Anblicks
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Burbank, CA (Hybrid, 3 days on-site). Contract length and pay rate are unspecified. Key skills include AWS (Glue, Kinesis, Lambda), SQL, Python, PySpark, and experience with Snowflake and Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Burbank, CA
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🧠 - Skills detailed
#Python #Snowflake #RDS (Amazon Relational Database Service) #PySpark #Spark (Apache Spark) #Scripting #Lambda (AWS Lambda) #Batch #Databricks #"ETL (Extract #Transform #Load)" #Data Transformations #Data Engineering #DynamoDB #Redshift #Informatica #AWS (Amazon Web Services) #Airflow #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language)
Role description
Job Title: Senior Data Engineer
Location: CA – Burbank (Hybrid – 3-days on-site)
Must Have Skills / Requirements
1. Experience in data engineering, with hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions).
1. Strong skills in SQL, Python, PySpark, and scripting for data transformations.
1. Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica).
Technology Requirements:
1. Strong skills in SQL, Python, PySpark, and scripting for data transformations.
1. hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions).
1. Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica).
1. Proven ability to optimize pipelines for both batch and streaming use cases.
Job Title: Senior Data Engineer
Location: CA – Burbank (Hybrid – 3-days on-site)
Must Have Skills / Requirements
1. Experience in data engineering, with hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions).
1. Strong skills in SQL, Python, PySpark, and scripting for data transformations.
1. Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica).
Technology Requirements:
1. Strong skills in SQL, Python, PySpark, and scripting for data transformations.
1. hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions).
1. Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica).
1. Proven ability to optimize pipelines for both batch and streaming use cases.
