On W2 Candidates & Locals (NO C2C) :: Sr. Data Engineer/ Lead in Austin, TX or Seattle, WA (Hybrid Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer/Lead in Austin, TX or Seattle, WA (Hybrid), with a contract length of "unknown" and a pay rate of "unknown." Requires 5+ years in development, expertise in AWS, Python/Java, and experience with data pipelines and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Corp-to-Corp (C2C)
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Processing #AWS EC2 (Amazon Elastic Compute Cloud) #Java #Batch #AWS (Amazon Web Services) #Big Data #Kafka (Apache Kafka) #S3 (Amazon Simple Storage Service) #Stories #Programming #Data Ingestion #Redshift #HDFS (Hadoop Distributed File System) #Data Modeling #Automation #Storage #Data Pipeline #Database Design #"ETL (Extract #Transform #Load)" #Hadoop #Databases #SQL (Structured Query Language) #Agile #Data Framework #Python #Lambda (AWS Lambda) #DynamoDB #Data Engineering #SQS (Simple Queue Service) #NoSQL #Unit Testing #EC2
Role description
Responsibilities:
• Develop various facets of data capture, data processing, storage, and distribution.
• Understand and apply AWS standard methodologies and products (compute, storage, databases).
• Translate marketing concepts/requirements into functional specifications.
• Write clean, maintainable, and well-tested code.
• Propose new ways of doing things and contribute to the system architecture.
• Manage ETL data to and from client’s entities to third party solutions.
Skills Required:
• 5+ years of development experience, particularly in using marketing acquisition technologies to deliver automation of multiple channels and drive operational efficiencies.
• 4+ years’ experience with programming languages such as Python or Java stack.
• Experience building data pipelines from multiple sources including APIs, CSV, event streams, NoSQL, etc. using distributed data frameworks.
• Experience with different aspects of data systems including database design, data ingestion, data modeling, unit testing, performance optimization, SQL etc.
• Demonstrable history creating on and leveraging AWS.
• Experience in batch and/or stream processing (using Spark) and streaming systems/queues such as Kafka or SQS.
• Daily practice of agile methods including use of sprints, backlog, user stories.
• Experience with AWS ecosystem or other big data technologies such as EC2, S3, Redshift, Batch, AppFlow.
• AWS: EC2, S3, Lambda, DynamoDB, Cassandra, SQL.
• Hadoop, Hive, HDFS, Spark, other big data technologies.
• Understand, Analyze, design, develop, as well as implement RESTful services and APIs.
Responsibilities:
• Develop various facets of data capture, data processing, storage, and distribution.
• Understand and apply AWS standard methodologies and products (compute, storage, databases).
• Translate marketing concepts/requirements into functional specifications.
• Write clean, maintainable, and well-tested code.
• Propose new ways of doing things and contribute to the system architecture.
• Manage ETL data to and from client’s entities to third party solutions.
Skills Required:
• 5+ years of development experience, particularly in using marketing acquisition technologies to deliver automation of multiple channels and drive operational efficiencies.
• 4+ years’ experience with programming languages such as Python or Java stack.
• Experience building data pipelines from multiple sources including APIs, CSV, event streams, NoSQL, etc. using distributed data frameworks.
• Experience with different aspects of data systems including database design, data ingestion, data modeling, unit testing, performance optimization, SQL etc.
• Demonstrable history creating on and leveraging AWS.
• Experience in batch and/or stream processing (using Spark) and streaming systems/queues such as Kafka or SQS.
• Daily practice of agile methods including use of sprints, backlog, user stories.
• Experience with AWS ecosystem or other big data technologies such as EC2, S3, Redshift, Batch, AppFlow.
• AWS: EC2, S3, Lambda, DynamoDB, Cassandra, SQL.
• Hadoop, Hive, HDFS, Spark, other big data technologies.
• Understand, Analyze, design, develop, as well as implement RESTful services and APIs.
