Job description

At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.

The Cloud-Native Data Engineer oversees the ingestion, transformation, delivery, and movement of data throughout every part of an organization. They extract it from many data sources (Operational and Historical). They load it into data warehouses and data lakes. They transform it for analysts and data science initiatives, massage it for predictive analytic systems, and deliver it for business intelligence dashboards and reporting needs. Data Engineers also are responsible for building efficient operational and historical data models and will rely heavily on a solid cloud-based DataSecOps platform to execute the data pipelines and logic that underpin these data models.

Name of Role: Senior Cloud Data Engineer

Location: Omaha, NE with option to work remotely

The Opportunity:

Join Bend by FNBO’s team to help us revolutionize consumer payments by creating a digital credit card services business. This business will deliver the speed and agility that digital-first fintech’s and API-driven brands need to drive loyalty and value through card payments.

Our Credit Card-as-a-Service (CaaS) platform is a collection of cloud native API products and services that are led by technology and being built with a product mindset; shifting away from how legacy card issuers work today. We are building our platform offering to attract digitally native brand partners who seek best in class API Card Products that can be seamlessly embedded into their digital brand customer experience. The CaaS team operates from a Product-led API first approach working “outside-in” to ensure we are focused on meeting the customers’ needs up front. This means, we obsess over delivering high value experiences for customers and users at each step.

This journey to create something new and innovative needs an individual to join our team who can embrace a start-up mentality, is fearless, can work alongside a high-functioning team and commit to exceeding expectations.

Bend by FNBO is looking for a highly motivated, passionate, self-driven individual that enjoys creating data centric solutions within our CaaS API platform that provide powerful insights to our employees and customers that improve the customer and partner experience as well as help protect the bank.

Our Team goal is to stay centered and focused on the customer, deliver products to our partners that solve real customer problems while at the same time protect the Bank.

Role Description:

The Cloud-Native Data Engineer oversees the ingestion, transformation, delivery, and movement of data throughout every part of an organization. They extract it from many data sources (Operational and Historical). They load it into data warehouses and data lakes. They transform it for analysts and data science initiatives, massage it for predictive analytic systems, and deliver it for business intelligence dashboards and reporting needs. Data Engineers also are responsible for building efficient operational and historical data models and will rely heavily on a solid cloud-based DataSecOps platform to execute the data pipelines and logic that underpin these data models.

Role Objectives:

  • Establish best practices that help engineering ensure our data models (unstructured and structured) are adequately managed, and that they are able to deliver on their vision to automate and orchestrate the data management process within the Bend by FNBO organization

  • This role is expected to create and own data models for both operational and historical business needs

  • Incorporate unstructured and/or raw data from operational data sources and models into a data warehouse (data marts) by transforming and mapping data into historical discrete data models

    • Establish data driven algorithms to help give easier access to raw data.

  • Establish and identify key relationships between data sources (operational, historical, etc.)

  • Separate logics into unique metrics and nonunique metrics

  • Build and Monitor data pipelines (ideally in real-time) with automation and alerting in mind in the event of error conditions and inconsistencies

  • Ensure the organization’s data lineage, data quality and data governance as a whole is consistent and reliable

  • Create independent and discrete processes within data models that don’t rely on others. It is important that data sources run and operate independently so one model or data store does not affect another

  • Create and optimize data retrievals for stakeholders

  • Identify and communicate data trends and inconsistencies that may impact business goals via soft skills based on stakeholder requirements

Role Values:

  • Leadership – Do what’s right, even if it’s tough

  • Collaboration – Leverage our team and product knowledge, be a team

  • Transparency – Be real, be yourself and feel comfortable about it

  • Accountability – Recognize that if it is to be, it’s up to me

  • Passion – Show commitment in heart and mind

  • Advocacy – Earn trust and business

  • Quality – Ensure what we do, we do well

Role Responsibilities :

  • Attend daily stand ups and scrum sessions working directly with the product teams using agile practices

  • Work closely with the Bend by FNBO team members (analysts, engineers, architect, product managers, testers) to achieve continuous improvement as it pertains to data quality, data modeling, data integrations and pipelines, development, deployment and runtime environments

  • Work with product teams on establishing non-functional requirements for data quality, integration, transformation, modeling and real-time persistent storage of data

  • Own end-to-end design and implementation of the data “ETL” pipelines between data sources including development, testing, release, and maintenance of pipelines

  • Analyze the business needs, profile large data sets and build custom data models

  • Be able to connect industry data to provide analytical insights

  • Manage integrations with 3rd party data providers, constantly improving the efficiency, cost-effectiveness and quality of the integration

  • Conduct research for industry and business questions

  • Prepare data for predictive and prescriptive modeling

  • Partner with the Analytics team to automate processes that improve data utilization for insights and reporting

  • Utilize Snowflakes’s native ability to develop governance policies that are easier to apply across disparate needs, and in a centralized way.

  • Develop data marts which allow partners to connect their reporting tools to our Snowflake account.

  • Develop, construct, test and maintain data architectures

  • Align data architecture with business requirements

  • Use programming languages and cloud-based tools

  • Use data to discover tasks that can be automated

  • Deliver updates to stakeholders based on analytics

  • Be responsive to incident response tickets on data related incidents

  • Counsel and mentor team members on data best practices and guidelines

Preferred Qualifications:

Team Fit

  • A lot of Passion and Energy

  • Innovation-Driven thinker and willingness to share ideas

  • Humility, honesty, and transparency

  • Willingness to lead and help others succeed

  • Strong desire to achieve - self-driven

  • Results focused

  • No-Fear attitude

  • Highly collaborative and open minded

  • Ability to communicate clearly and respectfully with customers, partners, and team members

Technical Skills

  • Proficient in a variety of programming languages such as AWS Lambdas, Typescript, Java, Python, R, SQL, NoSQL

  • REST Oriented APIs

  • SQL and NoSQL Data Stores

  • RDBMS

  • Lambda and Serverless AWS Architecture

  • GitLab

  • AWS CDK

  • AWS CodeBuild

  • Snowflake

  • PostgreSQL

  • MongoDB/AWS DocumentDB

  • AWS DynamoDB

  • AWS AuroraAWS S3

  • AWS Kinesis (Data Streams)/Kafka

  • AWS Data Pipeline

  • AWS Glue

  • AWS QuickSight (reporting and snowflake integrations)/PowerBI

Equity, Diversity, & Inclusion:

FNBO is committed to belonging, inclusion, diversity and equity. We are committed to intentionally and proactively creating pathways to success for historically underrepresented populations. To accomplish this, we foster a culture of belonging and inclusion so that every employee is valued, and has opportunity and the ability to make an impact. FNBO strives to reflect the diversity of the communities we serve in the makeup of our workforce.

See the full FNBO Equity, Diversity, & Inclusion Statement here

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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