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# Data Engineer

- **Company:** CYNET SYSTEMS INC.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Structures, Document-Oriented Databases, Python (Programming Language), PostgreSQL, NoSQL, Oracle (Applications), Performance Tuning, Query Optimization, Cloud Services, SQL Databases, Workflow Management Systems, Data Logging, Google Cloud, Indexer, Git, Database Migration, Containerization, Software Version Control, Data Pipelines, Docker
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/30611b5d-ce3c-4f9e-acdf-97398681edd1

## About the Role

* 5+ years of experience in data engineering, with demonstrated ownership of large-scale data migration projects.
 * Strong to expert-level proficiency in Python for building and automating data pipelines.
 * Deep hands-on experience with PostgreSQL/Oracle, including schema design, query optimization, and performance tuning.
 * Proven experience designing and managing ETL/ELT pipelines at scale (millions of records).
 * Experience mapping and transforming complex, legacy data structures across disparate systems or business entities.
 * Strong understanding of data validation, reconciliation, and quality assurance techniques.
 * Solid grasp of data modeling principles (normalization, indexing, partitioning).
 * Experience with version control (Git) and CI/CD practices for data pipelines., * Experience with orchestration tools (e.g., Airflow, Dagster, Prefect).
 * Familiarity with cloud data platforms (AWS, Google Cloud Platform, or Azure).
 * Experience with other relational or NoSQL databases and cross-database migrations.
 * Background working in regulated or high-stakes data environments.
 * Experience with containerization (Docker) and infrastructure-as-code.
 * Exposure to data quality/testing frameworks (e.g., Great Expectations, dbt tests).

Skills:

 * Python.
 * PostgreSQL.
 * Oracle.
 * ETL/ELT.
 * Data Migration.
 * Schema Design.
 * Query Optimization.
 * Data Modeling.
 * Git.
 * CI/CD.

Qualification And Education:

 * 5+ years of experience in data engineering.
 * Expertise in Python and SQL databases.

## Description

* Lead the end-to-end migration (transformation and load) of high-volume, high-complexity data into a new PostgreSQL-based infrastructure.
 * Design, build, and maintain robust ETL/ELT pipelines capable of processing millions of records reliably and efficiently.
 * Map and reconcile complex legacy data structures across multiple business entities into a unified target schema.
 * Define and implement data validation frameworks to ensure integrity, completeness, and accuracy throughout the migration.
 * Optimize pipeline performance, including query tuning, indexing strategy, and batch/incremental load design in PostgreSQL.
 * Identify, troubleshoot, and resolve data quality issues, schema mismatches, and pipeline failures.
 * Document data mappings, transformation logic, and migration runbooks for engineering and business stakeholders.
 * Partner with business and technical stakeholders to align migration scope, timelines, and data requirements.
 * Establish monitoring, logging, and alerting to track pipeline health and data quality post-migration.
 * Mentor junior data engineers and contribute to engineering best practices and standards.


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