Data Engineer; Backend Data, Marketing & AI
Job in
Alameda, Alameda County, California, 94502, USA
Listed on 2026-07-11
Listing for:
I.T. Solutions, Inc.
Full Time
position Listed on 2026-07-11
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Data Engineer for Backend Data & AI (Digital & Marketing IT)
Location:
Alameda, CA Onsite / Hybrid Long-Term Rolling Contract Role Summary We are seeking a hungry to learn and grow Data Engineer for Backend Data & AI with 5+ years of hands-on data engineering experience and a proven ability to lead architecture, execution, and technical direction for enterprise-scale marketing and customer data platforms. This role will act as a technical authority and thought leader, guiding backend data and AI solutions that power customer engagement, marketing activation, analytics, and AI-driven insights.
The ideal candidate combines strong technical expertise in AWS, DBT, Python, and modern data architectures with good leadership, communication, and decision-making skills . You will partner closely with product owners, marketing stakeholders, technical leads, architects, and offshore delivery teams to deliver scalable, business-ready data solutions.
Required Qualifications 5 + years of experience in data engineering, with at least 2–3 years in a technical leadership or lead engineer role. Deep expertise in AWS data services (Glue, S3, Redshift, DynamoDB, Airflow). Advanced proficiency in SQL, DBT, and Python. Strong experience designing and operating cloud-native data platforms ven ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Nice to Have Experience in the Life Sciences or Healthcare domain. Strong familiarity with marketing data ecosystems (email, media, social, web) and key Marketing KPIs. Data flows that support campaign targeting, segmentation, and personalization across email, paid media, and social channels. Marketing-specific data enrichment and validation logic (e.g., opt-in status, best email logic, engagement scoring). Data engineering supporting analytics and dashboards for campaign performance, attribution, and customer journey insights.
Experience with Fivetran or similar managed ingestion tools. Knowledge of marketing compliance and privacy regulations (GDPR, HIPAA for HCP data, CAN-SPAM).
Experience with CRM platforms such as Salesforce or Veeva. Exposure to GenAI, LLMs, and AI-driven personalization frameworks.
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