83 applicants

Company

Oportun · 1 day ago

Senior Staff Data Engineer

Remote - IN

Full-time

Remote

Senior Level, Lead/Staff

12+ years exp

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Responsibilities

Set the strategic vision and lead the implementation of a cutting-edge data infrastructure roadmap, encompassing all facets as highlighted above.

Provide exceptional technical leadership, mentoring, and guidance to a team of data engineers, fostering a culture of continuous learning and innovation.

Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.

Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation to ensure transparency and reproducibility.

Engineer automated CI/CD pipelines that facilitate seamless deployment, monitoring, and continuous optimization for code and configurations in data engineering.

Define and refine performance benchmarks, and optimize data infrastructure to achieve peak correctness, availability, cost efficiency, scalability, and robustness.

Highly motivated self-starter who loves ownership and responsibility while working in a collaborative and interdependent team environment.

Work with multiple teams of data engineers to design, develop, and test major software and data systems components using an agile, scrum methodology.

Drive strong data engineering practices around product development execution, operational excellence in observability, quality, reliability, and developer efficiency.

Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our data ecosystem.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData Infrastructure DevelopmentPythonPySparkHadoop EcosystemDatabricksCloud PlatformsDevOps PracticesCI/CD PipelinesSoftware Engineering PrinciplesAWSAzureGCPVersion Control (Git)Financial Services Domain

Required

Requires 12+ years of related experience in data engineering, with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience.

Extensive experience orchestrating the development of end-to-end data engineering infrastructure for intricate and large-scale applications.

Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation.

Profound mastery of data engineering architecture and frameworks across batch and stream processing of data, such as Hadoop ecosystem, Medallion architecture, Databricks or equivalent data warehouse / data lake platforms, coupled with Python / PySpark programming.

Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows.

Adeptness with cloud platforms (AWS / Azure / GCP) and utilization of cloud-native services for crafting robust data engineering infrastructure.

Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines.

Superior problem-solving acumen and ability to navigate intricate technical challenges with dexterity.

Exceptional communication aptitude, capable of fostering effective collaboration across diverse teams and stakeholders.

Preferred

Experience or Knowledge in financial services domain.

Experience or Knowledge of one or more data processing frameworks using AWS will be a strong plus.

Ability to handle multiple competing priorities in a fast-paced environment.

Company

Oportun

Glassdoor

3.3

Oportun is a digital banking platform that offers personal loans and financial services to people with limited credit history.

Founded in 2005

San Carlos, California, USA

1001-5000 employees

https://oportun.com

H1B Sponsorship

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