Data Engineer

Date Posted: 08/29/2025

Hiring Organization: Rose International

Position Number: 487850

Industry: Telecommunications

Job Title: Data Engineer

Job Location: Remote, USA

Work Model: Remote

Work Model Details: Remote from home (PST & MST)

Shift: Regular business hours

Employment Type: Temporary

FT/PT: Full-Time

Estimated Duration (In months): 13

Min Hourly Rate ($): 65.00

Max Hourly Rate ($): 80.00

Must Have Skills/Attributes: Dashboards, Data Mining, Databricks, Oracle, Python, Scala, Snowflake, SQL, Tableau

Experience Desired: Exp. designing & maintaining scalable data pipelines using Databricks (Spark/Scala/Python/QL) (7+ yrs); Tableau dashboard development (parameters, performance optimization, & data-driven visualization) (7+ yrs); Strong SQL development skills for data extraction, transformation, and performance tuning (7+ yrs); Expertise in Snowflake data loading and update patterns (7+ yrs)

Required Minimum Education: Bachelor’s Degree

**C2C is not available**

Job Description

***Only Senior Data Engineer candidates located within the PST or MST time zones to be considered due for this remote the position. ***

***Qualified candidates must be available to work directly for Rose International on a W2 basis. Not a corp-to-corp opportunity***

Required Skills, Experience, & Abilities:

- Hands-on experience designing and maintaining scalable data pipelines using Databricks (Spark/Scala/Python/Sql) and Snowflake

- Strong SQL development skills for data extraction, transformation, and performance tuning

- Ability to conduct source-to-target data reconciliation, auditing, and anomaly detection across large datasets

- Proven experience troubleshooting Spark performance issues

- Expertise in Snowflake data loading and update patterns

- Tableau dashboard development, including parameters, performance optimization, and data-driven visualization

- Solid understanding of data validation lifecycle

Preferred Skills:

- Familiarity with advanced data profiling, anomaly detection techniques, and predictive modeling for identifying inconsistencies

- Experience collaborating with business stakeholders to translate analytical requirements into reliable data products

- Knowledge documenting data lineage, pipeline logic, and metadata management practices

- Strong communication skills with the ability to clearly explain technical findings to non-technical stakeholders

- Demonstrated ability to work independently with minimal oversight while managing priorities effectively

Role & Responsibilities:

• Design, build, and maintain scalable and auditable data pipelines using Databricks (Spark/Scala/Python/SQL) and Snowflake

• Own the data validation lifecycle—including source-to-target reconciliation using Oracle, data profiling, and anomaly detection

• Conduct deep-dive data mining to uncover patterns, inconsistencies, and opportunities for business action.

• Develop and maintain data visualizations and dashboards in Tableau to support transparency and decision-making

• Implement data quality checks and automated alerting for pipeline failures, anomalies, and audit flags

• Collaborate with analysts, scientists, and business stakeholders to gather requirements, and deliver reliable data products.

• Optimize existing pipelines for performance, scalability, and operational simplicity

• Document data lineage, pipeline logic, and metadata clearly and consistently

**Only those lawfully authorized to work in the designated country associated with the position will be considered. **

**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements. **

Benefits:

For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.