Software Engineer

Dallas, TX, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Company Branding Image
Fitment

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Job Details

Skills

  • Automated Testing
  • Workflow
  • Collaboration
  • Debugging
  • Computer Science
  • Python
  • Writing
  • Scripting
  • Data Engineering
  • Storage
  • DevOps
  • Git
  • Continuous Delivery
  • GitHub
  • GitLab
  • Continuous Integration
  • Docker
  • Kubernetes
  • Machine Learning (ML)
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Databricks
  • Snow Flake Schema
  • Apache Kafka
  • Apache Spark
  • Testing
  • Quality Assurance
  • Artificial Intelligence
  • Software Engineering

Summary

Job Description

We're building a greenfield data platform and looking for an entry level Data Engineer to join our Automations team. This team sits at the intersection of data engineering and platform engineering - we own the DevOps, AI agent tooling, and test automation layer that makes the rest of the platform reliable and fast to iterate on. If you're early in your career and excited about building things the right way from day one, this is a rare opportunity to shape something from the ground up.

Core Responsibilities:
Help design, build, and maintain CI/CD pipelines and infrastructure-as-code for a modern data platform
Develop and maintain automated test suites to validate data pipelines, transformations, and platform components
Contribute to AI agent workflows that automate operational and data tasks
Collaborate with senior engineers to establish DevOps patterns and best practices on a greenfield codebase
Monitor, debug, and improve platform reliability and observability
Other duties as assigned.

Required Knowledge, Skills, and Abilities:
Bachelor's degree in computer science, Engineering, or a related field or equivalent practical experience
Familiarity with Python and comfort writing scripts to automate tasks
Basic understanding of data engineering concepts (pipelines, transformations, storage)
Exposure to DevOps tooling such as Git, CI/CD systems (GitHub Actions, GitLab CI, etc.), or containerization (Docker, Kubernetes)
Curiosity about AI/ML tooling and automation - prior experience is a plus, not a requirement
Strong willingness to learn; experience with greenfield or 0-to-1 projects is a bonus

Desired Knowledge, Skills, and Abilities:
Experience with a cloud platform (AWS, Google Cloud Platform, or Azure)
Familiarity with data tools such as Databricks, Snowflake, Kafka, Spark, or similar
Exposure to testing frameworks or quality engineering practices
Any experience with LLM APIs or AI agent frameworks
Minimum Required Education & Experience:
Bachelor's degree in data or software engineering or a related field or equivalent.

#LI-Hybrid
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1a6d2c
  • Position Id: 6444
  • Posted 7 hours ago

Company Info

About Cetera Financial Group, Inc.

Advancing What's Next

Cetera Financial Group, Inc. is transforming how advisors guide individuals and families to achieve financial well-being at every stage of their lives.

We’re enablers. Mentors. Dream builders. Our purpose is to turn financial aspirations into reality. Within our community lies a vibrant wellspring of growth and opportunity for financial professionals, financial institutions, and individual investors alike. As a premier financial services firm, we don’t just deliver financial technology, bespoke guidance, research and market intelligence, and collaborative client-service platforms. We build environments where ideas thrive, connections flourish, and ambitions become remarkable achievements. Driven to deliver unwavering support and innovative solutions to help people live their purpose, we empower each other and the communities around us to bring a stronger tomorrow to life.

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