Data Engineer

Ledgent Technology; Greenwood Village (CO); On-site; USD 70,000 - 90,000; Full time

Job summary

Ledgent Technology is seeking an entry-level Data Engineer to join a data-focused team and grow hands-on with Azure, Snowflake, ETL development, and data analytics. You will work directly with modern cloud technologies and large datasets to build end-to-end data pipelines.

This role is designed for recent graduates or early-career professionals eager to gain real-world experience in data engineering, cloud platforms, and reporting. Full-time onsite with mentorship and growth opportunities.

Qualifications

• Bachelor's degree or equivalent in a technical field or practical experience.
• Strong SQL and relational database knowledge.
• Exposure to cloud data platforms like Azure or Snowflake.
• Experience with Python and/or C# and ETL tooling.

Responsibilities

• Develop and support data solutions using Azure SQL and Snowflake.
• Write and optimize SQL queries to analyze data and validate results.
• Perform data comparisons and reconciliation across datasets.
• Build and maintain ETL processes using Azure Data Factory and SSIS.
• Execute data loads and QA checks to ensure data accuracy.
• Collaborate with team to support data delivery and reporting needs.
• Create and maintain technical documentation and procedures.

Skills

SQL

Relational DBs

Azure

Snowflake

Python

C#

ETL

Data analytics

Communication

Education

Bachelor's degree or equivalent

Tools

Azure Data Factory

SSIS

Job description

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