> Markdown version of [/jobs/ext/2043998-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2043998-senior-data-engineer). 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). --- # Senior Data Engineer - **Company:** BRISCO CONTRACTING LLC - **Location:** Dover, DE, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Airflow, BigQuery, Continuous Integration, Information Engineering, Cursor (Graphical User Interface Elements), Distributed Computing Environment, Github, Python (Programming Language), SQL Databases, Data Streaming, Google Data Studio, Snowflake, Apache Spark, Dask, Apache Kafka, Vertica, Terraform, Docker, Databricks - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/job/us57eaf62af536a476d0171b2cb952574d/eaa ## About the Role We expect at least 3 years hands-on in data engineering or a similar role. You do not need to tick every box. If you are curious, adaptable and quick to learn, we want to hear from you. Essential * Advanced Python and SQL. You can write, read and optimise real queries, not just get them to return rows * dbt or equivalent transformation tooling in production * Orchestration in production: Airflow, Dagster or Prefect * Solid data modelling: warehouses, lakes, lakehouses, and knowing which one the problem needs * A cloud analytical warehouse. BigQuery preferred, Snowflake, Redshift or ClickHouse also fine * AI-native workflow. You use AI coding tools daily and can walk us through a specific recent example: what you asked, what came back, what you had to fix * English B2/C1 minimum * 4h overlap with EU working hours Desirable * Consumer-facing, high-volume commercial domain: DTC, retail, marketing or martech, gaming, subscription commerce. You know why attribution, cohorting and LTV matter * Databricks or distributed processing (Spark, Polars, Dask) * Streaming and near-real-time (Pub/Sub, Kafka) * Docker, Terraform, CI/CD for data workflows * Portuguese ## Description You build and run the pipelines, models and warehouse the commercial side makes decisions off. Python, SQL, dbt, Airflow, BigQuery. Four years plus, hands-on, AI already in your daily workflow. You will be the third person on a two-person data team, with no layers between you and the decisions. Fully remote, EU or LATAM, minimum 4h EU overlap., * Build and run the pipelines, models and warehouse that the commercial side makes decisions off * Own reliability and cost of what you build, not just the happy path * Work hands-on with BigQuery, dbt, Airflow and dlt * Use AI in your daily workflow, not as a side experiment * Join a two-person data team that is about to grow, with real ownership from week one This is an individual contributor role. Nobody reports to you and nobody will scope your work for you. What Will You Do? Build and run the platform Ingestion, transformation, modelling and serving. Fivetran and custom extracts in, dbt in the middle, BigQuery and Metabase out, Airflow holding it together. You build it, you run it. Model data the business can actually use Attribution, cohorts, LTV, conversion, returns, fulfilment. You will work directly with marketing, finance and operations, translate what they are asking for into datasets that answer the question, and push back when the question is wrong. Own reliability Tests, monitoring, alerting, freshness, and fixing your own breakages. If someone finds a broken number before you do, that is a miss. Watch the money Warehouse and tooling cost is part of the job. You should know what your queries and pipelines cost and care about it. Make the business self-serve The goal is fewer ad-hoc requests over time, not more. Documented models, sensible semantics, dashboards people trust. Ship with AI Claude Code, Cursor, Copilot, whatever your tools are. They are part of how you work daily and they make you meaningfully faster. Our Stack Python, SQL, BigQuery, dbt-core, Airflow (on GKE), Fivetran, GCS, Databricks, Metabase, Looker Studio, Docker, Terraform, GitHub Actions, Linear, Notion. You do not need to know all of it. Smart people learn the stack fast. ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)