Associate Data Engineer

The Leading Hotels of the World

. Build, maintain, and optimize data pipelines for ingestion, transformation, and delivery .

Posted 9/28/2026full-timeNew York City • New York • United StatesJuniorMid-Level💰 $100,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and optimizing data pipelines, with strong skills in SQL and experience in data modeling and ETL/ELT processes. Familiarity with modern data platforms and AWS technologies is essential for ensuring data quality and governance.

Highest-signal resume keywords

SQL ProficiencyData Pipeline OptimizationETL/ELT ProcessesAWS Technology StackData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingETL ProcessesData WarehousingData Quality ChecksPerformance OptimizationData GovernanceDebugging Data IssuesData Architecture Documentation

Soft Skills

Problem-SolvingAttention to DetailClear CommunicationCollaborationAdaptability

Tools & Technologies

SnowflakeBigQueryRedshiftDbtAirflowAWS GlueAmazon S3Amazon RedshiftAmazon Aurora MySQLSpark

Industry Keywords

Data EngineeringAnalytics EngineeringDataOpsData ProductsData Pipelines

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryETLMySQLPythonSparkSQL

About the role

Key responsibilities & impact

Build, maintain, and optimize data pipelines for ingestion, transformation, and delivery
Develop and maintain data models supporting reporting and analytics use cases
Contribute to reliable, reusable data products
Support onboarding of new data sources
Write efficient, scalable SQL queries and contribute to performance optimization
Monitor and troubleshoot data pipelines for reliability, performance, and accuracy
Implement and support data quality checks and validation processes
Apply established data governance standards within data engineering workflows
Document data architecture, pipelines, and workflows
Work cross-functionally with business and technology teams to deliver timely, high-quality data
Contribute to DataOps processes and data engineering standards and best practices
Assist in evaluating new tools and technologies

Requirements

What you’ll need

Bachelor’s degree (BS) in Computer Science, Engineering, or related field
2–4 years of experience in data engineering, analytics engineering, or a related technical role
Strong proficiency in SQL and working knowledge of Python or a similar language
Solid understanding of ETL/ELT processes, data modeling, and data warehousing concepts
Hands-on experience with at least one modern data platform or tool, such as Snowflake, BigQuery, Redshift, dbt, or Airflow
Experience with or exposure to the AWS technology stack, including AWS Glue, Amazon S3, Amazon Redshift, and Amazon Aurora MySQL
Experience with or exposure to Spark
Experience debugging data issues and working with production data pipelines
Strong problem-solving skills and attention to detail
Ability to manage tasks independently and prioritize in a fast-paced environment
Clear communication skills and ability to collaborate across technical and non-technical teams
Ability to demonstrate LHW’s performance drivers: Accountability, Adaptability, Collaboration, Curiosity, and Empathy

Benefits

Comp & perks

22 days of Paid Time Off (PTO)
11 paid holidays, including birthdays as a floating holiday
Medical coverage available within the first month
Health Savings Account (HSA) with Company contribution
401(k) company match up to 4% of salary
Up to $500 for home office setup credit
Up to $500 travel credit
Unlimited access to financial advisors
Collaborative and inclusive work environment