Apptad Inc.
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer, offering a long-term remote contract focused on Databricks and AWS services. Key skills include ETL, data warehousing, Lakehouse architecture, and CI/CD pipelines. Federal compliance experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Apache Spark #Spark (Apache Spark) #Data Lake #OpenSearch #Metadata #PySpark #Big Data #Databases #Databricks #Security #Storage #Data Quality #"ETL (Extract #Transform #Load)" #Delta Lake #Cloud #Compliance #AWS (Amazon Web Services)
Role description
Sr. Data Engineer
Remote (EST Hours)
Long Term
Skills Req: Databricks , AWS services , ETL, Data Warehousing ,Data Modelling , Streaming , OpenSearch , Vector databases , RAG pipelines , CI/CD pipelines.
Experience in data engineering with a strong focus on Databricks, deployed on any major cloud (AWS).
Expertise with cloud-native databases, storage solutions, and distributed compute platforms.
Deep understanding of Lakehouse architecture, Apache Spark, Delta Lake, and related big data technologies.
Advanced skills in data warehousing, 3NF, dimensional modeling, and enterprise-level data lakes.
Experience with Databricks components including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, and orchestration tools.
Expertise in designing and supporting incremental data loads and building metadata-driven ingestion/data quality frameworks using PySpark.
Preference will be given to candidates who meet federal project compliance and background clearance requirements.
Hands-on experience with Databricks Unity Catalog and implementing fine-grained security and access control.
Proven track record in deploying code and solutions via automated CI/CD pipelines.
Experience with performance optimization of Data engineering pipelines, code, compute resources.
Sr. Data Engineer
Remote (EST Hours)
Long Term
Skills Req: Databricks , AWS services , ETL, Data Warehousing ,Data Modelling , Streaming , OpenSearch , Vector databases , RAG pipelines , CI/CD pipelines.
Experience in data engineering with a strong focus on Databricks, deployed on any major cloud (AWS).
Expertise with cloud-native databases, storage solutions, and distributed compute platforms.
Deep understanding of Lakehouse architecture, Apache Spark, Delta Lake, and related big data technologies.
Advanced skills in data warehousing, 3NF, dimensional modeling, and enterprise-level data lakes.
Experience with Databricks components including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, and orchestration tools.
Expertise in designing and supporting incremental data loads and building metadata-driven ingestion/data quality frameworks using PySpark.
Preference will be given to candidates who meet federal project compliance and background clearance requirements.
Hands-on experience with Databricks Unity Catalog and implementing fine-grained security and access control.
Proven track record in deploying code and solutions via automated CI/CD pipelines.
Experience with performance optimization of Data engineering pipelines, code, compute resources.
