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Lead Data Engineer - Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (Remote) with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, SQL, ETL, and cloud technologies (AWS, Azure). Experience with Data Marts, Data Lakes, and big data technologies is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Oracle #Databricks #Databases #dbt (data build tool) #Synapse #Python #Data Mart #SQL (Structured Query Language) #Programming #Data Lake #Azure #Cloud #Scala #MySQL #Batch #Integration Testing #SQL Server #Data Engineering #BI (Business Intelligence) #Azure cloud #AWS (Amazon Web Services) #Big Data #Documentation #"ETL (Extract #Transform #Load)" #Azure SQL
Role description
The Opportunity:
We are seeking a Lead Data Engineer with experience in projects emphasizing complex data solutions.
This is a hands-on role for someone who enjoys working across business and technology. This person will be responsible for supporting data transformation and distribution to end consumers. Candidate will assist with requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products.
· Work with the Business Intelligence team and operational stakeholders to translate objectives into success metrics, system qualities, data requirements, and acceptance criteria that engineering teams can execute
· Serve as the primary subject matter expert for data, analytics, and integration needs across assigned business domains, translating business requirements into repeatable, executable design patterns and system qualities.
· Partner closely with Data Product Managers, Architects, and Engineering teams to identify integration opportunities, select appropriate tools, and define shared data, interfaces, and data flows.
· Provide architectural and design oversight through planning, execution, and operations to ensure alignment with enterprise standards and successful implementation.
· Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
· Design and develop database objects, tables, stored procedures, views, etc.
· Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
· Understands the concept of Data Marts and Data lakes and experience with migrating legacy systems to data marts/lake
· Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
· Maintain comprehensive project documentation
· Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
Experience Needed:
• Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, DBT
• Database platforms such as: Oracle, SQL Server, MySQL
• Big data concepts and technologies such as Synapse & Databricks
• AWS and Azure cloud computing
The Opportunity:
We are seeking a Lead Data Engineer with experience in projects emphasizing complex data solutions.
This is a hands-on role for someone who enjoys working across business and technology. This person will be responsible for supporting data transformation and distribution to end consumers. Candidate will assist with requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products.
· Work with the Business Intelligence team and operational stakeholders to translate objectives into success metrics, system qualities, data requirements, and acceptance criteria that engineering teams can execute
· Serve as the primary subject matter expert for data, analytics, and integration needs across assigned business domains, translating business requirements into repeatable, executable design patterns and system qualities.
· Partner closely with Data Product Managers, Architects, and Engineering teams to identify integration opportunities, select appropriate tools, and define shared data, interfaces, and data flows.
· Provide architectural and design oversight through planning, execution, and operations to ensure alignment with enterprise standards and successful implementation.
· Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
· Design and develop database objects, tables, stored procedures, views, etc.
· Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
· Understands the concept of Data Marts and Data lakes and experience with migrating legacy systems to data marts/lake
· Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
· Maintain comprehensive project documentation
· Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
Experience Needed:
• Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, DBT
• Database platforms such as: Oracle, SQL Server, MySQL
• Big data concepts and technologies such as Synapse & Databricks
• AWS and Azure cloud computing
