8

8am

B2B fintech payments for professional services

Senior Data Engineer

Data EngineeringUpdated on Nov 11
Full-timeRemote in CzechiaRemote

About the Job

Requirements

  • At least 7 years of data engineering experience.
  • Experience with data warehouses and large-scale analytics systems such as Redshift, Snowflake, or BigQuery.
  • Strong experience designing and building data pipelines and data platforms.
  • Experience with cloud infrastructure; AWS is preferred.
  • Experience building and maintaining relational, document, key-value, and other NoSQL databases.
  • Advanced Python and SQL skills.
  • Experience working with third-party APIs for data integration.
  • Experience with business process automation.
  • A bachelor's degree or higher in a technical field, or a similar combination of education and experience.
  • Experience with Spark and Redshift; PySpark is preferred.
  • Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.
  • Experience with Infrastructure as Code tools such as Terraform or CloudFormation.
  • Experience with event or streaming systems such as Kafka.
  • CI/CD experience.
  • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.

Responsibilities

  • Lead design discussions about data architecture, modeling strategy, and platform evolution.
  • Identify opportunities to simplify and scale the data platform.
  • Drive improvements to data reliability, observability, and data quality.
  • Establish and promote best practices for data modeling, testing, and code review.
  • Help the team prioritize work and balance speed with technical quality.
  • Develop and optimize ETL processes.
  • Integrate data sources across the product portfolio to give stakeholders access to key information.
  • Mentor other data engineers.
  • Assess how business use cases fit together and into the product.
  • Determine and proactively communicate future impacts of proposed or ongoing work.
  • Help the team mitigate issues in its product and ecosystem.
  • Model data and metadata to support ad hoc and pre-built reporting and facilitate access for BI tools and analytical reporting.
  • Provide technical guidance to evolve Data Engineering's access to the data platform.
  • Work with engineering to integrate tracking of new functionality into the data ecosystem.
  • Optimize the performance of business-critical queries.
  • Explain why the team's projects have been prioritized over other projects.

Desired Qualifications

  • AWS cloud infrastructure experience is preferred.
  • PySpark experience is preferred.

About the Company

8am

B2B fintech payments for professional services

8am provides payment processing solutions tailored for professional services, serving B2B clients such as law firms, accounting firms, design professionals, associations, and nonprofits with industry-specific platforms. Its flagship products—LawPay, CPACharge, AffiniPay for Associations, DesignPay, and ClientPay—handle secure, compliant payments and integrate with professional workflows. The company differentiates itself by focusing exclusively on professional services, delivering industry-specific features, strong security, regulatory compliance, and detailed reporting to improve cash flow and client experience. Its goal is to be a trusted partner for professional firms by delivering reliable, compliant payment processing that streamlines payments and enhances client interactions.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
Not listed
Headquarters
Austin, TX
Founded
2005

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