Azure Data Engineer

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Professional Albuquerque, NM, US

Salary Range: $ To $ Annually

Location: REMOTE

We are seeking an experienced Azure Data Engineer with proven ability to evaluate, optimize, and modernize enterprise data warehouse environments. The role combines deep technical skills with practical data integration expertise to deliver secure, scalable, and future‑ready solutions in alignment with the government’s evolving Data/AI strategies.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field (or equivalent experience).
• 5+ years of demonstrated experience engineering Azure data solutions (ETL/ELT, ADF, Synapse, Data Lake, SQL) to optimize performance, automate pipelines, and deliver scalable, future‑ready data environments aligned to organizational strategy.
• Background in SQL, data modeling, OLAP, and ETL/ELT processes.
• Experience building and optimizing metadata‑driven ETL pipelines.
• Familiarity with BI/reporting platforms (Microsoft Fabric, Power BI) to integrate engineering solutions.
• Ability to adapt quickly in large‑scale enterprise implementation environments.
• Must be a U.S. Citizen with an Active US Secret Clearance.

• Microsoft Azure Data Engineer Associate certification.

• Power BI Data Analyst Associate
• MS Azure Solutions Architect Expert
• ITIL v4 Foundation
• SAFe Agile certifications (Agilist/Practitioner)

• Experience with data governance, metadata management, and compliance frameworks.
• AWS Certified Data Analytics – Specialty or Google Professional Data Engineer
• Knowledge of AI/ML integrations in data analytics.
• Familiarity with government or regulated industry data environments.

• Excellent communication and collaboration skills.
• Ability to translate technical solutions into business value.
• Proactive, solution‑oriented mindset with flexibility to adapt.

• Assess the current state of the enterprise data warehouse, identifying gaps and optimization opportunities.
• Build and maintain ETL/ELT pipelines, with emphasis on metadata models and automation scripts to improve performance and ensure smoother transitions.
• Deliver hands‑on engineering solutions across Azure Data Factory, Synapse Analytics, Data Lake, and SQL/Managed Instances.
• Prepare designs for supporting database systems and implement measures to improve performance and scalability.
• Collaborate with cross‑functional teams to align engineering delivery with strategic objectives and roadmap execution.
• Maintain awareness of industry trends in BI/reporting (Microsoft Fabric, Power BI) and apply them in support of engineering tasks.
• Support projection planning (must have at a minimum of 1–2 year execution roadmap; 3–5 year scalability alignment planning experience).
• Develop, enhance, and troubleshoot pipelines, datasets, SQL queries, stored procedures, and integrated runtimes in the Azure data environment.
• Manage connections between the data factory, SQL managed instances, Power BI, Power Apps, and external/on‑prem environments.
• Research, engineer, and implement new technologies to enhance data factory operations, migrations, and integrations.
• Document all new and current configurations, implementations, and developments to ensure continuity and support.

Remote with hybrid work environment. Occasional travel for client engagement, industry events, contract negotiations, or at Attain

X facility. Reside within a commutable distance of Silver Spring, MD to work onsite as required.

Attain

X is an equal employment opportunity employer. We are committed to providing a workplace that is free from discrimination based on Title VII of the Civil Rights Act, VEVRAA, Section 503, and other protected status under applicable federal, state, local, or international law.

If you are an individual with a disability and would like to request a reasonable workplace accommodation, please email Human Resources with the specifics of the assistance needed.

Sitting and working on a computer for long, continuous periods each day; effective communications by telephone, email, and face‑to‑face; standing, walking, and sitting; handling and feeling objects or controls; reaching; talking and hearing; lifting and/or moving up to 10 pounds; and specific vision abilities including close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust and focus.

The noise level in the work environment is usually moderate.