Intracruit Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include Azure Cloud expertise, Python, PySpark, Snowflake, and CI-CD platforms. A Master's degree or relevant certifications are mandatory, along with a minimum of 4 years of experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 2, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#DevOps #GCP (Google Cloud Platform) #Scala #Spark SQL #Docker #Data Storage #Azure cloud #Azure Data Factory #Angular #Azure #PySpark #Data Engineering #Datasets #JavaScript #API (Application Programming Interface) #Spark (Apache Spark) #jQuery #Kubernetes #Django #Python #SQL Queries #Storage #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Airflow #Flask #React #Computer Science #Redshift #Snowpark #Data Pipeline #ADF (Azure Data Factory) #SQL (Structured Query Language) #Snowflake #Data Processing #Programming #HTML (Hypertext Markup Language) #Cloud
Role description
W2 ROLE - NO THIRD PARTY OR C2C.
Data Engineer
Remote
mandatory items:
• 4 years minimum direct experience
• Masters Degree or if no advanced degree then all the proper certifications.
• Expert Knowledge of Azure Cloud
• Python and Pyspark
• Data Breach remediation knowledge
• Snowflake
• Docker
• CI-CD platforms
Data Engineer
Skills (must have) · Bachelor's or master's degree in computer science, Engineering, or a related field. · Strong programming skills in languages such as Python, PySpark, SQL etc. · Experience in Build and optimize ETL workflows using tools/technologies such as Spark, Snowflake, Airflow and/or Azure Data factory, Glue, Redshift etc. · Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis. · Develop and maintain data models ensuring scalability and optimal performance. · Utilize Snowpark for data processing within the Snowflake platform. · Integrate Snowflake for efficient data storage and retrieval. · Exposure to API integrations to facilitate data workflows. · Experience in implementing CI-CD pipelines through DevOps platforms. · Good experience in cloud infrastructure such as Azure, AWS or GCP
Good to have experience:
Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in API development, Flask/Django is a bonus
Responsibilities · Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects. · Develop, implement, and deploy ETL solutions. · Preprocess and analyze large datasets to identify patterns, trends, and insights. · Evaluate, validate, and optimize data models to ensure efficiency, and generalizability. · Monitor and maintain the performance of data pipeline, data models in production environments, identifying opportunities for improvement and update as needed. · Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
W2 ROLE - NO THIRD PARTY OR C2C.
Data Engineer
Remote
mandatory items:
• 4 years minimum direct experience
• Masters Degree or if no advanced degree then all the proper certifications.
• Expert Knowledge of Azure Cloud
• Python and Pyspark
• Data Breach remediation knowledge
• Snowflake
• Docker
• CI-CD platforms
Data Engineer
Skills (must have) · Bachelor's or master's degree in computer science, Engineering, or a related field. · Strong programming skills in languages such as Python, PySpark, SQL etc. · Experience in Build and optimize ETL workflows using tools/technologies such as Spark, Snowflake, Airflow and/or Azure Data factory, Glue, Redshift etc. · Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis. · Develop and maintain data models ensuring scalability and optimal performance. · Utilize Snowpark for data processing within the Snowflake platform. · Integrate Snowflake for efficient data storage and retrieval. · Exposure to API integrations to facilitate data workflows. · Experience in implementing CI-CD pipelines through DevOps platforms. · Good experience in cloud infrastructure such as Azure, AWS or GCP
Good to have experience:
Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in API development, Flask/Django is a bonus
Responsibilities · Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects. · Develop, implement, and deploy ETL solutions. · Preprocess and analyze large datasets to identify patterns, trends, and insights. · Evaluate, validate, and optimize data models to ensure efficiency, and generalizability. · Monitor and maintain the performance of data pipeline, data models in production environments, identifying opportunities for improvement and update as needed. · Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
