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# Data Engineer / Data Architect

- **Company:** BCforward
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $161,366.0 - $171,766.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Automation of Tests, Behavior-Driven Development, Big Data, Continuous Integration, Information Engineering, Data Infrastructure, Data Integrity, Serialization, Data Structures, Distributed Computing Environment, Protocol Buffers, Apache Hadoop, JSON, Python (Programming Language), NoSQL, Workflow Management Systems, Parquet, Data Processing, Test-Driven Development (TDD), Apache Spark, Avro, Data Analytics, AWS Data Analytics, Data Pipelines, Databricks, Programming Languages
- **Published:** July 23, 2026
- **Apply:** https://www.dice.com/job-detail/86d8ab12-9618-43d4-b19e-1ac50c827118

## About the Role

We are seeking a Big Data Engineer to join our team. The ideal candidate will have strong experience in Java/J2EE development, Agile delivery, and CI/CD practices and a proven ability to design, build, test, deploy, and maintain secure, resilient applications., Strong analytical problem solving and critical thinking skills

 - Proficiency in at least one programming language ( Python, if not Java or Scala)

 - Proficiency in at least one distributed data processing framework ( Spark or similar)

 - Proficiency in at least one cloud data Lakehouse platforms (AWS Data lake services or Databricks, alternatively Hadoop),

 - Proficiency in at least one scheduling/orchestration tools ( Airflow, if not AWS Step Functions or similar)

-Proficiency with relational and NoSQL databases.

 - Proficiency in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar),

-Experience working in teams following Agile methodology

 - Experience with test-driven development (TDD) or behavior-driven development (BDD) practices, as well as working with continuous integration and continuous deployment (CI/CD) tools.

Preferred Skills:

 * Experience with cloud platforms and related services.
 * Exposure to test automation and performance engineering.

## Description

Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and technology best practices

 - Develop and optimize data models for large-scale datasets, ensuring efficient storage, retrieval, and analytics while maintaining data integrity and quality.

 - Collaborate with cross-functional teams to translate business requirements into scalable and effective data engineering solutions.

 - Demonstrate a passion for innovation and continuous improvement in data engineering, proactively identifying opportunities to enhance data infrastructure, data processing and analytics capabilities.


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