Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience, focusing on AWS technologies, data modeling, and ETL pipelines. Contract length is unspecified; pay rate is "unknown." Work is on-site in Arlington, VA or Bellevue, WA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
May 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Bellevue, WA
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🧠 - Skills detailed
#Perl #Scripting #Python #ML (Machine Learning) #MySQL #AWS (Amazon Web Services) #Storage #IAM (Identity and Access Management) #Data Engineering #AWS Glue #Lambda (AWS Lambda) #Data Stewardship #"ETL (Extract #Transform #Load)" #Database Systems #Databases #Oracle #Redshift #PostgreSQL #Big Data #SQL (Structured Query Language) #Data Modeling #Data Dictionary #Scala #Graph Databases #BI (Business Intelligence) #Leadership #S3 (Amazon Simple Storage Service) #Data Pipeline
Role description
Our client is seeking a Data Engineer to join their team. This role is based on-site at our client's location in Arlington, VA or Bellevue, WA.
Responsibilities:
• Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
• Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).
• Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via mechanisms.
• Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
• Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
• Provide guidance on data stewardship for teams onboarding to the central data systems.
Requirements:
• 5+ years of experience in data engineering
• Experience engineering, administering and managing multiple relational database flavors (e.g. Oracle, MySQL, SQLServer, PostgreSQL)
• Experience with large-scale data analytics and data warehousing
• Strong troubleshooting and problem-solving skills in high-pressure situations
• Understanding of overall system architecture, scalability, reliability, and performance in a database environment
• Experience working directly with customers, resolving database, systems and infrastructure-related issues and also providing systems architecture leadership
• 3+ years experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Ideal candidate would have one or more of the following certifications:
• AWS Certified SysOps Administrator Assoc.
• AWS Certified Developer Assoc.
• AWS Certified Solutions Architect Assoc.
• AWS Certified Data Engineer Assoc.
• AWS Certified Machine Learning Engineer Assoc.
• Experience analyzing issues holistically, from the application tier through the database, down to the infrastructure
• Working knowledge of at least one scripting language (shell, Python, Perl).
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Proven experience as a Data Engineer with a track record of building data solutions from the ground up
• Coding skills in the procedural language for at least one database engine a must (PL/SQL, T-SQL, redshift SQL, Postgres SQL etc.)
Our client is seeking a Data Engineer to join their team. This role is based on-site at our client's location in Arlington, VA or Bellevue, WA.
Responsibilities:
• Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
• Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).
• Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via mechanisms.
• Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
• Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
• Provide guidance on data stewardship for teams onboarding to the central data systems.
Requirements:
• 5+ years of experience in data engineering
• Experience engineering, administering and managing multiple relational database flavors (e.g. Oracle, MySQL, SQLServer, PostgreSQL)
• Experience with large-scale data analytics and data warehousing
• Strong troubleshooting and problem-solving skills in high-pressure situations
• Understanding of overall system architecture, scalability, reliability, and performance in a database environment
• Experience working directly with customers, resolving database, systems and infrastructure-related issues and also providing systems architecture leadership
• 3+ years experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Ideal candidate would have one or more of the following certifications:
• AWS Certified SysOps Administrator Assoc.
• AWS Certified Developer Assoc.
• AWS Certified Solutions Architect Assoc.
• AWS Certified Data Engineer Assoc.
• AWS Certified Machine Learning Engineer Assoc.
• Experience analyzing issues holistically, from the application tier through the database, down to the infrastructure
• Working knowledge of at least one scripting language (shell, Python, Perl).
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Proven experience as a Data Engineer with a track record of building data solutions from the ground up
• Coding skills in the procedural language for at least one database engine a must (PL/SQL, T-SQL, redshift SQL, Postgres SQL etc.)
