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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer / Data Analyst - **Company:** Insight Global - **Location:** Bellevue, WA, United States - **Experience:** Experienced - **Salary:** $89,440.0 - $112,320.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Automation of Tests, Software Quality, Code Review, Computer Engineering, Continuous Integration, Information Engineering, Data Warehousing, Dimensional Modeling, Python (Programming Language), Operational Databases, Cloud Services, SQL Databases, Data Streaming, Data Processing, Snowflake, Apache Spark, Git, Data Lakes, Information Technology, Cloudwatch, Terraform, Software Version Control, Data Pipelines, Amazon Redshift, Databricks - **Published:** June 19, 2026 - **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/washington/bellevue/data-engineer-data-analyst/job-543211/ ## About the Role · 4+ years developing cloud solutions as a Data Engineer · Bachelor's Degree in Computer Science, Computer Engineering, or a related field · Clear and concise verbal and written communication; ability to communicate technical concepts to non-technical people · Proven experience developing solutions with: § AWS (Redshift, S3, Step Functions, Eventbridge, CloudWatch) § Databricks (Spark, Delta Lake, Apache Iceberg, Unity Catalog) § Snowflake · Strong proficiency in SQL to write and optimize performance of large-scale analytics queries · Strong proficiency in Python for custom data processing · Familiarity with CI/CD, version control (Git), and automated testing for data pipelines · Familiarity with Infrastructure as Code (Terraform, or similar) · Solid understanding of data warehousing and dimensional modeling · Ability to write detailed and comprehensive testing documentation. Strong focus on code quality with the ability to design and execute thorough tests. · Ability to manage work across multiple projects, good organizational skills · Ability to quickly learn new technologies and understand data flows and business concepts. · Excellent problem-solving skills, attention to detail, and the ability to work independently. · Proven track record of proactively identifying, performing root cause analysis on, and mitigating production data issues. · Ability to conduct effective code reviews. · Ability to interview without use of AI tools Nice to Have Skills & Experience · Hands-on experience integrating AI tools/solutions into data workflows to improve efficiency, automation, or developer productivity ## Description The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required., · Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake · Ingest, transform, and curate data from multiple sources · Optimize solutions for performance, reliability, scalability, and cost · Implement data quality checks, monitoring, and observability for production pipelines · Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence · Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights · Collaborate with analytics and business teams to deliver trusted datasets · Mentor other team members in their efforts to build data engineering skillsets · Assist team management in defining projects, including helping estimate, plan and scope work · Prepare and contribute to presentations required by management ## Related Videos - [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) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [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) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)