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Imprint Content

Data Engineer

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  • US
    United States
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    United States

Über

Who We Are

Imprint is building a next-generation co-branded credit card company to serve America's great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.

The Team

The Data Analytics team at Imprint is dedicated to building a robust data foundation that drives smarter decision-making across the organization. The team is responsible for developing and maintaining Imprint's data infrastructure, which includes not only the data warehouse and data pipelines but also comprehensive analytics systems that support both daily operations and strategic initiatives. By efficiently managing data flows, ensuring data quality, and optimizing performance, the Data Analytics team enables accessible, high-quality data that fuels insights into customer behavior, operational efficiency, and market trends. Leveraging these actionable insights, the team plays a crucial role in guiding Imprint's growth and profitability, empowering cross-functional teams to make well-informed, data-driven decisions.

What You'll Do Build and Scale Robust Data Pipelines Design, develop, and maintain scalable and efficient data pipelines, integrating data from diverse sources into our systems. Ensure data is ingested, transformed, and made available in a reliable, timely, and structured manner. Implement best practices for data orchestration, monitoring, and automation to optimize data flow.

Architect and Optimize Data Models Collaborate with stakeholders to define and implement well-structured data models that enable analytics and reporting. Optimize database schema, partitioning, and indexing strategies to ensure high performance and query efficiency. Drive data governance efforts to ensure data consistency, lineage, and usability.

Ensure High-Quality, Trustworthy Data Establish robust data validation, monitoring, and anomaly detection mechanisms to ensure data integrity and reliability. Proactively troubleshoot and resolve data quality issues, implementing automated checks and alerts. Continuously enhance data observability to minimize downtime and improve system resilience.

Optimize Data Storage and Performance Design and manage cloud-based data storage solutions, optimizing for scalability, cost efficiency, and query performance. Leverage distributed computing and modern data architectures to enhance processing efficiency. Continuously tune data infrastructure for optimal performance, ensuring minimal latency and maximum throughput.

Drive Cross-Team Collaboration and Innovation Work closely with data scientists, analysts, and business teams to understand and support their data needs. Provide guidance on best practices for data access, transformation, and analytics. Champion the adoption of new technologies and methodologies to advance our data engineering capabilities.

What We Look For 4+ years of experience working in data architecture, data pipeline, data warehouse modeling, master data management Bonus points for Master's degree in Computer Science, Engineering, Mathematics, Analytics or related field Experience in scaling and optimizing schemas, data warehouse modeling in

dbt , performance tuning

SQL in Snowflake , data pipeline management in

Airflow , working with

AWS

cloud platforms, manage code changes in

Github , manage data infrastructure in

Terraform ,and understand

CI/CD concepts Advanced knowledge and extensive experience in SQL Experience designing, developing, and maintaining large-scale and well-documented data marts to drive data insights Excellent written and verbal communication and interpersonal skills, and ability to effectively collaborate with technical and business teams Bonus Points Experience in banking, financial services, credit card, fintech in a start-up environment Perks & Benefits

Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off policy Fully covered, high-quality healthcare including fully covered dependent coverage Additional health coverage includes access to One Medical and option to enroll in an FSA 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents An understanding that successful remote work requires flexibility and an appreciation for asynchronous work Access to industry-leading technology across all of our business units - stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity

Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together.

Wünschenswerte Fähigkeiten

  • SQL
  • AWS
  • Github
  • Terraform
  • United States

Berufserfahrung

  • Data Engineer
  • Data Infrastructure

Sprachkenntnisse

  • English