#Eng-IT-01

We are seeking a customer experience-focused professional to join our team of subject matter experts and developers. You will design and implement innovative data automation solutions for Azure cloud-based data lakes, SQL, and NoSQL platforms. In this role, you will translate business requirements into data engineering and AI-based solutions to support an enterprise-scale Microsoft Azure-based data analytics and reporting platform. Our ideal candidate is mission-focused, delivery-oriented, and applies critical thinking to create innovative functions and solve technical issues.

Responsibilities

Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, and stored procedures to develop high-performing data pipelines.
Continuously improve and optimize the automation toolset for reliability, scalability, and adaptability.
Research and implement cutting-edge AI/ML and GenAI tools to rapidly develop intelligent applications, scripts, and ETL pipelines that automate data processes and proactively eliminate workflow bottlenecks.
Work closely with implementation specialists, engineering teams, and customers to understand data-driven needs and build solutions that address real operational challenges.
Identify, create, and prepare data required for advanced analytics, visualization, reporting, and AI/ML.
Implement data migration, data integrity, data quality, metadata management, and data security functions to optimize data pipelines.
Monitor and troubleshoot data-related issues to maintain high availability and performance.
Actively support Agile DevOps processes, including Program Increment planning.
Engage in continuous learning to increase relevant skills.
Maintain strict versioning and configuration control to ensure the integrity of data.

Qualifications

BS degree in Computer Science or related field and 2 years of experience in a relevant field.
2 years of experience with more than one of the following scripting languages: SQL, T-SQL, MDX/DAX, Python, and PySpark.
Experience designing and building ETL/data engineering solutions, scheduling, and monitoring utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
Experience working with Microsoft database and business intelligence tools, including SQL Server, stored procedures, SSIS, SSRS, SSAS (cubes), and Power BI.
Experience with data automation using Azure/AWS CLI tools with Bash or PowerShell scripting.
Familiarity with Azure DevOps Repos or GitHub and pipeline versioning/release management.
Demonstrated experience in supporting production, testing, integration, and development environments.
Open mindset and ability to quickly adapt to new technologies to solve customer problems.
Experience in Agile projects, working with a multifunctional team.
Detail-oriented and able to support multiple projects and tasks.
Demonstrated continuous learning to increase relevant skills.
US Citizenship and ability to successfully obtain a government-issued Public Trust clearance.

Preferred Qualifications

Experience and/or certifications in Generative AI development, Generative AI for Data Analytics, and solution delivery.
Microsoft certification in Azure fundamentals, data engineer, Power BI, AI, or AWS certified data engineer.
Integration knowledge using enterprise/open-source ETL toolsets, REST API, Docker.
Experience or exposure to performance fine-tuning (indexing, execution plans, views), data profiling, and query analytics.
Knowledge of security compliance standards with data encryption, cloud virtual networks, routing, firewalls, log analytics, monitors.
Basic knowledge of ARM or Bicep templates for automation, familiarity with RBAC access controls.
Data lineage and impact analysis using tools like Purview, Synapse pipeline tracing, etc.

This is a remote role.

Benefits
PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.

Equal Opportunity Employer (EEO)
PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.

Candidate Privacy
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/

AI Recruiting Disclosure
We use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.

PEAK Technical Services Inc.

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