Data Engineer

Dashboard Operations Data Lakes Scalability Forecasting Data Analysis Data Modeling Data Pipelines Apache Iceberg Data Structures Computer Science Algorithm Design Machine Learning Data Warehousing Stored Procedure Anomaly Detection Business Valuation Data Visualization Big Data Application Business Intelligence Full Stack Development Object-Oriented Design Distributed Data Store Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Key Performance Indicators (KPIs) Troubleshooting (Problem Solving) Tableau (Business Intelligence Software), Architect, construct, and maintain robust, scalable data pipelines and complex ETL workflows.

Manage and optimize data models within modern Data Lakes and cloud data warehouses.

Administer operational monitoring, log analytics, and troubleshooting of data infrastructure.

Collaborate with cross-functional teams to understand data needs and translate them into scalable solutions .

3-5 years of experience in Data Engineering.

Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

Deep experience with Splunk, including data handling, building dashboards, and developing ETL processes to move data from Splunk into data warehouses.

Experience building ETL pipelines and implementing Business Intelligence (BI) concepts on Cloud data warehouses (e.g., Snowflake).

Experience with Data Lake technologies (specifically Apache Iceberg).

Experience developing highly optimized SQL queries, stored procedures, and semantic processes for distributed data applications.

Preferred Qualifications

5 or more years of experience building enterprise-level data applications on distributed systems.

Experience developing Big Data applications using Spark and Kafka.

Solid understanding of the fundamentals of object-oriented design, data structures, algorithm design, and problem-solving.

Experience with analytics and data visualization tools such as Tableau and Streamlit.

Working experience generating and visualizing data insights, metrics, and KPIs, as well as using basic ML models for anomaly detection, forecasting, and GenAI.

Education

Bachelors or Masters degree in Computer Science or a related field, 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.

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., Were 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. Were 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. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were 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.