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# TELECOMMUTE Data Engineer

- **Company:** LTD Global
- **Location:** Richmond, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Automation of Tests, Big Data, BigQuery, Cloud Computing, Databases, Computer Engineering, Continuous Integration, Information Engineering, Relational Databases, Software Design Patterns, Enterprise Architecture Framework, Github, Apache Hadoop, Apache Hive, Python (Programming Language), Object-Oriented Software Development, Scrum Methodology, Systems Development Life Cycle, Cloudera, Shell Script, Software Engineering, SQL Databases, Google Cloud, Apache Spark, Git, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Software Version Control, Data Pipelines, Jenkins
- **Published:** June 24, 2026
- **Apply:** https://www.dice.com/job-detail/ba06a7e3-14ca-4e7f-bc7c-0023021b6072

## About the Role

· BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.

· 5+ years of hands-on software development experience with Big Data & Analytics solutions

· Google Cloud Platform Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,

· Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and Google Cloud Platform technologies.

· Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.

· Experience of building event processing pipelines with Kafka or Google Cloud Platform PubSub.

· Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.

· Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.

· Strong Object-Oriented Programming skills and design patterns.

· Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).

· Good knowledge and experience with configuration management tools like GitHub

· Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.

· Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data

· Looks proactively beyond the obvious for continuous improvement opportunities.

· Communicates effectively with product and cross functional team.

· Willingness to learn new technologies and leverage them to their optimal potential.

· Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.



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