Data Engineer - Hybrid, Scalable Pipelines & Analytics

Ascend Learning, LLC; Leawood (KS); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Flexible and generous paid time off

401(k) employer matching program

Tuition reimbursement

Wellness resources

Job summary

Ascend Learning, LLC is looking for a Data Engineer responsible for designing and maintaining data pipelines and architectures. You will collaborate with data scientists and analysts to support data-driven decision-making. This position is hybrid, based in Leawood, KS or Burlington, MA, with remote options available in the United States.

The ideal candidate will have a Bachelor's degree and a strong background in data warehousing, SQL Server, and Snowflake, with experience in ETL tools and cloud platforms.

Qualifications

• Bachelor's degree in Computer Science or related field preferred.
• 3+ years of experience in a data engineering role.
• Proficient with SQL Server and Snowflake for data management.
• Strong problem-solving and analytical skills.

Responsibilities

• Design and implement data models and schemas in SQL.
• Maintain data quality and consistency across the organization.
• Collaborate with stakeholders to understand data requirements.
• Monitor and troubleshoot data pipelines and databases.

Skills

Data warehousing and ETL processes

SQL Server

Snowflake

Kafka

Azure Data Factory

Python

Java

Data governance and security

Data modeling

Data visualization tools

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

ETL tools (ADF, SSIS)

Cloud platforms (AWS, Azure, Google Cloud)

Job description

Ascend Learning, LLC is looking for a Data Engineer responsible for designing and maintaining data pipelines and architectures. You will collaborate with data scientists and analysts to support data-driven decision-making. This position is hybrid, based in Leawood, KS or Burlington, MA, with remote options available in the United States.

The ideal candidate will have a Bachelor's degree and a strong background in data warehousing, SQL Server, and Snowflake, with experience in ETL tools and cloud platforms.