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# Data Engineer

- **Company:** LGL Technologies LLC
- **Location:** Ohio City, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Data Integration, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Linux, Apache Hadoop, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Oracle (Applications), Performance Tuning, SQL Databases, Google Cloud, Snowflake, Apache Spark, Data Lakes, Google Bigquery, Apache Kafka, Azure Synapse Analytics, Data Pipelines, Amazon Redshift
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/f24b94bc-0a2d-4d83-864e-0f83b9d7430b

## About the Role

MUST HAVE 10+ YEARS OF EXPERIENCE in Python, SQL, ETL/ELT Development, Apache Spark, Hadoop, AWS / Azure / Google Cloud Platform (Google Cloud Platform), CI/CD Pipelines, Linux/Unix, * 60 months of experience designing, developing, and maintaining ETL/ELT data pipelines using Python and SQL.

 * 60 months of experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL, including complex SQL query development and performance tuning.
 * 48 months of experience with cloud platforms such as AWS, Azure, or Google Cloud Platform and cloud-based data services.
 * 48 months of experience with big data technologies including Apache Spark, Hadoop, and Kafka.
 * 36 months of experience with data warehousing solutions such as Snowflake, Amazon Redshift, Azure Synapse, or Google BigQuery.
 * 36 months of experience with workflow orchestration tools such as Apache Airflow or equivalent scheduling tools.
 * 24 months of experience developing and optimizing data models, data lakes, and data integration solutions.