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Software Engineer (Remote)

Lensa

Phoenix (AZ)

Remote

USD 85,000 - 170,000

Full time

2 days ago
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Job summary

Join a forward-thinking company on a mission to revolutionize banking with a fully digital experience. As a Software Engineer - Data, you'll leverage your expertise in Java, Scala, and Python to build a robust Data and Analytics Platform. This role offers the chance to work on innovative cloud technologies, developing scalable data solutions that drive business success. Be part of a dynamic team that values creativity and collaboration, as you contribute to a rapidly growing digital bank that prioritizes customer satisfaction and operational excellence. Your work will directly impact the future of banking, making it smarter and more accessible for everyone.

Qualifications

  • 6+ years in Data Engineering with a focus on Data Warehousing and Analytics.
  • 4+ years of experience with leading public clouds and building scalable data pipelines.
  • Strong understanding of relational and dimensional data modeling.

Responsibilities

  • Design and build scalable data ingestion pipelines and automate ETL processes.
  • Monitor Data Lake and ensure appropriate engagement of support teams.
  • Collaborate with business partners for continuous improvement.

Skills

Java
Scala
Python
Data Engineering
ETL Processes
Data Governance
DevOps
CI/CD
Data Modeling
Communication Skills

Education

Bachelor's degree in Computer Science
Engineering or Information Systems

Tools

GCP (Google Cloud Platform)
Kafka
Splunk

Job description

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Lensa is the leading career site for job seekers at every stage of their career. Our client, SMBC, is seeking professionals. Apply via Lensa today!

Join our mission to create a completely new, 100% digital bank that uses consumer feedback to truly meet customers’ best interests. Jenius Bank, a division of SMBC MANUBANK, and a member of SMBC Group, is being built by a close-knit and fun-loving team of financial services professionals and technology experts who came together for the challenge of building a full-service digital bank from scratch. We’re committed to doing it the right way for the customer and are growing rapidly. To learn more about our relationship to our parent company, visit our website.

The anticipated salary range for this role is between $85,000.00 and $170,000.00. The specific salary offered to an applicant will be based on their individual qualification, experiences, and analysis of current compensation paid in their geography and the market for similar roles at time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC MANUBANK offers a competitive portfolio of benefits to its employees.

Jenius Bank is strategically scaling up a portfolio of products and building extraordinary experiences. In 2023, we launched our first two products reaching $1 billion in deposits and over $700 million in loans, all before Jenius Bank’s first anniversary. We don’t plan to slow down, with ambitious growth plans and the capital necessary to execute a multi-year strategic plan. We have a start-up mindset paired with SMBC Group’s 400 years of history. SMBC Group has more than 150 offices and 86,000 employees worldwide in nearly 40 countries and is committed to creating new business to better serve customers in the rapidly evolving digital environment. Join us on the journey that has caught the attention of the Banking Dive, and more to reinvent banking where smarter banking translates to a richer life.

Job Summary

Jenius Bank is looking for a hands-on Software Engineer - Data proficient in Java, Scala, and Python languages. You'll be part of the team that is responsible for building Data and Analytics Platform for the Digital Bank Unit. As a Software Engineer - Data on the team, you will get an opportunity to perform proof of concept on new cloud technologies and build a highly scalable, data platform to support critical business functions, create rest APIs to expose data services for internal and external consumers.

Principal Duties And Responsibilities

  • Have solid experience and understanding of large-scale solutioning and operationalization of data warehouses, data lakes, and analytics platforms on GCP.
  • Monitor the Data Lake constantly and ensure support teams are engaged appropriately.
  • Design, build, and test scalable data ingestion pipelines, automating ETL processes for datasets.
  • Extract application telemetry data, structure it, and send it to appropriate tools for reporting (Kafka, Splunk).
  • Create reports to monitor usage data for billing and SLA tracking.
  • Work with business and cross-functional teams to gather and document requirements.
  • Support the availability and performance of ETL/ELT jobs.
  • Provide technical assistance and cross-training to team members.
  • Collaborate with business partners for continuous improvement.

Position Specifications

  • Bachelor's degree in Computer Science, Engineering, or Information Systems.
  • 6+ years in Data Engineering, focusing on Data Warehousing and Analytics.
  • 4+ years experience with leading public clouds.
  • 4+ years designing and building scalable data pipelines.
  • Proficiency in Python, Scala, and experience with Notebooks.
  • At least 1 year hands-on experience with GCP data projects (Dataflow, DataProc, etc.).
  • 2+ years experience in Data governance and Metadata Management.
  • Ability to work independently, solve problems, and update stakeholders.
  • Strong understanding of relational and dimensional data modeling.
  • Experience with DevOps and CI/CD technologies.
  • Excellent communication skills, including technical documentation and interaction with senior management.

EOE STATEMENT

SMBC provides reasonable accommodations during candidacy for applicants with disabilities. Contact us at accommodations@smbcgroup.com if needed.

CCPA DISCLOSURE

Personal Information Collection Notice under CCPA. We do not sell PI. More info at https://www.smbcmanubank.com/privacy/ccpa-disclosure. Disabilities can contact our toll-free number for alternative formats.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • IT Services and IT Consulting
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