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Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer based in California, offering a 6-month contract at an unspecified pay rate. Key skills include ETL/ELT, data warehousing, SQL, Python, and experience in Marketing Analytics or MarTech.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
California, United States
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Batch #Datasets #Data Accuracy #SQL (Structured Query Language) #Python #Data Processing #Customer Segmentation #Spark (Apache Spark) #Data Pipeline #Cloud #Data Engineering #Scala
Role description
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Job Title: Data Engineer (Remote – California Based Candidates Only)

Location: Remote (Must be based in California)

Duration: Contract – 6 Months (Possible Extension)

Job Overview:

We are seeking an experienced Data Engineer with a strong background in building scalable data pipelines, data warehousing, and analytics tools to support our client marketing teams. The ideal candidate will have expertise in ETL/ELT, large-scale data processing, and dashboard development for Marketing Analytics or MarTech use cases.

Key Responsibilities:

   • Design, develop, and maintain scalable data pipelines to support analytics and dashboarding needs.

   • Work with large datasets to generate insights and power marketing analytics dashboards.

   • Ensure data accuracy, consistency, and performance across various ETL/ELT processes.

   • Build and optimize data models to enhance reporting and decision-making.

   • Collaborate with marketing teams to develop analytics solutions that drive campaign performance.

   • Support and maintain batch data processing workflows for business-critical reporting.

Required Qualifications:

✔ 4–6 years of experience in data engineering, ETL/ELT, and data pipeline development.

✔ Strong background in data warehousing, batch data processing, and dashboard support.

✔ Experience working with large datasets for analytics and reporting.

✔ Hands-on experience building dashboards or analytics tools for marketing teams or campaigns.

✔ Proficiency in SQL, Python, Spark, or other relevant data engineering tools.

✔ Experience in Marketing Analytics or Marketing Technology (MarTech) is a plus.

Preferred Background:

🔹 Experience working in top-tier tech companies such as Airbnb, Uber, or Adobe (Marketing Cloud teams).

🔹 Strong understanding of advertising data, customer segmentation, and marketing performance analytics.

If you are a data-driven engineer passionate about marketing analytics and data pipeline development, we’d love to hear from you!