Salary 💰 $145,500 - $232,500 per year
Tech Stack Airflow AWS Azure Cloud Google Cloud Platform Java Python Scala Spark SQL Tableau
About the role Collaborate with cross-functional teams to understand business needs and translate them into technical requirements Design, implement, and maintain scalable data pipelines to collect, process, and store large volumes of data from diverse sources Monitor, troubleshoot, and optimize data pipeline performance to ensure reliability and efficiency Proactively identify opportunities to automate and improve team processes Rapidly learn new business domains and work closely with partners to understand and support evolving data needs Develop and evolve data models that support business use cases and adapt to changing requirements Communicate complex technical concepts clearly to both technical and non-technical audiences Champion engineering best practices by reviewing designs and code, providing constructive feedback, and mentoring team members Requirements Bachelor’s degree or higher in Computer Science or a related field 5+ years of experience building and maintaining data-intensive applications Proven ability to design, build, and maintain scalable data pipelines for large datasets Proficiency with modern data technologies such as Spark and Airflow Strong programming skills in Python, Java, or Scala Advanced SQL skills and experience with data modeling Experience deploying, monitoring, and ensuring the reliability of production data systems Excellent interpersonal and collaboration skills across teams and functions Experience with cloud platforms (AWS, Azure, or GCP), Databricks, or data visualization tools (e.g., Tableau, Power BI) is a plus Qualified applicants with arrest or conviction records will be considered in accordance with applicable law comprehensive medical, dental, vision, life, and disability coverages parental leave family benefits retirement contributions paid time off flexible, well-balanced life and Cloud HQ flexible work equity awards based on experience, performance and location recognition and awards (Glassdoor etc.) Copy ATS Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills data pipelines data modeling Python Java Scala SQL Spark Airflow data-intensive applications production data systems
Soft skills interpersonal skills collaboration skills communication skills mentoring problem-solving process improvement technical requirements translation feedback provision adaptability business domain learning