

ACL Digital
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Columbus, OH (Hybrid, 4 days onsite/week) on a 3-month contract. Requires US citizenship, expertise in Azure DataBricks, Python, SQL, and experience with AI/ML data preparation.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
November 1, 2025
π - Duration
3 to 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Columbus, OH
-
π§ - Skills detailed
#Azure #Data Governance #Data Science #AI (Artificial Intelligence) #Azure Databricks #Data Processing #Scala #"ETL (Extract #Transform #Load)" #Data Normalization #Spark (Apache Spark) #Security #Azure Data Factory #Databricks #MLflow #Data Engineering #Data Pipeline #ML (Machine Learning) #Computer Science #Data Ingestion #Data Quality #ADF (Azure Data Factory) #Python #Normalization #SQL (Structured Query Language) #Compliance #Synapse #Data Lake
Role description
Position: Data Engineer
Location: Columbus, OH (Hybrid role, 4x days onsite/week)
Type of Hire: Contract (w2)
Duration: 3 months
Required Only US Citizen...
Description
We are seeking a skilled and motivated Data Engineer to play a key role in building scalable data pipelines and preparing data for advanced AI use cases. This role will focus on leveraging Azure DataBricks and implementing the medallion architecture to support robust data engineering workflows.
Key Responsibilities
β’ Design, develop, and maintain scalable data pipelines using Azure DataBricks.
β’ Implement and optimize the medallion architecture (bronze, silver, gold layers) to support AI/ML use cases.
β’ Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
β’ Ensure data quality, integrity, and governance across all layers of the architecture.
β’ Automate data ingestion, transformation, and enrichment processes.
β’ Monitor and troubleshoot data workflows and performance issues.
β’ Document data engineering processes and contribute to best practices.
Required Skills & Qualifications
β’ Proven experience with Azure DataBricks and the medallion architecture.
β’ Strong proficiency in Python, SQL, and Spark.
β’ Experience preparing data for AI/ML models, including feature engineering and data normalization.
β’ Familiarity with Data Lake, Azure Synapse, and Azure Data Factory.
β’ Understanding of data governance, security, and compliance principles.
β’ Excellent problem-solving and communication skills.
β’ Bachelorβs degree in Computer Science, Engineering, or related field (or equivalent experience).
Preferred Qualifications
β’ Experience with MLflow, Unity Catalog, or other MLOps tools.
β’ Knowledge of CI/CD pipelines for data engineering.
β’ Familiarity with real-time data processing and streaming architectures.
Regards,
Harshit Garg
Teamβ Talent Acquisition
ALTEN Calsoft Labs
2890 Zanker Road, Suite 200, San Jose, CA 95134
Phone: +1 408-755-3060
Email: Harshit.g@acldigital.com
Position: Data Engineer
Location: Columbus, OH (Hybrid role, 4x days onsite/week)
Type of Hire: Contract (w2)
Duration: 3 months
Required Only US Citizen...
Description
We are seeking a skilled and motivated Data Engineer to play a key role in building scalable data pipelines and preparing data for advanced AI use cases. This role will focus on leveraging Azure DataBricks and implementing the medallion architecture to support robust data engineering workflows.
Key Responsibilities
β’ Design, develop, and maintain scalable data pipelines using Azure DataBricks.
β’ Implement and optimize the medallion architecture (bronze, silver, gold layers) to support AI/ML use cases.
β’ Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
β’ Ensure data quality, integrity, and governance across all layers of the architecture.
β’ Automate data ingestion, transformation, and enrichment processes.
β’ Monitor and troubleshoot data workflows and performance issues.
β’ Document data engineering processes and contribute to best practices.
Required Skills & Qualifications
β’ Proven experience with Azure DataBricks and the medallion architecture.
β’ Strong proficiency in Python, SQL, and Spark.
β’ Experience preparing data for AI/ML models, including feature engineering and data normalization.
β’ Familiarity with Data Lake, Azure Synapse, and Azure Data Factory.
β’ Understanding of data governance, security, and compliance principles.
β’ Excellent problem-solving and communication skills.
β’ Bachelorβs degree in Computer Science, Engineering, or related field (or equivalent experience).
Preferred Qualifications
β’ Experience with MLflow, Unity Catalog, or other MLOps tools.
β’ Knowledge of CI/CD pipelines for data engineering.
β’ Familiarity with real-time data processing and streaming architectures.
Regards,
Harshit Garg
Teamβ Talent Acquisition
ALTEN Calsoft Labs
2890 Zanker Road, Suite 200, San Jose, CA 95134
Phone: +1 408-755-3060
Email: Harshit.g@acldigital.com





