

• Expertise in SQL and one programming language (Python, Java, or Scala).

• Strong experience with relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, DynamoDB).

• Hands-on experience in designing, developing big data solutions using Apache Spark (PySpark/Scala) and real-time streaming technologies like Kafka or Kinesis

• Experience with AWS cloud services (EMR, Glue, S3, Redshift) and Databricks for scalable data processing

• Hands-on experience in designing, orchestrating, and optimizing ETL/ELT pipelines using Apache Airflow

• Strong understanding of CI/CD for deploy workflows

• Experience working in Agile environments

• Strong problem-solving skills and ability to lead data initiatives.