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# Data Engineer

- **Company:** Flutter Entertainment Plc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $116,000 - $145,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Code Review, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Scrum Methodology, Systems Development Life Cycle, Software Engineering, SQL Databases, Data Streaming, Scripting, Cloud Platform System, Apache Spark, Apache Kafka, Data Management, Software Version Control, Data Pipelines, Databricks, Programming Languages
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-new-york-ny--75d669a9-70ea-477f-a2c1-eb7de5ab5d16

## About the Role

Use Cases, Machine Learning, Systems Maintenance, Problem Solving Skills, Data Management, Business Operations, Scalable System Development, Operational Audit, Python Programming/Scripting Language, SQL (Structured Query Language), * 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.

 * Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
 * Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
 * Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
 * Experience working with cloud-based data platforms (AWS, GCP, or Azure)., * Experience supporting BI, analytics, or data science teams.
 * Familiarity with version control, CI/CD, and collaborative development workflows.
 * Exposure to data governance, privacy, or compliance practices.
 * Eagerness to learn new technologies and contribute to the growth of the team.

## Description

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you'll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.

If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN

Everyone on our team has a part to play

Build & Maintain Data Pipelines

 * Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
 * Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
 * Ensure data is reliable, accurate, and delivered in a timely manner
 * Deliver solutions supporting ML, DS, Analytics and AI use cases.

Collaborate Across Teams

 * Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
 * Translate business questions into engineering tasks and contribute to technical planning.
 * Participate in code reviews, sprint planning, and retrospectives as part of an agile team.

Data Quality & Operations

 * Monitor data pipelines and troubleshoot issues in a timely, systematic manner
 * Implement data quality checks and contribute to observability and testing practices
 * Document data sources, transformations, and architecture decisions to support long-term maintainability