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# Data Acquisition Engineer I

- **Company:** AAA Washington
- **Location:** Bellevue, WA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $98,634.0 - $113,424.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Apache HTTP Server, Microsoft Azure, Software as a Service, Cloud Storage, Code Review, Information Systems, Directed Acyclic Graph (Directed Graphs), Data Validation, Data Dictionary, Data Mining, Python (Programming Language), SQL Azure, Raw Data, Azure Data Lake, Simple Data Format, SQL Databases, Workflow Management Systems, Parquet, Data Processing, Azure Data Factory, Git, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Software Version Control, Data Pipelines
- **Published:** August 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=19e940607fea1d4f

## About the Role

* Education - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent preferred
 * Experience - 0-2 years in data engineering, or a related field, * Microsoft Azure - Hands-on experience with ADF, ADLS Gen2, Azure SQL Database, and Azure Blob Storage preferred
 * Microsoft Fabric - Familiarity with Fabric Data Factory, Lakehouse, OneLake, and Warehouse concepts preferred
 * SQL - Proficiency in SQL for extraction, transformation, and quality validation preferred
 * Storage - Familiarity with Delta Lake, Apache Iceberg, Parquet file formats is preferred
 * Orchestration - Awareness of DAG concepts, task operators, and basic workflow execution and monitoring. Hands-on exposure to tools like Apache Airflow, DAGs, operators, and connections preferred
 * Asset Based Modeling - Awareness of asset-based orchestration concepts; exposure to dbt models or Dagster assets is a plus
 * Methodology - Awareness of medallion architecture (Bronze/Silver/Gold) and layered data design is preferred
 * Python / PySpark - Basic proficiency for data manipulation and ingestion scripting
 * Version Control - Familiarity with Git - branching, commits, and pull requests

CERTIFICATES, LICENSES, REGISTRATIONS:

 * Certification - DP-900 (Azure Data Fundamentals) or equivalent is preferred, * Azure Data Factory - Build and configure pipelines with guidance
 * Microsoft Fabric - Navigate Fabric workspaces; use Data Factory and Lakehouse
 * SQL - Write proficient queries; apply joins, aggregations, and filters
 * Python / PySpark - Write basic ingestion and transformation scripts
 * Medallion Architecture - Understand Bronze / Silver / Gold principles; follow team standards
 * Apache Airflow - Run and monitor existing DAGs; understand task operators and scheduling
 * Dagster / dbt - Develop awareness of asset graphs and dbt model concepts
 * Git - Commit, branch, and submit pull requests
 * Data Quality - Apply schema validation, null checks, and row count assertions
 * Ability to communicate clearly and professionally both verbally and in writing, including effective use of listening skills.
 * Ability to establish and maintain cooperative working relationships.
 * Skilled in establishing rapport and gaining the trust of others., * The physical environment is typical of a standard office space. It requires the employee to work inside for the duration of work. Must be able to remain in a stationary position, sitting for more than 50% of the time. This position will require occasionally moving about inside the office to access equipment, cabinets, etc. May work around office equipment which could be noisy, such as copiers and fax machines., To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required.

## Description

The Data Acquisition Engineer I builds and maintains data ingestion pipelines within the Microsoft Azure and Microsoft Fabric platform. Working under senior engineer guidance, this role contributes to pipeline development, source system onboarding, data quality execution, and medallion architecture foundations., * Build and maintain data ingestion pipelines using Azure Data Factory (ADF) and Microsoft Fabric Data Factory

 * Ingest structured and semi-structured data from APIs, flat files, databases, and SaaS sources into Azure Data Lake Storage Gen2 and Microsoft Fabric OneLake
 * Land raw data into the Bronze layer of the medallion Lakehouse following team standards for format, partitioning, and auditability
 * Write SQL queries for data extraction, transformation, and quality validation
 * Apply data quality checks including schema validation, null checks, and row count assertions
 * Execute ingestion workflows in orchestration tools (e.g.: Apache Airflow, Dagster, DLT) under guidance - run, monitor, and troubleshoot existing DAGs
 * Develop awareness of Dagster and dbt asset-based modeling patterns through team exposure and structured learning
 * Document pipeline designs, source-to-target mappings, and data dictionaries
 * Participate in sprint ceremonies and code reviews
 * Contributes to a positive team dynamic through respectful interactions, positive contributions, and active collaboration to achieve department and organizational goals.
 * Incorporates AAA's vision, mission and values in day-to-day activities and behaviors; guides and motivates others to remain committed to AAA's vision mission and values., * Hybrid work from home and office required


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