Data Engineer

We're hiring on behalf of a Haystack partner!

• The Role
• • Design, build, and deliver cloud-native, service-oriented products to transform data ingestion, processing, and analytics capabilities.
• • Develop and own reusable data platform capabilities, ingestion frameworks, and data products.
• • Design and operate highly reliable data pipelines with robust monitoring, observability, testing, and recovery mechanisms.
• • Architect and maintain integrations between source systems and cloud-native platforms.
• • Develop scalable, well-modeled data transformation pipelines to enable analytical and AI-driven capabilities.
• • Establish and enforce data engineering best practices, including CI/CD for data, testing standards, and code review norms.

• What You'll Need
• • 5-7 years of software development experience in the data domain.
• • Hands-on proficiency in Python and advanced SQL.
• • Experience with cloud platforms such as Azure and/or AWS.
• • Expertise in ELT processes, cloud-native ingestion/orchestration, and building transformation pipelines (e.g., dbt).
• • Experience with data modeling and transformation frameworks.
• • Proficiency with data warehousing platforms like Snowflake or Databricks.
• • Experience with CI/CD pipelines and Infrastructure as Code.

• What's On Offer
• • Competitive annual salary of $100,000 - $130,000.
• • Comprehensive benefit programs including medical, dental, and vision.
• • Opportunities for professional growth and development.
• • A collaborative and innovative work environment.

Apply via Haystack today!