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# Data Engineer

- **Company:** Merican Inc
- **Location:** Fairfax County, VA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Big Data, Computer Programming, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Database Queries, Python (Programming Language), SQL Databases, Transaction Data, Data Processing, Freeform SQL, Data Storage Technologies, Snowflake, Apache Spark, AWS Glue, Data Pipelines, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/e733e5a7-a508-49c8-bdf7-03cf5b7453bd

## About the Role

* Data Engineering: 5-7 years of hands-on experience building and supporting data pipelines.
 * Programming: Strong Python programming skills.
 * Big Data: Hands-on experience with Apache Spark.
 * AWS: Experience with AWS Glue and related data engineering services.
 * SQL: Strong SQL skills, including complex queries, joins, aggregations, and data analysis.
 * Databricks: Experience developing and processing data using Databricks.
 * Snowflake: Experience working with Snowflake for data processing and warehousing.
 * Orchestration: Experience with Apache Airflow for scheduling and managing data workflows.
 * Data Processing: Experience with batch pipelines, ETL/ELT processes, data transformation, and pipeline support.

## Description

* Design, develop, and maintain scalable batch data pipelines for transaction data processing and integration.
 * Build, enhance, and support data pipelines using Python, Spark, AWS Glue, and Databricks.
 * Develop complex SQL queries to extract, transform, validate, and analyze data.
 * Work with Snowflake for data storage, transformation, and analytical processing.
 * Use Apache Airflow for workflow orchestration, scheduling, and monitoring of data pipelines.
 * Troubleshoot pipeline failures, investigate data quality issues, and optimize performance.
 * Support the integration of one client's data into current client's existing data ecosystem.
 * Collaborate with engineers across multiple initiatives within a small, agile team structure.
 * For API-focused initiatives, develop and maintain APIs to serve data to downstream applications and systems.
 * Follow established engineering standards, data governance practices, and best practices for reliable data processing.