POSITION OVERVIEW

The Data Software Engineer plays a key role in building and evolving a modern enterprise data platform in a cloud-first environment. This role partners with analysts, data scientists, software engineers, and business stakeholders to deliver trusted, secure, and high-quality data solutions that power analytics, operational reporting, and emerging AI use cases. The position offers the opportunity to work across Snowflake, AWS, and modern engineering tooling to develop scalable pipelines, reusable platform capabilities, and reliable production processes with strong emphasis on automation, observability, and continuous improvement.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The following and other duties may be assigned as necessary:

• Partner with business and technology teams to turn data, reporting, and platform needs into scalable solutions and prioritized engineering work
• Design, build, and support batch and near-real-time data pipelines, data products, and integration workflows using Snowflake, AWS, and approved enterprise technologies
• Write clean, maintainable code in SQL, Python, and related languages while following engineering standards, code review practices, and automated testing
• Develop data transformation, modeling, and orchestration patterns that improve usability, consistency, performance, and speed to delivery
• Strengthen platform reliability through monitoring, alerting, logging, data quality checks, and effective production support
• Contribute to CI/CD, infrastructure automation, and environment management practices that improve delivery speed, consistency, and security
• Apply governance, lineage, security, and privacy standards throughout the data development lifecycle
• Troubleshoot pipeline failures, performance issues, schema changes, and data defects across development, test, and production environments
• Create clear technical documentation, operational runbooks, and engineering standards that improve maintainability and team knowledge sharing
• Collaborate across platform, application, analytics, and product teams to expand reusable components and advance data platform maturity
• Perform other duties as assigned

QUALIFICATION REQUIREMENTS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 21 years of age.

• Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience
• Three (3)+ years of experience in data engineering, software engineering, analytics engineering, or a related technical discipline
• Hands-on experience building and supporting production data pipelines, integration workflows, and data transformations using SQL and Python
• Experience with cloud-native data platforms and services, preferably AWS and Snowflake
• Understanding of data modeling, ETL/ELT patterns, orchestration, and data lifecycle management for analytics and operational use cases
• Working knowledge of modern software delivery practices, including version control, code review, testing, CI/CD, and Agile methods
• Ability to troubleshoot and support production workloads with attention to reliability, performance, and root cause analysis
• Understanding of data quality, governance, lineage, security, and privacy principles in enterprise environments
• Strong analytical, problem-solving, and communication skills, with the ability to work effectively with technical and non-technical stakeholders
• Must be willing and able to work a flexible schedule to include holidays, nights, and weekends
• Work in a fast-paced, busy, and somewhat stressful environment

PREFERRED SKILLS

• Experience delivering modern data engineering solutions in Snowflake- and AWS-based environments that support analytics, operational reporting, or AI/ML use cases
• Experience with transformation and orchestration tools such as dbt, Airflow, or comparable enterprise workflow platforms
• Experience with AWS services such as S3, Lambda, EC2, CloudWatch, containerized workloads, or other cloud-native compute and monitoring services
• Knowledge of Snowflake capabilities such as Snowpipe, task-based orchestration, performance optimization, data sharing, and governance features
• Experience with data quality, observability, lineage, metadata, or cataloging practices in production environments
• Knowledge of infrastructure as code, automated deployment practices, and environment standardization for data platforms
• Experience with streaming, event-driven, or near-real-time data patterns is a plus
• Strong engineering fundamentals, including data modeling, system design, testing, performance tuning, and secure software development practices

SUPERVISORY RESPONSIBILITIES

This position does not have supervisory responsibilities.

DIVERSITY COMMITMENT

Fontainebleau Las Vegas is committed to ensuring an inclusive space and sense of belonging for our Members. We believe our workforce should reflect the vast diversity of the communities we serve, and that diverse voices should be intentionally integrated into our work. We foster a culture of difference and diversity of identity, experience, and perspective, while actively striving for inclusive behaviors across our Company. By promoting these values and continuously pushing for better, we aim to create a positive work environment that encourages equality, inclusion, empowerment, and respect.

CERTIFICATES, LICENSES, REGISTRATIONS

Member must be able to qualify for licenses and permits required by federal, state, and local regulations.

LANGUAGE SKILLS

Ability to read and interpret documents in English, such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to read and communicate verbally in English. Written communication skills in English may also be required.

REASONING ABILITY

Ability to apply commonsense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by a Member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the Member is regularly required to stand and use hands and fingers to handle or utilize objects, tools, or controls. The Member frequently is required to reach with hands and arms and talk or hear. Specific vision abilities required by this job include close vision and peripheral vision.

The Member must regularly lift and/or move up to 10 pounds, frequently lift and/or move up to 25 pounds, and occasionally lift and/or move up to 50 pounds, and must have the ability to push, pull, reach, bend, twist, stoop, stack, crouch, kneel and balance when performing job duties in varying work areas such as confined spaces.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those a Member encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Member could be exposed to an environment containing unrestricted secondhand tobacco smoke.

PAY TRANSPARENCY

Fontainebleau Las Vegas believes in developing and supporting our talent into the future. Our compensation program is designed to attract, motivate, and retain talented Members who are the driving force behind the Company's success. We strive to provide market-competitive compensation. Salary will be commensurate with experience and skill set, considering a candidate's qualifications, skills, competencies, and experience, as well as internal equity and market data alignment.

In alignment with our Company culture, we will strive to communicate openly about the goals of the Company and the design of the compensation program. The compensation process is designed to be fair and simple so that all Members and managers understand the Company's goals and future career development opportunities for upward mobility.