Data Engineer

Join to apply for the Data Engineer role at Surecall Tech Join to apply for the Data Engineer role at Surecall Tech Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Surecall Tech Entrepreneur & Recruitment Director | Building High-Performing Teams | Cutting Costs & Securing Top Tech Talent Data Engineer | Cloud-Native | High-Impact Products | Remote | 75,000 95,000 + Benefits One of the Most In-Demand Data Engineering Roles on the Market Right Now Were partnered with a fast-scaling, product-led tech company thats making serious waves in their industry, and data is at the core of it all. Theyre building smarter, scalable platforms that help customers in real-time, and now theyre looking for a Data Engineer who can help architect the systems that make that possible. This is not just another data team hire, youll be pivotal in designing, building, and scaling cloud-based data infrastructure that powers critical business intelligence, product insights, and machine learning. What Youll Be Working On: Building robust, scalable data pipelines (batch + real-time) using Spark, Kafka, Airflow, dbt Designing warehouse architectures on Snowflake, BigQuery, or Redshift Developing ETL/ELT solutions that transform billions of records with performance and governance in mind Integrating APIs and external data sources into a unified data platform Partnering cross-functionally with data scientists, engineers, and product teams to deliver value-driven insights Implementing data observability, lineage, and quality frameworks to support growth at scale ? The Tech Youll Use: Cloud: AWS or GCP Warehousing: Snowflake, BigQuery, Redshift Streaming: Kafka, Kinesis Languages: Python, SQL, Bash What We're Looking For: 3+ years of experience as a Data Engineer working with modern data stacks Proven experience building and maintaining pipelines in production Experience with event-driven architecture and cloud-native environments A keen understanding of data privacy, security, and governance best practices Bonus points for experience with tools like Looker, Power BI, or Tableau High-impact role: Your work directly supports real-time decision-making for thousands of users Modern stack: No legacy systems, no duct tape build the right way from the start Remote-first: Work from anywhere, with flexible hours Backed for growth: Youll have a budget for tools, training, and conferences Culture-led: Empowered teams, low ego, lots of collaboration Screening Questions: Describe a complex pipeline youve built what made it challenging? How have you used streaming technologies like Kafka or Kinesis? Whats your go-to stack for building a modern data platform, and why? Have you worked with dbt or Airflow in a production setting? Whats your approach to handling schema evolution and bad data? If you're ready to take on one of the most high-impact and in-demand Data Engineering roles out there, with a company that genuinely puts data at the centre of product and strategy get in touch or apply now. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Product Management and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Surecall Tech by 2x Get notified about new Data Engineer jobs in San Francisco Bay Area. San Francisco, CA $126,100.00-$186,800.00 2 days ago Software Engineer L4/L5, Model Serving Systems, Machine Learning Platform United States $100,000.00-$720,000.00 6 days ago Mountain View, CA $170,000.00-$200,000.00 4 days ago San Francisco, CA $147,000.00-$217,800.00 2 days ago San Francisco, CA $45.00-$60.00 2 months ago Software Engineer, SQL - AI Training (Freelance, Remote) San Francisco, CA $170,000.00-$210,000.00 2 months ago Software Engineer, Python - AI Training (Freelance, Remote) San Jose, CA $107,430.00-$176,490.00 3 days ago San Francisco, CA $180,000.00-$220,000.00 5 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr