Data Engineer – Customer Data Platform (SQL/Python)

Delta Computer Consulting; Los Angeles (CA); On-site; USD 74,000 - 84,000; Full time

Benefits offered by this job

Health Insurance

Vision Insurance

Dental Insurance

Life Insurance

401k

Continuing Education

On-demand Education

Job summary

Delta Computer Consulting, Inc. is seeking a Senior Data Engineer / CDP Developer to support enterprise CDP operations and data quality.

You will drive SQL development, CDP integration, and production data troubleshooting for large customer datasets. Ideal candidates bring strong experience with customer data platforms, Python automation, and cloud data environments, with production data pipelines and privacy compliance experience.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, or related field.
• 8+ years combined experience in data analysis, data engineering, or data operations.
• Advanced SQL development and query optimization (Presto, Hive, NoSQL).
• Experience with Customer Data Platforms and CRM data integrations.
• Strong Python experience for data automation and APIs.
• Cloud data platform familiarity (AWS preferred).
• Experience with workflow orchestration tools (Digdag, TD Workflows, or similar).
• Experience with data quality frameworks, monitoring, and alerting.

Responsibilities

• Analyze customer data, event streams, and large-scale datasets to generate insights
• Develop and optimize advanced SQL queries across Presto, Hive, and NoSQL environments
• Use Python for data processing, automation, API integrations, and workflow support
• Perform exploratory data analysis and anomaly detection
• Document data processes, business rules, and workflows
• Support CDP workflow orchestration (Digdag, TD Workflows, or similar tools)
• Monitor and enhance data quality frameworks and observability pipelines
• Maintain CI/CD and Git-based version control for data code and documentation
• Support end-to-end data lifecycle from ingestion to activation
• Diagnose data pipeline failures and perform root cause analysis
• Support production job monitoring, data validation, and output verification
• Implement fixes and reliability improvements
• Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII handling)
• Assist identity resolution, schema design, and profile unification
• Collaborate with CRM, analytics, and marketing teams

Skills

Advanced SQL

Python automation

Cloud data platforms

Data governance & compliance

Data analysis

CRM data integrations

Education

Bachelor’s degree in Data Science, CS, or Engineering

Job description

Pay Range: $54.00 – $61.00 per hour (based on experience and internal equity)

Schedule: Full-time, contract; long-term opportunity

Benefits: Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education

Must be willing to work onsite in Torrance, CA (LA County)

Sponsorship is available for this role

Position Summary

We are seeking a Senior Data Engineer / CDP Developer to support enterprise Customer Data Platform (CDP) operations, improve data quality, and deliver scalable data solutions across large customer and event datasets. This role blends advanced SQL development, CDP integration, workflow orchestration, and production data troubleshooting.

The ideal candidate brings strong expertise in customer data platforms, advanced SQL engineering, Python automation, and cloud data environments, along with experience supporting production data pipelines and customer data privacy requirements.

Key Responsibilities

Data Analysis & Development

• Analyze customer data, event streams, and large-scale datasets to generate insights
• Develop and optimize advanced SQL queries across Presto, Hive, and NoSQL environments
• Use Python for data processing, automation, API integrations, and workflow support
• Perform exploratory data analysis and anomaly detection
• Document data processes, business rules, and workflows

CDP & Pipeline Operations

• Support CDP workflow orchestration (Digdag, TD Workflows, or similar tools)
• Monitor and enhance data quality frameworks and observability pipelines
• Maintain CI/CD and Git-based version control for data code and documentation
• Support end-to-end data lifecycle from ingestion to activation

Troubleshooting & Production Support

• Diagnose data pipeline failures and workflow issues
• Perform root cause analysis using logs and monitoring tools
• Support production job monitoring, data validation, and output verification
• Implement fixes and reliability improvements

Data Governance & Compliance

• Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII handling)
• Support identity resolution, schema design, and profile unification

What You’ll Be Working On

• Customer Data Platform integrations and pipeline operations
• Large-scale customer and event data processing
• Data quality, automation, and workflow optimization
• Cross-functional data solutions supporting CRM, marketing, and analytics teams

Required Skills & Experience

• Bachelor’s degree in Data Science, Computer Science, Engineering, or related field
• 8+ years combined experience in data analysis, data engineering, or data operations
• Advanced SQL development and query optimization (Presto, Hive, NoSQL environments)
• Experience working with Customer Data Platforms and CRM data integrations
• Strong Python experience for data automation and APIs
• Cloud data platform familiarity (AWS preferred)
• Experience with workflow orchestration tools (Digdag, TD Workflows, or similar)
• Experience with data quality frameworks, monitoring, and alerting
• Strong communication and cross-functional collaboration skills

Preferred Skills

• Experience with Treasure Data CDP or similar platforms (Informatica, Adobe, Salesforce CDP, Tealium, mParticle)
• Experience with data modeling, identity resolution, and profile unification
• Experience with CI/CD and Git-based workflows
• Strong privacy and compliance experience (GDPR, CCPA, PII handling)
• 3+ years of Big 4 consulting experience (preferred)
• Stable work history within large enterprise organizations