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Scala Finance Jobs

3 jobs found

2mo ago

Senior Data Engineer - Financial Transactions & Automation

NVIDIA Santa Clara, CA

Santa Clara, CA

2mo ago Closed

$184k - $288k/yr Full time Senior Azure Databricks Cloud

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Join NVIDIA's Financial Systems Engineering team to build foundational systems for high performance financial infrastructure and scalable cloud services. This onsite role in Santa Clara, CA focuses on enabling automated global financial operations by integrating a variety of financial systems. The position offers a competitive salary range of USD 184,000 - 287,500 per year.

Benefits

Equity
Benefits

Responsibilities

Design event driven data pipelines using Kafka and create data models that ensure transactional integrity for invoices, payments, and adjustments.
Automate scalable ETL processes and refactor next generation data architectures to improve quality, security, and coverage for growing business needs.
Collaborate across teams to codify business processes into self measuring systems and address complex challenges to ensure the reliability of financial operations.

Requirements

Bachelor’s degree or equivalent experience; Master’s preferred.
10+ years of experience delivering scalable financial services.
Expertise building scalable REST APIs backed by PostgreSQL.
Proficiency in Python, Golang, Scala, or NodeJS.
Hands on experience architecting robust ETL/ELT pipelines using Databricks and dbt to manage large scale Delta Lake or Apache Iceberg tables.
Deep understanding of high scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.

Technologies

Kafka
PostgreSQL
Python
Golang
Scala
NodeJS
Databricks
dbt
Delta Lake
Apache Iceberg
Linux
AWS
GCP
Azure
Docker
Kubernetes

Ways to stand out from the crowd

Advanced Data Modeling: Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and functions.
Financial Domain Scale: A track record of managing Financial or ERP data at internet scale, ensuring transactional integrity and zero data loss.
Modern Operations: An Infrastructure as Code mindset with specific experience building self healing systems in distributed environments.

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2mo ago

Lead Data Engineer (Finance Tech)

Capital One Richmond, VA

Richmond, VA

2mo ago Closed

$179k - $205k/yr Full time Big Data Bigdata Cloud Architecture

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

What Capital One offers

Join Capital One in its Finance Tech initiative for an on-site role in Richmond, Virginia, with a competitive annual salary of USD 179,400 to 204,700. You will work in a collaborative environment that emphasizes cloud-based data platforms and data-driven financial decisions. The position includes comprehensive health and financial benefits, along with a performance-based incentive program that may include cash bonuses and long-term incentives. This role welcomes ongoing learning and mentorship within a supportive engineering community.

Responsibilities

Collaborate with Agile teams to design, build, test, deploy, and support technical solutions using full-stack tools and technologies.
Join a development team with deep experience in machine learning, distributed microservices, and full-stack systems.
Work with Java, Scala, and Python, plus Open Source RDBMS and NoSQL databases, and cloud data warehousing services such as Redshift and Snowflake.
Share a passion for staying current with technology trends, experimenting with new tools, participating in internal and external tech communities, and mentoring other engineers.
Collaborate with digital product managers to deliver robust cloud-based solutions that empower millions of Americans to achieve financial empowerment.
Perform unit tests and participate in code reviews to ensure well-designed, cleanly coded, and performance-tuned software.

Requirements

Bachelor’s Degree
At least 4 years of experience in application development (internships do not count)
At least 2 years of experience with big data technologies
At least 1 year of cloud computing experience (AWS, Microsoft Azure, Google Cloud)

Technologies

Java
Scala
Python
Redshift
Snowflake
Mongo
Cassandra
Hadoop
Hive
MapReduce
EMR
Kafka
Spark
Gurobi
MySQL
UNIX/Linux
Shell scripting
AWS
Microsoft Azure
Google Cloud

Benefits

Health benefits
Financial benefits
Performance-based incentive compensation (cash bonuses and/or long-term incentives)

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2mo ago

Senior Data Engineer - Project Accounting & Finance

World Wide Technology Holding, LLC Remote 🇺🇸 Remote

Remote

2mo ago Closed

$112k - $140k/yr Full time Senior Apigee Business Analytics

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

A senior data engineer focused on building and maintaining data pipelines, ETL processes, and data models to enable data driven decision making across the organization, collaborating with analytics professionals, architects, and data scientists within the IT Analytics Delivery group.

