Data Engineer - Python, R programming, SQL

Location: Richardson, TX

Hybrid - 2 days work from office

Skills: Python, R programming, SQL

We are seeking a versatile and technically proficient Data Professional to join our team in Richardson. This role is designed for someone who thrives at the intersection of data engineering and advanced analytics. You will be responsible for building robust data pipelines, performing complex statistical modeling, and translating raw data into actionable business insights.

The ideal candidate is a "polyglot" coder who can seamlessly transition between R for statistical analysis and Python for application logic and automation, while maintaining high-performance SQL scripts to power our backend data structures.

Key Responsibilities

• Data Development: Design, develop, and maintain automated data pipelines and scripts using Python and R to support large-scale data processing.

• Statistical Modeling: Utilize R to perform deep-dive statistical analysis, hypothesis testing, and predictive modeling to solve complex business problems.

• Database Management: Write and optimize complex SQL queries, stored procedures, and views to extract data from relational databases.

• Advanced Reporting: Build sophisticated automated reporting tools and financial models within MS Excel using advanced formulas, Power Query, or VBA/Macros where necessary.

• Process Automation: Identify manual data workflows and replace them with efficient, scalable Python or R-based automation scripts.

• Collaboration: Work closely with cross-functional teams to define data requirements and deliver technical solutions that meet business objectives.

Required Technical Skills

• Programming: Mastery of Python (Pandas, NumPy, Scikit-learn) and R (tidyverse, ggplot2, Shiny) for data manipulation and visualization.

• Database: High proficiency in SQL (PostgreSQL, SQL Server, or Oracle) including performance tuning and schema design.

• Excel Mastery: Advanced knowledge of MS Excel, including Pivot Tables, VLOOKUP/XLOOKUP, Power Pivot, and complex nested logic.

• Environment: Experience working in a hybrid environment, with the ability to collaborate effectively during in-office days in Richardson.

Qualifications

• Education: Bachelor s degree in Computer Science, Statistics, Mathematics, Data Analytics, or a related quantitative field.

• Experience: 3+ years of professional experience in a data-centric role (Data Engineer, Data Scientist, or Senior Data Analyst).

• Communication: Ability to explain complex technical findings to non-technical stakeholders.

• Flexibility: Must be able to commute to the Richardson, TX office every Tuesday and Thursday