

Data Engineer (US - Contract)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (US - Contract) for 12 months, offering $66 - $76 per hour. It requires 5+ years of development experience, proficiency in AWS, and expertise in PHP, Python, or Java. Location: Austin, TX (hybrid).
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
608
-
ποΈ - Date discovered
June 19, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
-
π - Location detailed
Austin, Texas Metropolitan Area
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π§ - Skills detailed
#EC2 #Databases #PHP #DynamoDB #HDFS (Hadoop Distributed File System) #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Stories #Agile #SQS (Simple Queue Service) #Hadoop #Spark (Apache Spark) #Data Engineering #"ETL (Extract #Transform #Load)" #Monitoring #Database Design #Storage #Data Framework #AWS EC2 (Amazon Elastic Compute Cloud) #Data Processing #NoSQL #Java #Python #SQL (Structured Query Language) #Automation #Big Data #S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Leadership #Data Pipeline #Batch #Scala
Role description
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Data Engineer (US - Contract)
Salary/Hourly Rate:
$66 - $76 per hour
Onsite/Remote:
Please note that this role is only available in the following locations: Austin, TX, in alignment with our flexible work model which requires employees to be in office at least three days a week (Tuesday β Thursday). We are unable to offer relocation assistance for this role.
Position Overview:
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Weβre building a more open world. Join us.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
Weβre looking for a Data Engineer to design and optimize data pipelines, leveraging AWS best practices. Youβll manage ETL processes, translate marketing requirements into technical specs, and develop scalable systems for data processing and storage. Collaborating with stakeholders, youβll propose innovative solutions and maintain utilities to scale marketing operations efficiently. This is a temporary 12-month assignment.
Responsibilities of the Data Engineer:
β’ Develop various facets of data capture, data processing, storage and distribution
β’ Understand and apply AWS standard methodologies and products (compute, storage, databases)
β’ Translate marketing concepts/requirements into functional specifications
β’ Write clean, maintainable and well-tested code
β’ Propose new ways of doing things and contribute to the system architecture
β’ Manage ETL data to and from Expedia Group entities to third party solutions
β’ Create and maintain functional utilities (SPAs) that provide point solutions to scale our marketing operations
β’ Develop scalable and highly performant distributed systems with everything this entails (availability, monitoring, resiliency)
β’ Communicate and document solutions and design decisions
β’ Work with business collaborators, analytics, and senior leadership to define and scope solutions that the marketing team can leverage to efficiently scale out our marketing operations
Qualifications of the Data Engineer:
β’ Bachelorβs degree or equivalent related professional experience
β’ A minimum of 5+ years of development experience, particularly in using marketing acquisition technologies to deliver automation of multiple channels and drive operational efficiencies
β’ A minimum of 4+ yearsβ experience with PHP, Python or Java stack
β’ Experience building data pipelines from multiple sources including APIs, CSV, event streams, NoSQL, etc. using distributed data frameworks
β’ Experience with different aspects of data systems including database design, data modelling, performance optimization, SQL etc
β’ Demonstrable history creating on and leveraging AWS
β’ Experience in batch and/or stream processing (using Spark) and streaming systems/queues such as Kafka or SQS
β’ Daily practice of agile methods including use of sprints, backlog, user stories
β’ AWS: EC2, S3, Lambda, DynamoDB, Cassandra, SQL experience
β’ Hadoop, Hive, HDFS, Spark, other big data technologies experience
β’ Understand, Analyze, design, develop, as well as implement RESTful services and APIs
Please note contractors are engaged to provide services to Expedia Group on a temporary basis in connection with a specific assignment. Contractors are hired and employed through Atrium, our third-party payrolling partner.
As a woman-owned firm, Atrium values diversity. We are an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
This job posting is for a temporary role as an employee of Atrium on assignment at Expedia. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.
No C2C or Third-Party Vendors