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Data Engineer

Wearehaystack — United States · Posted ~3 hours ago

Senior

Skills

Data engineering Large-scale data systems Data warehouses ETL pipelines SQL Database design Data modeling Data warehousing Python Java Scala Data quality Data governance Data security AI/ML integration ETL AI/ML

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Summary ✨ AI‑Generated

Design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML-enabled data systems. You will ingest and transform data from diverse sources, maintain data quality and governance, and optimize platforms for performance, scalability, and reliability. The role requires collaboration with stakeholders to translate data requirements into effective solutions and includes integrating AI/ML models into data pipelines and warehouses. A bachelor's or master's degree in a relevant field or equivalent experience is expected, together with 6+ years of data engineering experience and strong programming, SQL, database design, modeling, and warehousing skills.

Highlights

Build and optimize large-scale data warehouses and ETL pipelines while integrating AI and machine learning capabilities. The role combines hands-on engineering with data quality, governance, security, scalability, and performance responsibilities, offering opportunities to deliver data solutions directly aligned with business and analytical needs.

Description

We're hiring on behalf of a Haystack partner! The Role • Design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models. • Ingest, transform, and load data from various sources into data warehouses. • Ensure data quality, integrity, and security through validation, cleansing, and governance policies. • Optimize data systems for performance, scalability, and reliability. • Collaborate with stakeholders to understand data requirements and deliver effective data solutions. • Integrate AI/ML models with data pipelines and warehouses for predictive analytics. What You'll Need • Bachelor's or Master's degree in Computer Science or a related field, or equivalent work experience. • 6+ years of experience in data engineering, with a focus on large-scale data systems. • Proficiency in programming languages such as Python, Java, or Scala. • Strong experience with SQL, database design, data modeling, and data warehousing concepts. • Hands-on experience building ETL pipelines using cloud-based services and frameworks. • Experience with data storage solutions including relational, NoSQL, and cloud data warehouses. What's On Offer • Competitive annual salary ($79,370 – $134,929) plus bonus potential. • Comprehensive health, dental, and vision insurance. • 401(k) savings plan with company match. • Generous paid time off and holiday leave. Apply via Haystack today!