Data Engineer

Job Description

Location: Remote/Prefers someone to work in the central time zone

Pay Range: $55.00 - 67.00/hour W2

Contract Duration: 12+ Potential to extend

Summary:

Client Commerce Engineering Operations is building next-generation business analytics and decision support capabilities to enable modern, data-driven engineering management and business optimization.

Being data-driven is central to who we are and how we operate.

We are looking for someone who deeply appreciates the power of answering business questions with data, who loves to design data to solve problems, and who loves to automate things to create game-changing insights that drive quick, informed decision-making.

The Work:

Build collaborative relationships to solve problems with data.

Acquire operational domain knowledge through collaboration with management and engineering teams.

Build data solutions in Python, SQL, and Cloud-Native ETL tools to answer business questions.

Analyze data sources to implement data preprocessing and transformation/aggregation algorithms in Python.

Perform feature engineering to answer breakthrough business and operational questions.

Build visualizations in Power BI and AWS QuickSight.

Document and present ongoing work and data insight to business stakeholders.

Skills:

5+ years of professional experience in the development, and operations of ETL and data analytics applications.

5+ years of experience building RDBMS (SQL) solutions.

3+ years of experience doing exploratory data analysis in Python (NumPy, Pandas).

3+ years of experience with AWS technologies (S3, Redshift, Glue, Lambda).

Experience building ETL data pipelines, data quality checks, and data anomaly detection and notification systems.

Experience working with CI/CD technologies and cloud infrastructure services.

Must be highly effective in written and verbal communication and be comfortable presenting problems and solution hypotheses.

Preferred Qualifications

Talend experience.

MLOps experience building, training, running, and managing machine learning models in production.

Education:

Undergraduate degree in Computer Science, Data Science, a related technical field or comparable work experience.

Benefits:

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.Company Description

Russell Tobin is an equal-opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.