Senior Data Engineer, SQL

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $110k - $155k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Build and support non-interactive (batch, distributed) and real-time, highly available data pipelines • Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines • Provide consultation and lead the implementation of complex programs • Develop and maintain documentation for assigned systems and projects • Tune queries running over billions of rows of data in a distributed query engine • Perform root cause analysis to identify permanent resolutions to software or business process issues • Manage data between zones in Databricks • Collaborate within Valtech’s global framework to deliver digital and data transformation solutions

🎯 Requirements

• Strong background in data engineering, specifically within Databricks and Azure • Proficiency in SQL and Python • Comfortable with Spark, data management, cloud services, and automation tools • SQL Server (T-SQL, query-heavy, not ORM) • PostgreSQL (read-only, for the Cargotel replica) • Python + FastAPI • scikit-learn (percentiles, outlier detection) • Understanding of acceptance/likelihood models (carrier-accept-probability logic) • Kafka (consuming, not building) • Ability to read C# well enough to extract logic (not write it) • AWS basics: S3, RDS, Secrets Manager, CloudWatch • Terraform (read fluency) • Proven industry experience executing data engineering, analytics, and/or data science projects OR a Bachelor's/Master's degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science, or computation-intensive Sciences and Humanities • SQL Server and PostgreSQL listed as nice-to-have qualifications

🏖️ Benefits

• Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Learning and development, with access to cutting-edge tools, training and industry experts • Competitive compensation package • Reasonable accommodations during the interview process