Data Analyst

DataStaff, Inc.; Virginia (MN); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative staffing firm is seeking a skilled Data Analyst for a long-term contract opportunity. This role focuses on designing and delivering secure, scalable data pipelines in Azure, ensuring the integration and transformation of sensitive datasets. You will collaborate with a dynamic software development team in an Agile environment, utilizing Azure-native tools to build robust ETL/ELT workflows. The position offers a competitive benefits package, including medical, dental, and vision coverage, along with long-term opportunities for career growth. If you are passionate about data quality and responsible data use, this is the perfect opportunity for you.

Benefits

Medical insurance

Vision insurance

401(k) program

Paid vacation

Sick leave

Holiday leave

Qualifications

• 3+ years of experience in building ETL/ELT pipelines using Azure tools.
• Proficiency in SQL, Python, or PySpark for data transformation.

Responsibilities

• Design and deliver secure data pipelines in Azure.
• Build ingestion workflows for reporting and analytics.

Skills

ETL/ELT pipelines

Azure Data Factory

SQL

Python

Data quality frameworks

DevOps/DataOps practices

Data masking

Public data sources

Education

Bachelor's degree in Computer Science or related field

Certifications such as DP-203

Tools

Azure Data Factory

Azure Data Lake Storage Gen2

Synapse Pipelines

Job description

DataStaff is seeking a Data Analyst for a long-term contract opportunity with a direct client in Richmond, VA.

* This position is remote; however, the selected candidate must pick up equipment on-site.

Responsibilities:

• Support the design and delivery of secure, scalable, and traceable data pipelines in Azure, focusing on integrating and transforming sensitive, public-facing datasets.
• Build ingestion workflows and transformation logic to support reporting, analytics, and public transparency initiatives.
• Work with an existing software development team in an Agile/Scrum environment.
• Require experience with Azure-native tools, strong ETL/ELT capabilities, and a commitment to data quality, auditability, and responsible data use.

Required Skills:

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

Desired Skills:

• 3 years of certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect is a plus.

Additional Information:

This opportunity is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental, and vision coverage, paid vacation, sick, and holiday leave. Long-term opportunities include a 401(k) program after 6 months.

Job Details:

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Information Technology
• Industries: Staffing and Recruiting

Referrals can double your chances of interviewing at DataStaff, Inc.

Inferred Benefits:

Medical insurance, vision insurance, 401(k).

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