> Markdown version of [/jobs/ext/3052327-software-engineer-iv](https://www.wearedevelopers.com/jobs/ext/3052327-software-engineer-iv). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer IV - **Company:** StanCorp Financial Group - **Location:** Portland, OR, United States - **Experience:** Expert - **Salary:** $131,750.0 - $223,500.0 - **Contract:** Permanent contract - **Skills:** Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Development, Operational Databases, Performance Tuning, Power BI, SQL Databases, Data Processing, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Deployment Automation, Software Coding, Software Version Control, Data Pipelines, Databricks - **Published:** September 24, 2026 - **Apply:** https://standard.wd1.myworkdayjobs.com/Search/job/Portland-OR/Software-Engineer-IV_REQ006993 ## About the Role A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we've been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?, We are seeking an experienced Software Engineer IV professional with at least 10 years of hands-on experience designing, developing, and supporting enterprise-scale data solutions. The ideal candidate will have deep technical expertise in SQL, Snowflake, dbt, Sisense and Databricks, with strong experience building ETL/ELT pipelines, real-time and batch data processing solutions, data transformations, and production-grade data integrations. This position requires a highly technical, hands-on engineer who can design solutions as well as develop, troubleshoot, optimize, and support complex data pipelines. Skills and Background You'll Need Education: A Bachelor's degree in computer science, Information Technology, Engineering, or a related degree is preferred. Experience: 10+ years of overall hands-on data engineering experience. Strong experience working in complex enterprise environments. Experience supporting business-critical and high-volume production data platforms. Ability to work across architecture, development, infrastructure, application, and business teams. * 10+ years hands-on Data Engineering / Database Development * Advanced SQL coding and performance tuning * Snowflake, hands-on development * dbt development and data transformation * Databricks / Spark / PySpark / Delta Lake * ETL/ELT pipeline design and development * Real-time/near-real-time and CDC processing * Large-volume enterprise data processing * Production troubleshooting and performance optimization * Strong hands-on coding skills, not architecture-only experience * CI/CD and automated deployment practices * Git/version control * BI Tool - PowerBI , Sisense * Strong analytical, problem-solving, and technical communication skills. * Experience working in Voluntary Insurance Business is preferred. Key Behaviors of a Successful Candidate * Adaptability: Sees possibilities in changing circumstances, accepts and understands change, and adjusts quickly to changing priorities and business needs. * Collaboration: Builds positive relationships, partners effectively with colleagues and stakeholders, and contributes to shared goals. * Improvement Mindset: Identifies opportunities to improve processes, tools, and efficiencies while supporting innovation and operational excellence. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?](https://www.wearedevelopers.com/videos/1017-next-level-enterprise-architecture-modular-flexible-scalable-multichannel-and-ai-ready) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know) - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development)