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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # REMOTE Sr Data Engineer - **Company:** Insight Global - **Location:** Zionsville, IN, United States - **Experience:** Expert - **Salary:** $124,800.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Data Architecture, Data Validation, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Operational Databases, Software Tools, Cloud Services, SQL Databases, Enterprise Data Management, Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Git, Data Pipelines, Databricks - **Published:** August 15, 2026 - **Apply:** https://dejobs.org/x/x/80CB3769C12840DF86F86243E25556EA/job/ ## About the Role 5+ years of experience as a Data Engineer building and supporting production data pipelines, data modeling, data transformations and data optimization -Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures -Strong proficiency in Python, SQL, and Git within modern data environments -Experience with cloud data platforms and processing frameworks (Snowflake or Databricks, Spark) -Hands-on experience with analytics engineering tools such as dbt or Coalesce -Experience using DAG-based orchestration tools (Airflow or Dagster) and data quality frameworks -Strong problem-solving, communication skills, and curiosity about how data impacts business outcomes, with exposure to finance/insurance/annuity data - this role is EST hours- candidates preferred in CST/EST time zones ## Description Insight Global is seeking a Data Engineer to join a growing data and analytics team supporting a leading insurance and financial services organization. This individual will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and ensuring high-quality, reliable data is available across the business. The ideal candidate has experience working within modern cloud data environments and enjoys solving complex data challenges while partnering with stakeholders to drive business outcomes., Design, build, and support production-grade data pipelines and ETL/ELT processes. Develop and maintain data models, transformations, and architecture to support reporting, analytics, and operational use cases. Optimize data performance, quality, reliability, and scalability across enterprise data platforms. Build and manage data workflows using orchestration tools such as Airflow or Dagster. Implement data quality checks, monitoring, and governance best practices. Collaborate with analytics, engineering, and business teams to translate requirements into scalable data solutions. Support cloud-based data platforms and contribute to the evolution of modern data architecture. Partner with stakeholders to understand data needs and deliver solutions that support business objectives. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [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) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)