Responsibilities

Collaborate with a multi disciplinary team of solution architects and data scientists within the IT Analytics Delivery group to address a broad set of business problems.
Architect and maintain data pipelines and ETL processes, build integrations, and develop complex data models to support data driven decision making across all functional areas.
Execute all phases of the data engineering project lifecycle independently.
Develop subject matter expertise across multiple business domains and apply technical skills to solve complex problems.
Communicate effectively with business stakeholders to drive project success and mentor team members.
Support analytics partners embedded in the business by delivering data to analysts across the company.
Be an engaged, collaborative team member and take full ownership of work to exceed customer expectations.
Work with analysts, developers, and data architects to ensure requirements are met and performance is optimized.
Consult on design, development, and implementation of innovative solutions to complex data issues that enhance traditional star schema structures.
Demonstrate data engineering expertise and deliver multiple end to end data warehouse projects in a Big Data environment.
Provide production support, debugging issues across several reporting toolsets.
Operate in an agile team to plan, design, test, and coordinate end to end delivery of solutions.
Seek opportunities to broaden skills both functionally and technically.
Design, create, and implement complex data models including canonical, conceptual, logical, and physical models.
Apply new design methodologies and best practices.
Build, scale, and maintain data infrastructure and data products.
Implement physical database models and tune SQL for optimal performance.
Use ANSI SQL and PL/SQL for data analysis.
Develop the infrastructure for efficient extraction, transformation, and loading from diverse sources using SQL and big data technologies.
Adapt to a matrix based, geographically distributed project team environment.

Requirements

Bachelor's degree in Computer Science or 5+ years of progressive related experience.
5+ years of experience in analytics, SQL, and/or ETL development.
Proficiency in data warehousing, BI development, and data modeling.
5+ years building large scale data sources in Oracle or an equivalent relational database.
3+ years' experience with API platforms such as MuleSoft or APIGee and ELT platforms such as Matillion or Informatica.
Excellent SQL skills with PL/SQL development experience.
Hands-on development experience with an ETL tool; Oracle Data Integrator preferred.
Hands-on experience with Oracle Cloud reporting and data replication; BI Cloud Connector Console, BI Publisher, and OTBI preferred.
Strong analytical and problem solving capabilities.
Experience with BI tools such as Tableau or Power BI.
Programming skills in Java, Scala, and Python.
Experience with CI/CD pipelines and tools such as Jenkins and Git.
Understanding of analytics platforms, use cases, and best practices.
Experience with multiple data stores including RDMS, flat files, and columnar databases.
Solid knowledge of dimensional modeling, data lakes, and data vault.
Experience in cloud based environments and SaaS models.
Experience with cloud warehousing products such as Databricks, Snowflake, and Redshift.
Experience with MS Power Platform and Azure cloud environments.
Experience designing data architecture and pipelines.
Proficiency in performance tuning and debugging.
Ability to thrive in a fast paced environment with emphasis on customer satisfaction.
Travel up to 10 percent (domestic and international).
Must be authorized to work in the United States; no sponsorship available.

Technologies

Oracle, MuleSoft, APIGee, Matillion, Informatica, Oracle Data Integrator
BI Cloud Connector Console, BI Publisher, OTBI
Tableau, Power BI
Java, Scala, Python
Jenkins, Git
Databricks, Snowflake, Redshift
MS Power Platform, Azure
Oracle Cloud, SQL, PL/SQL

Benefits

Health and Wellbeing: Health, Dental, and Vision Care; Onsite Health Centers; Employee Assistance Program; Wellness program
Financial Benefits: Competitive pay; Profit Sharing; 401k Plan with Company Matching; Life and Disability Insurance; Tuition Reimbursement
Paid Time Off: PTO and Sick Leave (starting at 20 days per year) and Holidays (10 per year); Parental Leave; Military Leave; Bereavement
Additional Perks: Nursing Mothers Benefits; Voluntary Legal; Pet Insurance; Employee Discount Program

Location

Remote location is acceptable; St. Louis, Missouri strongly preferred.

What will you be doing?

As a Senior Data Engineer, you will collaborate with a multi disciplinary team of solution architects and data scientists on a wide range of business problems. You will be an integral part of the IT Analytics Delivery group, responsible for building capabilities across business strategy, analytics, and Cloud.
The role's primary focus will be on architecting and maintaining data pipelines and ETL processes, building integrations, and developing complex data models to support data driven decision making across all functional areas.
Independently execute on all phases of the Data Engineer project lifecycle.
Gain subject matter expertise in various business domains and apply technical expertise to solve complex problems.
Communicate effectively with business stakeholders for successful project execution.
Mentor team members and contribute to a collaborative team culture.

Travel and Work Authorization

Domestic and international travel up to 10 percent. Must be authorized to work in the United States; visa sponsorship is not available.

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Scala Finance Jobs

Senior Data Engineer - Financial Transactions & Automation

Lead Data Engineer (Finance Tech)

Senior Data Engineer - Project Accounting & Finance

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