

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Consultant) based in Los Angeles, California, offering a hybrid work model. Contract length exceeds 6 months, with a focus on Azure, Databricks, and data pipeline optimization. Relevant experience in CRM Dynamics is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date discovered
June 19, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Los Angeles Metropolitan Area
-
π§ - Skills detailed
#Cloud #ADLS (Azure Data Lake Storage) #Synapse #Storage #Azure #Databricks #CRM (Customer Relationship Management) #Data Engineering #Consulting #Data Integration #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Data Quality #Data Pipeline #Scala #Azure Data Factory
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
MUST LIVE IN LOS ANGELES CALIFORNIA
Job Title: Data Engineer (Consultant)
Job Type: Full-Time Consultant
Location: Hybrid (3 days onsite β Monday, Wednesday, Thursday)
Overview:
We are seeking a skilled and motivated Data Engineer to join our clientβs IT team in a full-time consulting role. The ideal candidate will have experience building, optimizing, and maintaining data pipelines across cloud platforms and supporting enterprise applications such as CRM Dynamics.
Key Responsibilities:
β’ Design, build, and maintain scalable data pipelines for ingestion, transformation, and storage
β’ Implement data integration using Databricks, ADLS Gen 2, Azure Synapse, and Azure Data Factory (ADF)
β’ Ensure data quality, consistency, and availability across systems
β’ Optimize data workflows to improve efficiency and performance
β’ Monitor, troubleshoot, and resolve issues within data pipelines
β’ Collaborate with business and technical teams to deliver solutions aligned with organizational goals
β’ Document all data flows and integration processes for transparency and maintainability
Comprehensive Benefits Package:
β’ Medical and prescription
β’ Dental
β’ Vision
β’ 401(k) plan
β’ Choice Time Off (CTO)
β’ Short/Long-term disability
β’ Life insurance
β’ AD&D insurance
β’ Health Savings Accounts (HSAs)
β’ Flexible Spending Accounts (FSAs)
β’ Tuition reimbursement
β’ Employee Assistance Program (EAP)
β’ Pet and legal insurance