CRM Data Anlayst/Data Engineer.
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a CRM Data Analyst/Data Engineer, offering a contract length of "unknown" and a pay rate of "unknown." The position requires 3+ years of SQL and Python experience, familiarity with Salesforce and Braze, and a Bachelor's degree in Computer Science or related field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Python #Cloud #Quality Assurance #Snowflake #Data Lake #Jira #Scrum #Computer Science #Data Engineering #Data Integration #Agile #"ETL (Extract #Transform #Load)" #CRM (Customer Relationship Management) #Databricks #SQL (Structured Query Language) #Scripting #Salesforce Marketing Cloud #Kanban #Compliance
Role description
The Data Engineer will support the Tech Operations data team by running standardized queries, parsing and loading files, and ensuring high-quality data delivery across platforms such as Salesforce Marketing Cloud and Braze. This is a hands-on technical role requiring strong SQL, Python, and data integration skills within a secure, fast-paced environment.
Key Responsibilities
• Run standardized SQL/Python queries to extract data from data lakes and other sources.
• Parse data files according to ingestion requirements.
• Load data into CRM platforms (e.g., SFMC, Braze) via UI or other methods.
• Perform quality assurance, resolve data discrepancies, and maintain InfoSec compliance.
• Document completion and maintain audit trails in Jira.
• Collaborate in Agile environments (Scrum/Kanban).
Basic Qualifications
• 3+ years’ experience with SQL and Python scripting.
• Hands-on experience with Snowflake and/or Databricks.
• Experience with CRM/engagement platforms such as Salesforce and Braze.
• Familiarity with InfoSec procedures and QA testing.
• Experience with Agile methodologies; Jira strongly preferred.
Preferred Qualifications
• 3–5 years of data engineering/integration experience.
• Background in subscription services or streaming is ideal.
• Strong problem-solving skills, attention to detail, and ability to manage multiple tasks.
• Flexible team player with excellent communication and interpersonal skills.
Education
• Bachelor’s degree in Computer Science or related field, or equivalent experience.
The Data Engineer will support the Tech Operations data team by running standardized queries, parsing and loading files, and ensuring high-quality data delivery across platforms such as Salesforce Marketing Cloud and Braze. This is a hands-on technical role requiring strong SQL, Python, and data integration skills within a secure, fast-paced environment.
Key Responsibilities
• Run standardized SQL/Python queries to extract data from data lakes and other sources.
• Parse data files according to ingestion requirements.
• Load data into CRM platforms (e.g., SFMC, Braze) via UI or other methods.
• Perform quality assurance, resolve data discrepancies, and maintain InfoSec compliance.
• Document completion and maintain audit trails in Jira.
• Collaborate in Agile environments (Scrum/Kanban).
Basic Qualifications
• 3+ years’ experience with SQL and Python scripting.
• Hands-on experience with Snowflake and/or Databricks.
• Experience with CRM/engagement platforms such as Salesforce and Braze.
• Familiarity with InfoSec procedures and QA testing.
• Experience with Agile methodologies; Jira strongly preferred.
Preferred Qualifications
• 3–5 years of data engineering/integration experience.
• Background in subscription services or streaming is ideal.
• Strong problem-solving skills, attention to detail, and ability to manage multiple tasks.
• Flexible team player with excellent communication and interpersonal skills.
Education
• Bachelor’s degree in Computer Science or related field, or equivalent experience.
