Data Analytics Engineer — Pipelines & Dashboards (Hybrid)

CHIPTON-ROSS Inc.; Grand Prairie (TX); Hybrid; USD 70,000 - 110,000; Full time

Job summary

Chipton-Ross is seeking a Data Analyst for a hybrid contract opportunity in Grand Prairie, TX. The role focuses on building data pipelines, cleaning and integrating data from multiple sources, and delivering insightful dashboards with Tableau.

The ideal candidate will have strong Python scripting, AWS experience, and solid SQL abilities, plus a demonstrated ability to collaborate with data scientists and developers to drive business outcomes.

Qualifications

• Bachelor's degree required; accredited program.
• Experience turning unstructured documents into clean data.
• Ability to design keys/joins across datasets for data modeling.
• Experience building deterministic data pipelines via ETL and validation.
• Production-level scripting in Python; not just notebooks.
• Familiarity with AWS core services: S3, Lambda, boto3.
• Knowledge of data cleaning and data integration workflows.
• Experience with dashboard tools such as Tableau.

Responsibilities

• Develops, inspects, mines, transforms, and models data to raise productivity and improve decision making.
• Conducts statistical analysis to support predictive forecasting and classification.
• Manages end-to-end data processing and customized reporting.
• Maintains analytical systems and ensures data accuracy; liaises with business teams.
• Collaborates with developers and data scientists to define outcomes and governance.

Skills

Python

AWS

Data Cleaning

Data Integration

Data modeling

SQL

Document processing

Dashboarding

Databricks

API development

Education

Accredited Bachelor's Degree

Tools

Tableau

Job description

Chipton-Ross is seeking a Data Analyst for a hybrid contract opportunity in Grand Prairie, TX. The role focuses on building data pipelines, cleaning and integrating data from multiple sources, and delivering insightful dashboards with Tableau.

The ideal candidate will have strong Python scripting, AWS experience, and solid SQL abilities, plus a demonstrated ability to collaborate with data scientists and developers to drive business outcomes.