

Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Atlanta, GA, requiring 10+ years of experience in data engineering, proficiency in Databricks, SQL, and data architecture. The contract lasts 12 months, with a pay rate to be discussed.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 11, 2025
π - Project duration
More than 6 months
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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
Atlanta, GA
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π§ - Skills detailed
#Data Lake #Apache Spark #Scala #Data Manipulation #Delta Lake #AWS (Amazon Web Services) #Cloud #Normalization #Databricks #Spark (Apache Spark) #GCP (Google Cloud Platform) #Data Architecture #SQL (Structured Query Language) #Data Engineering #Data Normalization #Data Modeling #Datasets #Airflow #Data Governance #NoSQL #Databases #Azure
Role description
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βPlease submit only genuine candidate profiles. Any curated or misrepresented resumes will result in immediate removal from our distribution list and may lead to disqualification from future collaboration with your company.β
Must have information during submission
Candidates Full Name, Mobile Number, Location, Work Authorization, Rate and LinkedIn profile
I can reach out to candidates faster if I don't have to go back and forth with you for details.
-Client Location - Atlanta, GA - 4 days onsite - prefer local candidates
-Duration - 12 months
-Interview Process - Video / In-person interview
Must Have - 10+ years of experience in a data engineering or software engineering role focused on data manipulation
β’ Proven experience writing and optimizing Databricks notebooks
β’ Deep expertise in SQL, data modeling, and building clean, scalable datasets
β’ Experience working with both relational databases and NoSQL/data lake environments
β’ Strong understanding of data normalization and data architecture best practices
β’ Hands-on experience with tools such as Apache Spark, Hive, and Airflow
Nice to haves:
β’ Familiarity with Delta Lake, Unity Catalog, or similar data governance frameworks
β’ Exposure to cloud platforms like Azure, AWS, or GCP