Data Engineer: Build Pipelines, ETL/ELT & BI Dashboards

Phaxis; Dallas (TX); On-site; USD 110,000 - 120,000; Full time

Job summary

Phaxis in Dallas, TX is seeking a data engineer to design, build, and maintain scalable data pipelines and analytics solutions. You will work with data analysts and business teams to transform raw data into actionable insights using Python, SQL, and modern data warehousing concepts.

The role emphasizes ETL/ELT processes, data modeling, data quality, and reliable data delivery. You will support BI dashboards with Power BI, Tableau, or Looker and collaborate across engineering and product teams.

Qualifications

• Proficient in Python and SQL for data manipulation.
• Experience with ETL/ELT pipeline design.
• Strong data warehousing and modeling knowledge.
• Experience building BI dashboards with Power BI/Tableau/Looker.
• Ability to work with cross-functional teams.
• Attention to data quality and security.

Responsibilities

• Develop and maintain scalable data pipelines using Python and SQL.
• Build ETL/ELT processes to collect, transform, and load data from multiple sources.
• Design and optimize data warehouses, databases, and data models.
• Write complex SQL queries for data transformation, analysis, and reporting.
• Ensure data quality, accuracy, security, and reliability.
• Support BI dashboards and reporting using tools such as Power BI, Tableau, or Looker.
• Partner with analysts and business stakeholders to understand data requirements.
• Troubleshoot data pipeline and performance issues.
• Automate repetitive data-processing and reporting tasks.
• Document data pipelines, processes, and data models.

Skills

Python

SQL

ETL/ELT pipelines

Data warehousing concepts

BI platforms

Data modeling

Analytical thinking

Tools

Power BI

Tableau

Looker

Airflow

dbt

Snowflake

Databricks

Job description

Phaxis in Dallas, TX is seeking a data engineer to design, build, and maintain scalable data pipelines and analytics solutions. You will work with data analysts and business teams to transform raw data into actionable insights using Python, SQL, and modern data warehousing concepts.

The role emphasizes ETL/ELT processes, data modeling, data quality, and reliable data delivery. You will support BI dashboards with Power BI, Tableau, or Looker and collaborate across engineering and product teams.