Data Engineer

Surecall Tech; San Francisco (CA); Remote; USD 126,000 - 187,000; Full time

Job summary

A leading tech company in San Francisco is seeking a Data Engineer to design and build cloud-based data infrastructure. This role focuses on creating scalable data pipelines and integrating APIs, directly impacting business intelligence and product insights. Join a dynamic team that values collaboration and innovation, with a remote-first approach and opportunities for professional growth.

Benefits

Flexible hours

Budget for tools and training

Collaborative culture

Qualifications

• 3+ years of experience as a Data Engineer.
• Proven experience building and maintaining pipelines in production.

Responsibilities

• Building robust, scalable data pipelines using Spark, Kafka, Airflow.
• Designing warehouse architectures on Snowflake, BigQuery, or Redshift.

Skills

Python

SQL

Bash

Tools

Spark

Kafka

Airflow

Snowflake

BigQuery

Redshift

Job description

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

We’re partnered with a fast-scaling, product-led tech company that’s making serious waves in their industry, and data is at the core of it all. They’re building smarter, scalable platforms that help customers in real-time, and now they’re looking for a Data Engineer who can help architect the systems that make that possible.

This is not just another data team hire, you’ll be pivotal in designing, building, and scaling cloud-based data infrastructure that powers critical business intelligence, product insights, and machine learning.

What You’ll 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 You’ll 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: You’ll have a budget for tools, training, and conferences
• Culture-led: Empowered teams, low ego, lots of collaboration

Screening Questions:

• Describe a complex pipeline you’ve built – what made it challenging?
• How have you used streaming technologies like Kafka or Kinesis?
• What’s your go-to stack for building a modern data platform, and why?
• Have you worked with dbt or Airflow in a production setting?
• What’s 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

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.