Principal Data Engineer

The Leaflet

Data Engineer driving innovation and maintaining data deliverables for Hard Rock Digital. Collaborating on all aspects of real money gaming and ensuring data automation.

Posted 7/9/2026full-timeFlorida • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL, Python, and data pipeline automation, with a strong focus on leveraging AI to enhance data processes. Proven ability to manage large datasets and deliver high-quality, timely data solutions in a collaborative environment.

Highest-signal resume keywords

SQL SkillsPython ProgrammingData Pipeline AutomationExperience with SnowflakeAWS Cloud Technologies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonJinja TemplatingDBTSparkData Science PackagesStreaming TechnologiesMessage QueuesAutomation of Data ProcessesData Manipulation

Soft Skills

Strong Communication SkillsCollaboration Skills

Tools & Technologies

SnowflakeAirflowAWS ServerlessGitLinux DevelopmentMavenSBTGradleAmazon KinesisKafka

Industry Keywords

Data Life CycleAgile DevelopmentRegulated Environment

Tech Stack

Tools & technologies

AirflowAWSCassandraCloudDynamoDBGradleKafkaLinuxMavenMySQLNoSQLNumpyPandasPythonRabbitMQScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Be a strong technical person on our team who helps drive innovation
Be responsible for producing and maintaining critical data deliverables / pipelines
Be technically talented, able to contribute quality code
Be responsible for the quality, scope, and timeliness of all your deliverables

Requirements

What you’ll need

Degree in computer science, a related field, or equivalent work experience (10+ years)
Strong communication and collaboration skills (both written and verbal)
Experience using AI to enhance the full data life cycle
Proven track record at using technology to automate data processes
Strong SQL skills, including Jinja templating / DBT
Experience with Snowflake and Airflow (Astronomer)
Experience in environment using dbt and Snowflake
Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn)
Experience manipulating, processing and extracting value from large, disconnected datasets (Spark)
An understanding of AWS Cloud technologies and how to create scalable applications
Exposure to and interest in the following technologies: AWS Serverless and serverless-supported languages
SQL and/or NoSQL experience (ex, MySql, Cassandra, DynamoDB, Snowflake)
Streaming technologies (Amazon Kinesis, Kafka)
Message Queues (SQS, RabbitMQ, ActiveMQ)
Comfort working within an agile development cycle and exposure to: Linux development
Git and versioning software
Build systems (Maven, SBT, Gradle, etc) and common build patterns
Experience automating data flows and reporting in a regulated environment a plus

Benefits

Comp & perks

Competitive pay and benefits
Flexible vacation allowance
A hybrid / remote working environment
Startup culture backed by a secure, global brand