About the roleAt Squery, we treat Data Engineering the same way we treat all our challenges — by building smart, scalable, and impactful solutions. Our Data Engineers are critical to our mission: they design and build the pipelines and platforms that power modern analytics and machine learning. If you love solving real-world data challenges and want to work across industries to create elegant solutions, this role is for you.
What you'll be doingCollaborating with analysts, data scientists, and business stakeholders to understand data needsBuilding robust, scalable data pipelines using Python and modern cloud toolingWorking with Snowflake, Databricks, and other cloud data platforms to design clean data architectureImplementing best practices in data modeling, data quality, and performance tuningHelping our clients and partners make the most of their data by enabling fast, reliable access What you'll need2+ years of experience as a Data EngineerStrong Python programming skillsHands-on experience with Databricks or other cloud-native big data platformsSolid understanding of Snowflake or similar cloud data warehousesFamiliarity with ETL/ELT processes and data pipeline orchestration toolsStrong problem-solving mindset and passion for data architecture What we offerCompetitive salary packageTop-of-the-line IT equipmentHybrid work policy3 months/year remote work from anywhereFast-growing, impact-driven team environment About SqueryFounded in 2022, Squery is a data consulting company that helps businesses unlock the power of analytics, big data, and machine learning.
We partner with organizations of all sizes — from startups to enterprises — to build custom solutions that transform the way they use data.
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