Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Data Engineer

Job

Blue Learning

Lewisville, TX (In Person)

$84,000 Salary, Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/21/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

out of 100

Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Data Engineer Blue Learning Lewisville, TX Job Details Full-time $75,000 - $93,000 a year 4 hours ago Qualifications Data Integration (Data management) Stored procedures SQL ETL process automation Query execution time improvement Technical troubleshooting support API integrations Python Debugging Production troubleshooting

Full Job Description Description:

We are looking for a motivated Data Engineer to join our growing data team. This role is ideal for a beginner-to-intermediate professional who is excited to help build, maintain, and optimize modern data pipelines, ensuring the organization has access to clean, reliable data. You will work closely with relational databases, cloud data warehouses, and modern orchestration tools while supporting analytics initiatives across the company. This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt, Dagster, BigQuery) while enjoying a high degree of autonomy.

Requirements:

Core Responsibilities Pipeline Development:

Design, build, and optimize robust ETL/ELT data pipelines to ingest data from legacy ODBC databases and modern third-party APIs .

Data Transformation:

Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models.

Orchestration:

Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early.

Database Management:

Work across both SQL Server and Google BigQuery , managing data structures and optimizing queries.

Data Quality & Governance:

Support data validation, troubleshooting efforts, and documentation of data governance best practices.

Stakeholder Support:

Collaborate with analytics teams to deliver clean datasets for reporting and support dashboard initiatives in Tableau or other BI Tools as required. Other duties as required.

Required Skills & Qualifications Experience:

1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

Strong SQL Skills:

Proficiency in writing, debugging, and optimizing complex queries and stored procedures.

Python Proficiency:

Ability to write clean Python scripts for data manipulation, automation, and interacting with APIs.

ETL/ELT Concepts:

Solid understanding of data pipeline development and

API/ODBC

integrations.

Technical Troubleshooting:

Proven ability to troubleshoot data issues and work independently.

Preferred Qualifications & Nice-to-Haves Modern Data Stack:

Familiarity with dbt (data build tool) and Dagster (or similar tools like Airflow). Google Cloud Platform (GCP): Familiarity with BigQuery, Google Cloud Storage (Buckets), and Google Drive integrations.

Data Visualization:

Experience with Tableau or similar BI tools to understand downstream data consumption.

Version Control:

Basic experience with Git/GitHub .

Agile Mindset:

Experience working in fast-paced environments with an interest in automation and process improvement. Agentic agent development knowledge is a plus.