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Data Engineer Associate
Data Engineer AssociateTRS • Austin, Texas, USA
Data Engineer Associate

Data Engineer Associate

TRS • Austin, Texas, USA
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  • [job_card.full_time]
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Data Engineer Associate

Requisition ID : req1342

Employment Type : Unclassified Regular Full-Time (URF)

Division : Enterprise Data & Analytics

Compensation : 73790.00 - 92237.00 Annual Salary

Job Closing : 2 / 7 / 2026

Location : TRS Headquarters Building 2

1900 Aldrich Street

Austin Texas 78723

United States

WHO WE ARE :

The Information Technology (IT) Division lays the foundation for TRS to deliver excellent service experiences across the organization and with our members. We serve with purpose through mentorship and collaboration across a broad variety of teams unified by innovation to create technology and information solutions that have a positive impact on our members lives.

We invite you to join one of Austins Top Workplaces. TRS offers a best-in-class combination of technology and continuous learning opportunities to equip you to solve problems expand your knowledge and create impact for 1 in 20 Texans.

The Data Engineer Associate is responsible for assisting with data integration data analysis and reporting work. The incumbent will partner with internal and external teams to understand interpret and analyze business operations to develop and implement solutions that support the Agency. This position will proactively work with the line of business development teams IT staff and agency employees.

WHAT WILL YOU DO :

Data Integration and Data Analysis

Assists with defining developing and implementing automation of data integration processes and interfaces.

Assists in identifying data gaps errors anomalies inconsistenciesand redundancies by analyzing the content structure and relationships within data.

Assists with interpreting data requests or business needs and translating into written requirements.

May assist in developing and implementing databases data collection systems data analytics and other strategies that optimize statistical efficiency and quality.

Compiles accurate data to present reports and assesses data quality.

Assists in preparing data to support desired metrics monitoring and reports.

Interprets results to identify significant differences in data.

Assists in troubleshooting and resolving problems related to systems and applications.

Reporting

Provides thorough visible rigorous and transparent data reports and analysis.

Assists with tracking trends and making recommendations for solutions based on findings.

Assists in interpreting and communicating analytical insights to audiences with various analytical backgrounds using different but suitable communication methods for different audiences.

Assists in developing visually appealing and intuitive dashboards that provide visibility into key performance risk and control indicators across agency divisions and departments.

Delivers quality results and presentations under short timelines.

Performs related work as assigned.

WHAT WILL YOU BRING

Required Education

Bachelors degree from an accredited college or university in Information Technology Data Analytics Business Intelligence or a closely related field.

High school diploma or equivalent and additional full-time experience in data analytics SQL SSIS business intelligence visualization tools MS Office Suite or related experience may be substituted on an equivalent year-for-year basis.

Required Experience

One (1) year of full-time experience in data analytics utilizing tools such as SQL SSIS or business intelligence and visualization tools or MS Office Suite to troubleshoot or recommend business solutions or related experience.

Experience may be concurrent.

A masters degree or doctoral degree in a closely related field may be substituted on an equivalent year-for-year basis.

Required Registration Certification or Licensure

None.

Preferred Qualifications

Experience with MS Power BI or MS Visual Studio.

Experience working with a star-schema data warehouse or other data analytic data structures.

Experience with integrations leveraging ETL tools.

Experience with data migration and / or reconciliation.

Experience with technical process writing in an application development environment.

Experience with troubleshooting or development of complex Spreadsheets utilizing formulas to create data analytics.

Knowledge Skills and Abilities

Knowledge of :

Knowledge of one or more of the following : business intelligence tools databases SQL or various job associated programming languages to support data analysis and predictive analytics.

Database modeling and data warehousing principles.

Project management and system development life cycle concepts.

Data manipulation methods that transform dates and accounting concepts that allow for business decision making and analytics

Skills in :

Experience using technical and statistical analysis skills to deliver clear concise and visually appealing management metrics and reports to inform decision making and actions.

Writing report queries including an understanding of relational data or set based datasets.

Using a computer in a Windows environment with Microsoft Office word processing spreadsheet and other business software.

Effective written and verbal communication skills.

Working in a team environment.

Ability to :

Operate effectively in a fast-paced environment with competing and shifting priorities.

Continually learn new concepts and tools to support job needs and strive for ongoing professional development.

Establish and maintain harmonious working relationships with co-workers agency staff and external contacts.

Work effectively in a professional team environment.

Understand the concepts of the pension industry and how data works to support the core line of business.

Military Occupational Specialty (MOS) Codes :

Veterans Reservists or Guardsmen with experience in the Military Occupational Specialty ( ) along with the minimum qualifications listed above may meet the minimum requirements and are highly encouraged to apply. Please contact Talent Acquisition at with questions or for additional information.

To view all job vacancies visit or more information visit .

Required Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Experience : years

Vacancy : 1

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