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    Staff Data Engineer - Cleveland, United States - Splash Financial

    Splash Financial
    Splash Financial Cleveland, United States

    2 days ago

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    Description

    Job Description

    Job DescriptionABOUT OUR COMPANY:The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

    Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we've been able to refinance $4+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we've raised over $70 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners and more.

    But at our core, we're still that little company from Cleveland with a big dream: to make people more powerful than their debt and we're just getting started..

    ABOUT OUR WORKPLACE:Splash is remote-first, and proud of it. We spend our days creating ways to simplify financial products, then get them into the hands of people who need help. Right now, we're focused on developing financial technologies that fundamentally change the way the industry lends. And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups, access to community and engagement tools. And although we've been around since 2013, we still love to think like a start-up — a place that empowers good people to do great things, fast.

    We're friendly, folksy, and have Slack channels for both #kids-and-pets and #food. We're good people who want to make a difference in the financial landscape, and we approach tackling challenges with creativity, passion and urgency.

    About the Role:

    Splash Financial's Data team builds the data infrastructure and platform for reporting, analytics, and machine learning. The Data team is part of the engineering organization and uses engineering fundamentals to build solutions that deliver excellent value for the Splash business teams in finance and marketing. As a Data Engineer, you work with cross-functional teams' members, across business, product, engineering, machine learning, marketing, and other stakeholders, driving projects from conception to launch, to help the team leverage data and make better decisions for the Splash business. This role is fully remote, and the team operates in the Eastern time zone.

    What you'll do at Splash:

    • Collaborate closely with analysts, product managers, marketers, and finance analysts to deeply understand their problems and goals, and then design and prioritize solutions to help achieve those goals.
    • Collaborate with software developers, data scientists, and DevOps engineers to understand source systems to identify, stage, and model data for analytics engineers and data scientists.
    • Enable execution of our analytics and machine learning roadmap with the goal of scaling our data products to be more accessible, self-serve, reliable, and digestible for all employees across the company.
    • Recommend, develop, and implement best practices for snowflake platform administration, data integration, data ingestion, automated testing, data modeling, and data quality.
    • Demonstrate strong ability to coach and develop data team

    What you'll bring to Splash:

    • Bachelor's degree or equivalent required from an accredited institution.
    • At least 6+ years of experience in data engineering, software engineering, data analytics, or machine learning.
    • Strong expertise working with one or more cloud data platforms (Snowflake, Sagemaker, Databricks, etc.)
    • Experience managing Snowflake infrastructure with terraform.
    • Experience building batch, near real-time, and real-time data integrations with multiple sources including event streams, APIs, relational databases, noSQL databases, graph databases, document stores, and cloud object stores.
    • Strong ability to debug, write, and optimize SQL queries in dbt. Experience with dbt is a must.
    • Strong programming experience in one or more modern programming languages (Python, Clojure, Scala, Java, etc.)
    • Experience working with both structured and semi-structured data.
    • Experience with the full software development lifecycle including requirements gathering, design, implementation, testing, deployment, and iteration.
    • Strong understanding of CI/CD principles.
    • Strong ability to document, diagram, and deliver detailed presentations on solutions.

    Preferred Experience:

    • Expertise managing and integrating with cloud data streaming platforms (Kinesis Data Streams, Kafka, AWS SNS/SQS, Azure Event Hubs, StreamSets, NiFi, Databricks, etc.)
    • Expertise in working with cloud data integration platforms (Airflow / AWS MWAA, Snowflake Snowpipe, Kinesis Data Firehose, AWS Glue / Glue schema registry, Azure Data Factory, AWS DMS, Fivetran, Databricks, Dell Boomi, etc.)
    • Experience building data infrastructure in a cloud environment using one or more infrastructure as code tools (Terraform, AWS CloudFormation, Ansible, etc.)
    • Production experience with one or more cloud machine learning platforms (AWS Sagemaker, Databricks ML, Dataiku, etc.)
    • Understanding of machine learning libraries (MLlib, Scikit-learn, Numpy, Pandas, etc.)
    • Experience managing data governance and security enablement (role-based access, authentication, network isolation, data quality, data transparency, etc.) on a cloud data warehouse, especially Snowflake.
    • Experience building and optimizing data models with tools like dbt and Spark.
    • Experience integrating with data visualization tools (Sisense, Tableau, PowerBI, Looker, etc.)
    • Our data engineering and analytics stack includes Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, and Python programming for custom data engineering. We use Sisense and Sigma for BI capability. Experience with this or similar tool would be preferred. Data team owns the provisioning and administration of all the tools we work with.

    BENEFITS:

    • Comprehensive and affordable insurance benefits
    • Unlimited paid time off policy
    • 401(k) enrollment
    • 9 paid company holidays
    • Paid parental leave

    Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

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