Senior Data Engineer

San Francisco, CA (Remote) /
Technology – Data /
Full-time
Flexbase is building the Financial Operating System designed to disrupt the largest and least digitized sector of the US economy: the $1.6 Trillion construction market.  Our first product is a high limit corporate card for construction businesses, with an industry-leading 0% APR for 60-days.  Similar to tech startups who couldn’t obtain credit cards until recent FinTechs disrupted the industry, SMB construction firms face similar challenges with traditional banks - except construction companies spend 10x more. Today we are growing incredibly fast with significant market demand. The total available market for Flexbase's Financial OS for the construction industry alone is $24 billion.

Flexbase is a fully remote company and this role can be performed from anywhere.

The Role

We are looking for engineers who are excited to be part of our early story and help us build a diverse and vibrant company. As a senior data engineer you will be responsible for building systems that bridge the gap between raw business data and consumable data products that the business can trust and take action on. You should have a strong sense of ownership and enjoy taking projects from inception to release. As an early employee, you’ll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture.

What You’ll Do

    • Collaborate with stakeholders across the company to build aggregated and curated datasets, dashboards, and APIs to support getting the right data to the right people at the right time.
    • Architect, implement, and manage batch and real-time data pipelines, models, and ETLs to surface new internal and third-party data sources for easy analysis.
    • Identify gaps and invent processes, automated scripts, and tools to efficiently carry out data processing tasks in a scalable fashion.
    • Utilize logging, observability, and notifications for workflows.
    • Contribute to advancing goals around data governance policy creation/enforcement, business metadata cataloging, and access control.
    • Own the process and automation for data intake, QA, and data delivery.
    • Be a catalyst for driving best-in-class technology frameworks and tooling while staying engaged with the latest technology trends.

What You Need

    • Advanced experience building, optimizing, and maintaining data pipelines and data sets.
    • Demonstrated strong experience working with relational databases, query authoring as well as working familiarity with a variety of databases and data warehouses like Postgres, Snowflake, or similar.
    • Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Strong analytic skills related to working with unstructured datasets.
    • Experience with data pipeline and workflow management tools like Airflow.
    • Familiarity with cloud based providers like Google Cloud, AWS, or Azure and related data services like BigQuery, Dataproc, Dataflow, etc.
    • Experience with programming languages like Python, C#, Java, Scala, etc.
    • Knowledge of Retool or Tableau.
    • Exposure to stream-processing systems: Beam, Spark Streaming, Kafka Streams, etc.
    • Four or more years of relevant industry experience with a track record of shipping high-quality products and features at scale.
Our team has veteran founders with multiple exits, a Thiel Fellow, a McKinsey/construction exec with a Nasdaq IPO, and executives that led engineering and risk teams at Kabbage (AmEx), Citizens Bank, and UBS.  The company’s backers include Hustle Fund, Soma Capital, Turner Novak, Jeff Morris Jr, Foundamental, Suffolk Construction, Equipment Share, famous angel investors, and many more Silicon Valley funds.