Convex

Software and services to improve the way commercial service providers…

Senior Data Engineer

Location
San Francisco
Job Type
Full-time
Experience
6+ years
Apply to Convex and hundreds of other fast-growing YC startups with a single profile.
Apply to role ›

About the role

At Convex, data is not an incidental byproduct of our app. The data team is not a support function or an experimental lab. Data is the star of our app, and the data team is at the heart of our business.

Our product, Atlas, provides rich data on virtually every commercial property in the country (and all of the workflow software built on top of that to make it useful). Think Redfin for every commercial property, with Salesforce functionality to organize and track your work. For our users who serve these properties, this data and workflow becomes their secret weapon; there's nothing else like it available in the market today.

Our market is under the radar, but massive and ubiquitous commercial services industry. Our customers are responsible for the air we breathe, the water we drink, and the lighting, safety, security, and dozens of other privileges that we are incredibly fortunate to take for granted in buildings across all of America.

Our customers live and work in almost every state in America. They include some of the largest enterprises in the country, like Siemens and Carrier, and smaller businesses we care just as deeply about.

The Data Opportunity

Because data is core to our product, your role is central to our entire business. Your data features in the product frequently close massive deals and drive best-in-class retention. Every customer experiences your improvements, in prod, immediately – this is not an internal BI role.

From an engineering perspective, every commercial property means massive data sets – and demanding performance and architecture requirements for your features to be put through. Geospatial data often requires GIS techniques to wrangle datasets – something different than the average SQL join. Data on virtually every commercial property in the US means a chance to see the country by way of satellite imagery, property boundaries, and several hundred other data elements we have already developed.

The Role

We are looking for an experienced Data Engineer / Data Architect to build scalable platforms that enable efficient data movement within Convex across various sources, sinks, and support continuous data integration and processing with external enterprise systems via secure APIs and connectors.

You will have a chance to:

  • Design and implement reusable solutions and architectures for data sharing and processing use cases
  • Support and improve our multi-tenant data pipeline, processes, infrastructure, and stack
  • Drive end-to-end performance, scaling, observability, and monitoring of our platforms
  • Create data governance models, including assets, relationships, domains, and communities
  • Work in the heart of a business with multiple partner teams to build cross-functional customer solutions

You have the following qualifications:

  • Bachelor’s degree in Computer Science or related technical field or equivalent practical experience
  • 5+ years of software backend/data engineering experience, including familiarity with data modeling, ETL, schema and system design, planning, implementation, maintenance, and documentation.
  • Professional development experience in Python/Pandas, Java, Go, and SQL
  • Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. Postgres, Cassandra, Hadoop, HDFS)
  • Sound knowledge about database concepts such as transactions, indexing, concurrency
  • Highly analytical, passionate about data quality and availability
  • Effective communicator; able to help drive data engineering roadmap and keep stakeholders updated

It would be nice if you have:

  • Masters or Ph.D. in Computer Science or related field
  • Experience identifying and solving major architectural problems
  • Experience building geospatial services and datasets, such as maps data
  • Hands-on experience building Spark applications or similar Big Data pipelines / frameworks / services (e.g. Hadoop, Hive, Kafka, Presto, Beam, Parquet, Avro etc.)
  • Familiarity with API integrations and development on respective CRM platforms
  • Some understanding of data-science & machine-learning data use cases

About Convex

At Convex (YC W19), we’re building the leading B2B full-stack software platform for the $400bn+ commercial services market. It's a 100-year-old industry impacting millions of people every day. We already work with some of the largest enterprise companies in the sector and were one of the fastest growing companies in the Winter 2019 YC batch. Our team is a unique mix of industry veterans from Carrier, Siemens, and Honeywell as well as founders from MIT, Harvard, and Georgia Tech. Based in San Francisco, our investors include Emergence Capital, 1984 Ventures, UP2398, Liquid2 (Joe Montana), YCombinator, the founders of PlanGrid, and others.

Benefits

  • Join an early stage company with a lot of momentum, lead by a top tier leadership team and backed by top tier investors
  • Competitive salary and generous equity
  • Medical and dental insurance
  • Commuter benefits
  • Generous parental leave policy
  • Company outings & team retreats
  • Dog-friendly, renovated office in South Park with Bay views

Convex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To all recruitment agencies: Convex does not accept agency resumes. Convex is not responsible for any fees related to unsolicited resumes.

Why you should join Convex

At Convex (YC W19), we’re building the leading B2B full-stack software platform for the $400bn+ commercial services market. It's a 100-year-old industry impacting millions of people every day. We already work with some of the largest enterprise companies in the sector and were one of the fastest growing companies in the Winter 2019 YC batch. Our team is a unique mix of industry veterans from Carrier, Siemens, and Honeywell as well as founders from MIT, Harvard, and Georgia Tech. Based in San Francisco, our investors include Emergence Capital, 1984 Ventures, UP2398, Liquid2 (Joe Montana), YCombinator, the founders of PlanGrid, and others.