Data Engineer

Salary: USD70000 - USD90000 per year Work Arrangement: Fully Onsite Employment Type: Full-Time, Direct Hire Compensation: $75,000 - $90,000 base salary, depending on experience Launch Your Data Engineering Career Are you passionate about data and looking for an opportunity to build your technical skills in a hands‑on environment? We're seeking an Entry-Level Data Engineer to join a growing data-focused organization where you'll work directly with modern cloud technologies, large datasets, and end-to-end data pipelines. This is an excellent opportunity for a recent graduate or early-career professional eager to gain real-world experience in data engineering, cloud platforms, ETL development, and data analytics. What You'll Do As a Data Engineer, you'll play a key role in supporting critical data operations and delivering high-quality data solutions. Responsibilities include: Develop, enhance, and support data solutions using Azure SQL and Snowflake Write and optimize SQL queries to analyze data, identify discrepancies, and validate results Perform data comparisons and reconciliation activities across multiple datasets Utilize SQL concepts including joins, subqueries, and data validation techniques Build, maintain, and troubleshoot ETL processes using Azure Data Factory and SSIS Execute data loads, perform quality assurance checks, and ensure data accuracy Collaborate with team members to support data delivery and reporting needs Create and maintain technical documentation and operational procedures What We're Looking For Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related technical field, or equivalent practical experience Strong foundation in SQL and relational database concepts Exposure to cloud data platforms such as Microsoft Azure , Snowflake , or similar technologies Experience with or coursework in Python and/or C# Familiarity with ETL tools, data integration, or data pipeline development Strong analytical and problem-solving skills Ability to manage multiple priorities and work effectively in a collaborative environment Excellent communication and documentation skills Preferred Qualifications Experience with Azure Data Factory, SSIS, or other ETL tools Academic projects, internships, or personal projects involving data engineering or analytics Familiarity with data warehousing concepts and modern data architectures Why Join Us? Build hands‑on experience with industry-leading technologies including Azure and Snowflake Gain exposure to large‑scale data operations and enterprise data environments Work closely with experienced technical professionals in a collaborative team setting Accelerate your career growth through meaningful project work and mentorship Make a direct impact on how data is managed, validated, and delivered across the organization #J-18808-Ljbffr Ledgent Technology