Data Engineer

JOB POINT
San Francisco, CA, United States
4 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Computer Engineering Information Engineering Disaster Recovery Apache Hadoop Python (Programming Language) SQL Databases Scripting Build Management Information Technology AWS Data Analytics Real Time Data Apache Kafka
+3 more
Data Management Video Streaming Data Pipelines

Job description

Point is building a modern and aspirational banking experience by bringing rewards and benefits to the everyday debit card. We are looking for a Data Engineer to pioneer the data team at Point and be responsible for building out the data pipelines and systems necessary to develop best in class algorithms, models, etc. You will have ownership over the data pipelines and infrastructure in addition to setting the foundation for data engineering at Point. This role will be working closely with the engineering team and data science to accomplish product initiatives and business goals. This position will report directly to the CTO. Learn more about Point’s team and culture here.

You Will:

  • Design and build scalable and robust data management systems
  • Ensure that all systems meet industry best practices and business requirements
  • Create custom services and tooling when applicable
  • Implement disaster recovery procedures
  • Collaborate with engineers and data scientists on projects

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Applied Mathematics, Physics Statistics or equivalent work experience
  • 5+ years of relevant professional experience working at a notable startup or technology company.
  • Strong algorithmic and data modeling knowledge
  • Experience working with a Hadoop or similar ecosystem
  • Expert in SQL and a scripting language like Python Nice to Have:

  • Experience working with AWS data products
  • Experience building a data pipeline from scratch
  • Have built a real-time data pipeline using a streaming technology like Kinesis or Kafka

Benefits & conditions

  • Competitive salary and stock options
  • 401k
  • Full health benefits (medical, dental, and vision insurance).
  • 20-day vacation policy. Can roll over up to 10 days per year. And we shut down the office in between Christmas and New Year’s. Flexible WFH and sick day allowance.
  • Education Credits: $25/mo. Keep learning - books, courses, training, etc.
  • Wellness Credits: $50/mo. Take care of yourself - gym, fitness classes, meditation, etc.
  • Commute Credits: $100/mo. Don’t stress rush hour - public transit, bike, lyft, etc.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:18 min

Exploring the Apache Spark layer architecture

Ayon Roy · LIVE

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:39 min

Defining Apache Kafka and its primary real-time use cases

Lucia Cerchie · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all