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# Data Analytics & Engineering - Data Engineer IV

- **Company:** Akidev Corp.
- **Location:** United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Programming Tools, Document-Oriented Databases, Python (Programming Language), SQL Databases, Data Logging, Google Cloud, Snowflake, Information Technology, Data Analytics, Data Management, Data Pipelines, Amazon Redshift, Programming Languages
- **Published:** August 18, 2026
- **Apply:** https://www.dice.com/job-detail/ac6b265c-1186-4d4e-85ac-9b91aaa62e5b

## About the Role

1.Strong experience with SQL and Python for large-scale data engineering.
2.Experience building and validating product logging and data quality frameworks.
3.Experience building dashboards and analytics reporting solutions.
Nice-to-have Skills:
Familiarity with AI-native analytics and dev tools, Bachelor''s degree in computer science, Engineering, Mathematics, or a related field, or equivalent practical experience.

 - Proven experience in data engineering, including building and maintaining ETL pipelines.
 - Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
 - Experience with data warehousing solutions (e.g., Snowflake, Redshift, Big Query) and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
 - Strong problem-solving skills and attention to detail.
 - Excellent communication and collaboration abilities.

## Description

Client is seeking a skilled Data Engineer for a temporary assignment. In this role, you will support our data infrastructure and analytics initiatives, working with cross-functional teams to deliver high-quality data solutions., Design, build, and maintain scalable data pipelines and ETL processes.

 - Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
 - Ensure data quality, integrity, and security across all data systems; implement automated monitoring and anomaly detection.
 - Develop dashboards and reporting solutions that support product goal tracking and decision-making.
 - Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
 - Troubleshoot and resolve data-related issues in a timely manner.
 - Document data workflows, processes, and best practices, contributing to a culture of knowledge sharing and operational excellence.


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