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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Warehouse Software Engineer I - **Company:** Babel - **Location:** Somerville, MA, United States (Remote available) - **Experience:** Starter - **Salary:** $70,000.0 - $80,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, BigQuery, Directed Acyclic Graph (Directed Graphs), Data Integrity, Extract Transform Load (ETL), Data Mart, Data Warehousing, Relational Databases, Python (Programming Language), Query Optimization, Power BI, Standard Sql, SQL Databases, Tableau (Software), Google Cloud, Git, Data Lakes, Core Data, Google Bigquery, Looker Analytics, Software Version Control, Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2c09010afa53983f ## About the Role Do you have experience in Version control systems?, * Foundational SQL Skills: Strong command of SQL (joins, aggregations, and familiarity with window functions). * Data Warehouse Exposure: A solid conceptual understanding of relational databases, ETL/ELT concepts, and standard data warehousing structures (tables, views, and data lakes). * BI / Looker Experience: Hands-on experience or academic exposure to building dashboards in Looker (or similar BI tools like Tableau/PowerBI). * Basic Python & Git: Familiarity with Python for basic scripting/automation and comfort using Git for version control. * The Mindset (Self-Starter): A proactive learner who takes initiative to solve problems and figures out how things work. * Analytical Nature: The ability to look at a business problem, analyze the underlying data requirements, and implement a structured solution. * Attention to Detail: Deep care for data quality-you are someone who double-checks your query results and takes pride in data accuracy. ## Description We are looking for a motivated Software Engineer I to join our data team! In this role, you will help build, maintain, and support our core data warehouse solutions on Google Cloud Platform (GCP). You will collaborate closely with data analysts and business stakeholders to translate reporting requests into clean data models and Looker dashboards. This is an entry-level position perfect for a self-starter who possesses strong foundational SQL skills, an eye for business analysis, and sharp attention to detail. This would be a hybrid role out of one of our 3 US offices - Somerville, MA, Reston, VA , Chagrin Falls, OH or potentially fully remote for candidates outside those areas., * Data Pipelines & Modeling: Assist in building and maintaining data models and tables inside Google BigQuery. Help write and update foundational SQL transformation logic to support business analytics. * Business Analysis & Collaboration: Partner with analysts and business stakeholders to understand their data and reporting needs, translating those requirements into clean, structured tables and views. * Business Intelligence: Build, manage, and optimize Looker dashboards and reports, ensuring business users can easily access actionable data. * Data Quality & Attention to Detail: Ensure data integrity and consistency across data marts by writing validation queries and row-count checks to catch discrepancies early. * Pipeline Monitoring: Help monitor and maintain basic Apache Airflow (Cloud Composer) DAGs written in Python, ensuring daily data loads run smoothly. * Performance Basics: Learn and apply standard query optimization techniques, including BigQuery partitioning and clustering best practices. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)