Data Engineer – Experienced Associate

Jobtailor; Arizona; On-site; USD 70,000 - 110,000; Full time

Job summary

Jobtailor is seeking a data professional in the United States (Arizona) to develop and implement data-driven solutions that optimize business performance. You will work with ETL, data pipelines, and data architecture to build robust DBMS and deliver insights through BI tools.

Collaboration and rapid delivery in regulated environments are key. Qualifications include a Bachelor's degree and 1+ year of experience, with proficiency in Python/Java and data visualization tools.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 1+ year of professional experience in data-related roles.
• Preference for studies in Computer and Information Science, Economics or Engineering.
• Proficiency in Python and Java.
• Experience with data visualization tools like QlikView and Spotfire is a plus.
• Experience building BI solutions with Oracle BI.
• Knowledge of data architecture development and management.
• Understanding of macroeconomic and microeconomic analysis.

Responsibilities

• Develop data-driven solutions to optimize business performance (data engineering, ETL).
• Leverage advanced analytics to provide strategic insights for clients (SQL optimization).
• Build and maintain data pipelines to support data collection and analysis (DataStage).
• Utilize BI tools such as Oracle BI and QlikView to create reports and dashboards (DB2, SQL Server).
• Collaborate with team members to analyze data from various sources to identify patterns.
• Apply data architecture development to design and maintain robust DBMS (snowflake models).
• Engage in continuous process improvement to enhance data quality and integrity.
• Support client engagement by listening to diverse perspectives and needs (regulated environments).
• Participate in developing business cases and market strategies through data analysis.
• Adapt to a fast-paced environment and take ownership of tasks (job scheduling, UNIX).

Skills

data engineering

ETL

SQL optimization

data pipelines

data architecture

database management systems

data analysis

data visualization

macroeconomic analysis

microeconomic analysis

Education

Bachelor's degree

Computer and Information Science

Economics

Engineering

Operations Management/Research

Statistics

Tools

DataStage

Oracle BI

QlikView

DB2

SQL Server

UNIX

Job description

Responsibilities

• Developing and implementing data‑driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL).
• Leveraging advanced analytics techniques to provide strategic insights and drive informed decision‑making for clients (SQL optimization).
• Building and maintaining data pipelines to support efficient data collection and analysis (DataStage).
• Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server).
• Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions).
• Applying data architecture development skills to design and maintain robust database management systems (snowflake models).
• Engaging in continuous process improvement to enhance data quality and integrity.
• Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments).
• Participating in the development of business cases and market development strategies through data analysis and interpretation.
• Adapting to a fast‑paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX).

Requirements

• At least a Bachelor's degree.
• At least one year of experience.
• Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
• Demonstrating proficiency in Python and Java programming languages.
• Utilizing data visualization tools like QlikView and Spotfire.
• Developing business intelligence solutions using Oracle BI.
• Engaging in data architecture development and management.
• Applying macroeconomic and microeconomic analysis skills.
• Excelling in data analysis and interpretation techniques.

Hard Skills

• data engineering
• ETL
• SQL optimization
• data pipelines
• data architecture
• database management systems
• data analysis
• data visualization
• macroeconomic analysis
• microeconomic analysis

Soft Skills

• collaboration
• active listening
• adaptability
• ownership
• process improvement