Customer Data Engineer (CDP)

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** We will NOT accept 3rd Party (C2C) Contractors **
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JOB DETAILS:
Position:Customer Data Engineer/Analyst (CDP)
Job Ref #:44271 - JIH5JP00004127
Duration:12+ Months (On-going Contract)
Location:HYBRID - Torrance, CA 90501
Pay Rate:$58.00 - $63.00 per hour (W2 ONLY)

HYBRID: Must be able to work ONSITE 4 days per week (LOCAL CANDIDATES Only)
HOURS: MON-FRI/40 Hours

HIRING REQUIREMENTS:
** NOT accepting any 3rd Party C2C candidates for ANY reason**
** NOT accepting candidates who live more than 45 miles from Torrance
** NOT accepting candidates willing to relocate (LOCAL CANDIDATES Only)**

Data Engineer/Data Analyst/CDP Developer will support the customer data platform, improve data quality, implement scalable data solutions, and address end to end data challenges. This role requires advanced SQL development, CDP integration, pipeline operations, and troubleshooting across large-scale datasets. The ideal candidate is highly analytical, detail-oriented, and thrives in a fast-paced, cross-functional environment

Data Analysis and Development Roles/Responsibilities:
Analyze customer data, event, and large-scale datasets to generate insights, validate data quality, and support business decision-making.
Write, optimize, and maintain advanced SQL queries across Presto, Hive, and NoSQL systems.
Use Python to support data processing, automation, workflow operations, and API integrations.
Work within cloud platforms (primarily AWS) and apply general cloud data architecture principles.
Perform exploratory data analysis to validate assumptions, identify anomalies, and support stakeholder requirements.
Document data processes, business rules, logic, and workflows in Confluence or similar platforms.
Collaborate with engineering, analytics, marketing, CRM teams, and SMEs to define data requirements and ensure accuracy.
Operate CDP workflow orchestration tools (e.g., Digdag, TD Workflows) to manage pipelines and scheduled jobs.
Enhance and monitor data quality frameworks including validation checks, alerts, and pipeline observability.
Follow CI/CD and Git-based version control best practices for SQL, scripts, and documentation.
Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII).
Solve end-to-end data challenges from ingestion through transformation to analysis and activation.
Maintain rigorous attention to detail, especially with customer-level and production data.
Proactively improve automation, data quality, workflow reliability, and system performance.
Communicate insights and technical concepts clearly to both technical and non-technical audiences.
Partner with SMEs to understand business context, refine requirements, and validate solution accuracy

Troubleshooting & Support:
Diagnose and resolve data pipeline failures, ingestion issues, and workflow errors in a timely manner.
Perform root-cause analysis using logs, pipeline metadata, and system monitoring tools.
Support production environments by monitoring scheduled jobs, validating outputs, and ensuring data accuracy and availability.
Implement fixes, patches, and process improvements to prevent recurring problems.
Maintain clear documentation of issues, resolutions, and preventive actions to strengthen operational reliability.

REQUIRED EXPERIENCE/SKILLS:
5+ of combined experience across data analysis, data engineering, or data operations.
MUST have experience with Customer Data Platforms (CDP) and CRM Systems
Hands-on experience integrating/managing CDP solutions and CRM platforms to unify and activate customer data.
Hands-on experience with Treasure Data CDP or similar CDPs (Informatica, Adobe, Salesforce, mParticle, or Tealium).
Experience working with customer data, event data, and large-scale datasets.
Advanced SQL expertise including complex query development and optimization (Presto, Hive, NoSQL), with hands-on experience supporting CDP integrations, pipeline operations, and troubleshooting across large-scale datasets.
Strong SQL expertise, including complex joins, window functions, CTEs, and performance optimization.
Proficiency with Python for data processing, automation, and APIs.
Familiarity with cloud environments such as AWS, Google Cloud Platform, or Azure (S3, IAM, data storage concepts).
Experience with CI/CD, GiT, and version control best practices.
Experience with workflow orchestration tools (Digdag, TD Workflows).
Understanding of privacy and compliance (GDPR, CCPA, PII handling).
Ability to perform exploratory analysis, validate data quality, and present insights to stakeholders.
Understanding of data modeling, schema design, identity resolution, and profile unification.
Comfortable documenting processes, transformations, and analytical logic in Confluence or similar platforms.
Experience with data quality frameworks, monitoring, alerting, and pipeline observability.
Provide support to production environment
Strong problem-solving skills and the ability to deliver end-to-end solutions from data ingestion to analysis.
Strong communication skills and the ability to work with cross-functional teams
Excellent attention to detail, especially when working with customer-level and production data.
Proactive mindset for improving data quality, automation, and system reliability.
Ability to collaborate closely with Subject Matter Experts (SMEs) to understand domain context, validate requirements, and ensure the accuracy and alignment of data solutions.
EDUCATION: Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.

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Calance Consultant Benefits Offerings:
- EPO/PPO Medical Plans
- HMO/PPO Dental programs
- Vision - VSP (Vision Plan Summary)
- 401K Retirement vesting program (VOYA)
- Paid Bi-Weekly/Direct Deposit
- Flex Spending Plan
- Voluntary Life, AD&D, STD or LTD plans