Power BI

Dashboard Operations Leadership Innovation Databricks Scalability Data Quality Data Science Communication Data Analysis Data Modeling Data Pipelines Synapse Citrix Microsoft Azure Problem Solving Azure Data Lake Data Governance Data Management Database Design Computer Science Data Integration Machine Learning Data Engineering Data Manipulation Data Architecture Project Management Value Propositions Advanced Analytics Business Valuation Azure Data Factory Data Visualization Data Preprocessing Workflow Management Information Systems Data Infrastructure Predictive Analytics International Finance Business Intelligence Full Stack Development Leadership Development Artificial Intelligence Business Transformation Azure Synapse Analytics R (Programming Language) SQL (Programming Language) Data-Driven Decision Making Business Intelligence Tools Extract Transform Load (ETL) Cloud Computing Architecture Python (Programming Language) Developing Training Materials Troubleshooting (Problem Solving) Frontline Decision-Making Autonomy Business Intelligence (BI) Solutions SQL Server Integration Services (SSIS), We are currently seeking a Data Engineer to join our team. This role will support our data-driven decision-making processes by analyzing and visualizing complex datasets, implementing modern data management tools, and collaborating with cross-functional teams to derive actionable insights. The individual will work closely with business teams to understand data needs, manage and improve data pipelines, and drive the transformation of our data infrastructure to a modern, scalable platform. Additionally, this role will support our broader efforts in implementing machine learning and advanced analytics capabilities to enhance business decision-making., To include, but not limited to the following:

• Design, implement, and maintain data architecture to support business intelligence and reporting needs.

• Build and manage data pipelines to integrate, clean, and transform data across systems (ETL processes).

• Collaborate with business teams to understand data requirements and deliver scalable data solutions.

• Monitor data quality and optimize data flows to ensure accuracy, integrity, consistency, and compliance with organizational standards.

• Troubleshoot and resolve data-related issues promptly.

• Assist in migrating existing data infrastructure to modern, cloud-based platforms, ensuring scalability and reliability.

• Develop and implement business intelligence solutions, including reports, dashboards, and data visualizations.

• Create and maintain data models and database designs that align with business needs.

• Support machine learning initiatives by preparing data for analysis and modeling.

• Provide actionable recommendations based on data analysis to support executive and operational decision-making.

• Lead and participate in data governance and quality initiatives, adhering to best practices and standards.

• Develop training materials and conduct sessions to ensure effective use of data tools across teams.

• Stay abreast of emerging trends in data analytics and suggest ways to implement innovative solutions.

1. 5+ years in data engineering building and managing data pipelines to integrate, clean, and transform data across systems (ETL processes).
2. Strong knowledge of data modeling, database design, and ETL processes with advanced SQL skills and Python skills.
3. Must have experience with Azure Datalake using Synapse or Databricks or Fabric.
4. Must have Azure Data Factory experience., * Bachelor’s degree in computer science, Data Science, Information Systems, or a related field (or equivalent experience).

• 5+ years of experience in data engineering, or a similar role.

• Strong knowledge of data modeling, database design, and ETL processes.

• Advanced SQL skills for querying and data manipulation.

• Proficiency in the Microsoft Azure ecosystem, including Azure Data Factory, Azure Synapse Analytics, Azure Purview, and Azure SQL Database.

• Strong experience with Power BI for data visualization.

• Experience with data integration tools (e.g., Azure Data Factory, SSIS, or similar).

• Hands-on experience with business intelligence tools.

• Strong problem-solving skills and ability to work on complex technical challenges.

Preferred:

• Familiarity with Databricks for data engineering and analytics.

• Knowledge of data governance, privacy, and cataloging principles.

• Familiarity with machine learning workflows and data preparation for predictive analytics.

• Experience with Python or R for data analysis.

• Knowledge of cloud architecture and modern data platforms.

• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.

• Experience in project management and cross-functional collaboration., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Our client is a global, market-leading business services provider of safety and specialty services in over 500 locations worldwide. They are committed to becoming the #1 people-first company, delivering innovative solutions for their customers. As they grow, they continue to empower their leaders and develop talent across the organization., Our client is a global, market-leading business services provider of safety and specialty services in over 500 locations in approximately 20 countries. They have a winning culture driven by entrepreneurial business leaders to deliver innovative solutions for their customers. As a family of companies working together, they have the parts to make any project whole.

Their mission is clear: We Build Great Leaders. They believe that everyone is a Leader, and one of their core pillars of success is a distinct leadership development culture. They provide internally developed, cross-functional development programs across their businesses. Their culture of investing in leadership development at all levels of the organization has created an empowered, entrepreneurial atmosphere that facilitates organizational sharing of knowledge and best practices and enables the development of cross-brand solutions and innovation., We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.