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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Irving, TX, United States
- **Salary:** $79,040.0 - $83,200.0
- **Contract:** Temporary contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Architectural Patterns, Computer Vision, Microsoft Azure, BigQuery, C Sharp (Programming Language), C++ (Programming Language), Cloud Engineering, Cloud Storage, Software Documentation, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Migration, Data Systems, DevOps, Digital Technology, Distributed Data Store, Github, Apache Hadoop, Data Intelligence, Python (Programming Language), PostgreSQL, Machine Learning, Meta-Data Management, MongoDB, MySQL, NoSQL, Tensorflow, DataOps, Cloudera, Azure Machine Learning, Salesforce.Com, Software Deployment, SQL Databases, Data Streaming, Trusted Systems, Management of Software Versions, Google Cloud, Cloud Platform System, Real Time Systems, Azure Data Factory, Pytorch, Autoscaling, Grafana, Apache Spark, Generative AI, Infrastructure as Code (IaC), Data Strategy, Containerization, Data Lakes, Pyspark, Scikit Learn, Integration Tests, Kubernetes, Information Technology, Data Lineage, Apache Flink, Rancher, Xgboost, Apache Kafka, Spark Streaming, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, Docker, Databricks, Programming Languages
- **Published:** August 26, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/irving/9750aafe-3b18-44f2-ad49-176be31b88db

## About the Role

1. 3+ years of experience in Data Engineering including hands on experience

working with Hadoop and Google Cloud Data Solutions

 2. Experience with GCP Data Services: Big Query, Cloud Storage, Data Proc,

Cloud Composer. Experience migrating on prem to GCP

 3. 2+ years of real time processing with Kafka, Flink, and Spark Streaming

 4. 3+ Years of data lake experience with Python, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

PySpark
BigQuery
Pipelines
Operations
Data Lakes
Scalability
Apache Kafka
Apache Flink
Apache Hadoop
Data Pipelines
Data Engineering
Business Valuation
Integration Testing
Architectural Design
Google Cloud Dataproc
Google Cloud Composer
Full Stack Development
Technical Requirements
Artificial Intelligence
Business Transformation
Google Cloud Platform (GCP)
Extract Transform Load (ETL)
Python (Programming Language), We are seeking a midlevel Data Engineer with hands-on expertise in Hadoop, PySpark, Python, and real-time streaming technologies such as Kafka. This role supports a large-scale migration of on-prem data and processing workloads into Google Cloud Platform (GCP). The candidate will be responsible for designing, developing, and deploying data pipelines across both Hadoop and GCP environments in a highly collaborative team setting.

The ideal individual is a hard-core developer who can independently convert requirements into scalable technical designs, perform integration and production deployments, and follow enterprise change-management and access-management procedures. The team has an established Hadoop platform and is actively

standing up a new GCP platform, making this a critical role for data movement, orchestration, and modernization.

Build and support Spark-based processing pipelines in Hadoop using PySpark and Python

Develop and maintain real-time streaming pipelines using Kafka

Design and implement data flows using Spark Streaming and Flink

Migrate data and workloads from on-prem Hadoop to GCP

Work extensively with BigQuery, Cloud Composer, Data Proc, and GCP Cloud Storage

Translate business and technical requirements into architecture, design, and deployment deliverables

Conduct integration testing, production deployments, and pipeline optimization

Work closely with internal teams, architects, and stakeholders to support platform enablement

Follow enterprise change-management and access-management processes, Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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