Entry Level Analytics Engineer Jobs in Austin, TX

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Your role and responsibilities

As an Associate Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You\'ll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you\'ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you\'ll tackle obstacles related to database integration and untangle complex, unstructured data sets.

These positions are anticipated to start in 2027.

Key Responsibilities may include:

• Assisting in designing and implementing scalable data architecture and management systems tailored for modern cloud environments.
• Work on optimizing existing data pipelines and processes for improved performance.
• Work with ETL/ELT ingestion pipelines.
• Collect and analyze data to identify trends, providing clients with actionable insights to enhance marketing, operational, and business practices.
• Participate in troubleshooting data-related issues, working to solve challenges and data inconsistencies.
• Create visually compelling and user-friendly data visualizations, dashboards, and reports to effectively communicate findings to both technical and non-technical stakeholders.
• Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures.
• Work with the project team to prioritize and translate Client requirements and define current and future operational scenarios (processes, models, use cases, plans, and solutions). Work collaboratively with the Client and the Architect to ensure proper translation of business requirements to solution requirements.
• Present analytical findings and recommendations clearly and concisely, demonstrating the value of data-driven decision-making to clients.

Consulting Skills:

• Advocates business process transformation by analyzing application portfolios across the ecosystem to identify process optimization and automation opportunities, leveraging planning, project management, and Agile methodologies to drive effective solutions.
• Demonstrates strong communication, problem-solving, adaptability, and teamwork skills, with a collaborative mindset, curiosity to learn, and the ability to clearly articulate ideas, ask insightful questions, and recommend solutions.

Required education

High School Diploma/GED

Preferred education

Bachelor\'s Degree

Required technical and professional expertise

• Ability to incorporate a variety of statistical and machine learning techniques.
• Basic understanding of Cloud (AWS,Azure,etc).
• Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer.
• Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed.
• Ability to use leading edge tools such as Linux, SQL, Python, Spark,Hadoopand Java.
• Exposure to ETL/ELT projects, data warehouse design, analytics pipelines, capstone data engineering
• Willingness to travel up to 100%, based on project requirements.

Preferred technical and professional experience

• Preferred Bachelor\u2019s degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Engineering).
• Preferred Skills/Tech: SQL, Python,dbt, Snowflake, BigQuery, Airflow, data modeling, CI/CD basics.
• General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of generative models.

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IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Date posted

13-Aug-2026

Job ID

129118

City / Township / Village

Austin

State / Province

Texas

Country

United States

Work arrangement

Onsite

Area of work

Data & Analytics

Employment type

Regular

Contract type

Regular

Projected Minimum Salary per year

71,200.00

Projected Maximum Salary per year

106,800.00

Position type

Entry Level

Up to 100% or 5 days a week (home on weekends - based on project requirements)

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?