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Data Engineer Cdp Jobs (NOW HIRING)

Programmers.io

Hadoop Cloudera Engineer

Irving, TX · On-site

Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce) * Spark & Data Processing(Spark Core, SQL, PySpark) * Version Control (Git) * ETL Pipeline Development &Optimization * Cloud & DevOps ...

BC Forward

Senior Data/Big Data Engineer

Plano, TX · On-site

$65.05/hr

Application Programmer III Location: Plano, TX Duration: Contract - 11 months Pay Range: $65.05/hr ... Cloudera CDP and Hadoop ecosystem: Hive, Impala, PySpark, Scala. UNIX shell scripting and job ...

BC Forward

Senior Data Engineer/Developer

Charlotte, NC · On-site

$65.05/hr

Cloudera CDP, Hadoop, Hive, Impala, PySpark, and/or Scala. UNIX proficiency with shell scripting ... Experience with data governance and scalable data provisioning for surveillance platforms. Why ...

Genesis10

Big Data Engineer - Onsite

Charlotte, NC · On-site

$54.50 - $72/hr

Genesis10 is currently seeking a Big Data Engineer for an onsite position at a Global Financial ... with CDP/HDP (Cloudera or Hortonworks), Elastic Search, and Kibana • Hands-on programming ...

Signet Jewelers Ltd.

CDP Specialist

New York, NY · On-site

$80K - $90K/yr

... Data Engineering, Analytics, and Product teams to activate unified customer data, driving ... What You'll Do CDP Operations & Channel Integration Support the integration of marketing channels ...

Signet Jewelers Ltd.

CDP Specialist

New York, NY

$80K - $90K/yr

... Data Engineering, Analytics, and Product teams to activate unified customer data, driving ... What You'll Do CDP Operations & Channel Integration Support the integration of marketing channels ...

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Data Engineer Cdp information

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How much do data engineer cdp jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data engineer cdp in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are Data Engineer CDPs?

Data Engineer CDPs (Customer Data Platforms) are professionals who specialize in designing, building, and maintaining data infrastructure for customer data platforms. They are responsible for collecting, processing, and integrating large volumes of customer data from multiple sources to ensure that the data is accurate, clean, and accessible for marketing, analytics, and business intelligence. Their work enables organizations to create unified customer profiles and deliver personalized experiences across channels. Data Engineer CDPs often work closely with data scientists, analysts, and marketers to support data-driven strategies and compliance with privacy regulations.

How do Data Engineers working with Customer Data Platforms (CDPs) typically collaborate with marketing and analytics teams?

Data Engineers in CDP environments frequently collaborate with marketing and analytics teams to ensure data pipelines are optimized for campaign personalization and customer insights. They translate business requirements into technical solutions, enabling real-time data integration and accessibility for non-technical users. Regular communication is essential to align on data quality, privacy compliance, and the evolving needs of user segmentation, making teamwork and clear documentation key to success in this role.

What are the key skills and qualifications needed to thrive as a Data Engineer CDP, and why are they important?

To thrive as a Data Engineer CDP, you need strong expertise in data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with cloud data platforms (such as AWS, Azure, or GCP), experience in programming languages like Python or Scala, and certifications in specific CDP tools (like Cloudera or Snowflake) are typically required. Analytical thinking, problem-solving, and effective communication are critical soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These skills ensure robust, scalable data architectures and enable efficient data-driven decision-making across the organization.
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What cities are hiring for Data Engineer Cdp jobs? Cities with the most Data Engineer Cdp job openings:
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Data Engineer Cdp jobs near you
Infographic showing various Data Engineer Cdp job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 81% Full Time, 3% Part Time, 3% Contract, and 5% Summer. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Hadoop Cloudera Engineer

Hadoop Cloudera Engineer

Programmers.io

Irving, TX • On-site

Full-time

Re-posted 27 days ago

Job description

Skills :
 
  • Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce)
  • Spark & Data Processing(Spark Core, SQL, PySpark)
  • Version Control (Git)
  • ETL Pipeline Development &Optimization
  • Cloud & DevOps (CI/CD, Docker, Kubernetes, CDP (Cloud)
  • Big Data Tools (Hive,Impala, HBase)
  • Programming (Python / Scala / Shell)
  • Data Storage & File Formats (Parquet, Avro,ORC, JSON)
  • Cluster Management & Performance Tuning
  • Data Ingestion Tools (Sqoop, Flume, Kafka)
  • Experience with real-time processing (Spark Streaming / Kafka)
  • Knowledge of data governance and security frameworks
  • Exposure to cloud platforms (Azure / AWS / GCP) · Basic understanding of data warehousing concepts
    Develop and maintain big data solutions using Cloudera Hadoop platform
  • Design and implement scalable ETL pipelines for large datasets
  • Work on data ingestion, processing, and transformation using Spark and Hadoop tools · Optimize data workflows, query performance, and storage strategies
  • Manage and maintain Hadoop clusters (Cloudera distribution)
  • Work with structured and unstructured data across multiple sources
  • Collaborate with Data Engineers, Analysts, and Business teams
  • Implement data security, governance, and access controls
  • Ensure system performance, reliability, and scalabilityCollaborate with cross-functional teams (Data Engineers, DevOps, Business teams)
  • Stay updated with the latest advancements in AI/ML and GenAI ecosystem
 
Certification
 
Cloudera Certified Associate (CCA) Data Analyst/ Cloudera Certified Professional (CCP) Data Engineer (highly preferred) Cloudera Certified Administrator (CCA Admin)