

Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Plano, TX, offering a contract length of unspecified duration at a competitive pay rate. Key skills required include Azure, SQL, Python, GitHub, and Databricks, with a focus on cloud platforms and data ingestion strategies.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
600
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ποΈ - Date discovered
August 5, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Plano, TX
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π§ - Skills detailed
#Public Cloud #GitHub #Security #Data Ingestion #Azure #Databricks #Documentation #Cloud #Storage #Strategy #Python #AI (Artificial Intelligence) #Data Engineering #Data Pipeline #SQL (Structured Query Language)
Role description
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Responsibilities
Kforce has a client that is seeking a Lead Data Engineer in Plano, TX. Primary Responsibilities: Data Ingestion Strategy:
β’ Design and implement solutions for ingesting data into the landing zone
β’ Evaluate and interpret data from various source tools, even when documentation is limited
β’ Ensure secure and authenticated data transfer, especially when sources are internet-facing
Azure Services Integration
β’ Work with Azure components such as Event Hub, Event Grid, and Storage Accounts
β’ Determine appropriate services based on use case and security requirements
β’ Navigate complexities of Azure subscriptions (internal vs. external)
Cross-Team Collaboration:
β’ Interface with experts from source systems to understand data structures and access methods
β’ Collaborate with system architects representing the modern delivery platform
Platform Alignment
β’ Understand how the iPlatform fits within the client brand and its expectations
β’ Leverage Azure services while aligning with enterprise standards
Requirements
β’ Senior-level engineering experience
β’ Strong familiarity with public cloud platforms (cloud-agnostic mindset preferred, Azure expertise prioritized)
β’ Experience with data pipelines, cloud authentication, and secure data transfer protocols
β’ Azure
β’ GitHub
β’ SQL
β’ Python
β’ Databricks
Project Context
β’ GitHub data ingestion is already in place
β’ Requires a new architectural approach distinct from GitHub
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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