Senior Data Engineer

SPAN designs and builds products for home electrification and decarbonization to combat climate change.
$134,000 - $190,000
Data
Senior Software Engineer
In-Person
3+ years of experience
Enterprise SaaS · AI

Description For Senior Data Engineer

SPAN is a mission-driven company focused on enabling home electrification and decarbonization through innovative products. As a Senior Data Engineer, you'll be at the forefront of building and maintaining the data infrastructure that powers their clean energy solutions. The role combines technical expertise in data engineering with real-world impact on climate change.

You'll work with cutting-edge technologies including real-time analytics, ETL pipelines, and cloud infrastructure while collaborating across multiple teams to deliver insights and solutions. The position requires expertise in Python, SQL, and modern data processing tools like Kafka, along with experience in AWS services and CI/CD systems.

The company offers a competitive salary range of $134,000-$190,000, plus comprehensive benefits including full medical coverage and generous parental leave. Based in San Francisco's SoMa neighborhood, SPAN provides a collaborative environment with a strong focus on team building and company culture.

This is an excellent opportunity for a seasoned data engineer who wants to make a meaningful impact on climate change while working with modern data infrastructure. The role combines technical challenges with the satisfaction of contributing to environmental sustainability. SPAN's commitment to diversity and equal opportunity, along with their well-funded status and competitive benefits, makes this an attractive position for those looking to advance their career in data engineering while contributing to a meaningful cause.

Last updated a month ago

Responsibilities For Senior Data Engineer

  • Design, build, test and create infrastructure for real-time and batch analytics pipelines
  • Work with multiple teams to provide analysis and insights on data
  • Write ETL processes that support data ingestion
  • Guide and enforce best practices for data management, governance and security
  • Build infrastructure to monitor data pipelines/ETL jobs
  • Create tooling for pipeline visibility
  • Ensure data quality and excellence of platform
  • Improve data discovery processes
  • Build tools for automating work
  • Assist in building data logging, alerting and monitoring
  • Design and establish KPIs to monitor analysis

Requirements For Senior Data Engineer

Python
Kafka
  • Bachelor's Degree in quantitative discipline (CS, statistics, engineering, etc.)
  • 3+ years of relevant work experience
  • Experience in Python, Scala, or other JVM based languages
  • Experience with latency data processing solutions (Flink, Prefect, AWS Kinesis, Kafka, Spark)
  • Experience with SQL/Relational databases and OLAP databases like Snowflake
  • Experience with messaging/streaming platforms
  • Experience working in AWS: S3, MSK, Glue, Athena, EMR, ECR
  • Experience working with CI/CD systems
  • Experience working with IAC providers

Benefits For Senior Data Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Competitive compensation + equity grants
  • 100% employee premiums for base plans on medical, dental, vision
  • Parental leave up to 24 weeks
  • Comfortable office space near BART and Caltrain
  • Monthly social events
  • Flexible hours and time off
  • One holiday per month

Interested in this job?

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