ETL Data Engineer,Remote, VA,United States

Intellibee; United States; Remote; USD 75,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to join their dynamic team. In this role, you will support the design and delivery of secure, scalable data pipelines in Azure, focusing on integrating and transforming sensitive datasets. You will leverage your expertise in ETL/ELT processes and Azure-native tools to ensure data quality and transparency. This position offers the opportunity to work in an Agile environment, contributing to important public transparency initiatives while collaborating with a talented software development team. If you are passionate about data engineering and eager to make a significant impact, this role is perfect for you.

Qualifications

• 3+ years of experience building ETL/ELT pipelines using Azure-native tools.
• Strong commitment to data quality and responsible data use.

Responsibilities

• Design and deliver secure, scalable data pipelines in Azure.
• Build ingestion workflows and transformation logic for analytics.

Skills

ETL/ELT Pipelines

Azure Data Factory

SQL

Python

PySpark

Delta Lake

Data Lake Storage Gen2

Data Quality Frameworks

DevOps/DataOps Practices

Data Masking and Encryption

Tools

Azure Data Factory

Synapse Pipelines

Azure Data Lake Storage Gen2

Job description

Data Analyst 3

The Virginia Department of Elections is seeking a skilled data engineer with a minimum of 3 years’ experience to work with an existing software development team on an ongoing project.

This position will support the design and delivery of secure, scalable, and traceable data pipelines in Azure, with a focus on integrating and transforming sensitive, public-facing datasets. The candidate will build ingestion workflows and transformation logic to support reporting, analytics, and public transparency initiatives. This role requires experience with Azure-native tools, strong ETL/ELT capabilities, and a strong commitment to data quality, auditability, and responsible data use. The candidate will be working with an existing software development team in an Agile/Scrum environment.

Skill Matrix:

• At least 3 years of experience building and maintaining ETL/ELT pipelines in enterprise environments using Azure-native tools. Required 3 Years
• Hands-on expertise with Azure Data Factory, Dataflows, Synapse Pipelines, or similar orchestration tools. Required 3 Years
• Proficiency in SQL, Python, or PySpark for transformation logic and data cleansing workflows. Required 3 Years
• Experience with Delta Lake, Azure Data Lake Storage Gen2, JSON, and Parquet formats. Required 3 Years
• Ability to build modular, reusable pipeline components using metadata-driven approaches and robust error handling. Required 3 Years
• Familiarity with public data sources, government transparency datasets, and publishing workflows. Required 3 Years
• Knowledge of data masking, PII handling, and encryption techniques to manage sensitive data responsibly. Required 3 Years
• Experience with data quality frameworks, including automated validation, logging, and data reconciliation methods. Required 3Years
• Strong grasp of DevOps/DataOps practices, including versioning, testing, and CI/CD for data pipelines. Required 3 Years
• Experience supporting data publishing for oversight, regulatory, or open data initiatives is highly desirable. Required 3 Years
• Certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect are a plus. Highly desired 3 Years