> Markdown version of [/jobs/ext/629361-data-engineer](https://www.wearedevelopers.com/jobs/ext/629361-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). --- # Data Engineer - **Company:** Prizepicks Llc - **Location:** Miami, FL, United States (Remote available) - **Salary:** $105,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Unit Testing, Microsoft Azure, BigQuery, Code Coverage, Code Review, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Data Streaming, Google Cloud, Cloud Platform System, Apache Spark, Containerization, Kubernetes, Information Technology, Apache Kafka, Terraform, Data Pipelines - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=55fa1a739f4dfcad ## About the Role Do you have experience in SQL?, Do you have a Bachelor's degree?, * A bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent hands-on experience * Good knowledge of Python - you can write a script, work with data structures, and follow a coding style guide * Experience working with cloud environments (GCP, AWS, Azure) * Familiarity with SQL - you can write queries, understand joins, and read a schema * Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar * Curiosity about how data moves through systems and a desire to understand the full stack * Clear written and verbal communication skills - you can explain what you're working on and flag when you're stuck * Ownership mindset: takes responsibility for assigned tasks and follows through reliably, * Exposure to GCP * Familiarity with a workflow orchestration tool (Airflow, Argo, etc.) * Experience with Big Query, dbt, Spark, Kafka, or Iceberg * Experience with containerization or Kubernetes * Experience with Infrastructure as Code tooling (Terraform, CrossPlane), You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. ## Description We are looking for a Data Engineer 1 to join our Data Engineering team and help build the data infrastructure that powers analytics, machine learning, and business decision-making at PrizePicks. This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern lakehouse platform., * Develop and execute well-defined data engineering tasks - creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards * Orchestrate data flow through PrizePicks' medallion lakehouse architecture: Landing-Bronze-Silver-Gold * Deploy, execute, and monitor data jobs and workflows, respond to failures following established runbooks during oncall, * Author robust Python and SQL code following team conventions, with guidance on style, structure, and testing * Adhere to team standards for model organization, naming, and documentation * Conduct code reviews - give and receive feedback constructively * Implement unit tests and adopt what good test coverage looks like for data pipelines, * Own assigned pipeline tasks - follow through, communicate blockers early, and see work to completion * Collaborate actively in agile rituals and team discussions * Document technical builds: models, runbooks, and decisions. Share learnings with the team. * Partner with Analytics, MLE, and Product stakeholders to understand how the data you produce gets used and find opportunities to better serve stakeholders. ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)