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1mo ago

Associate Data and Analytics Engineer

Virginia Tech Blacksburg, VA

Blacksburg, VA

1mo ago Closed

$63k - $77k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 14, 2026).

Job Description

Virginia Tech is hiring an Associate Data and Analytics Engineer to help power enterprise data, analytics, and reporting solutions in a hybrid work setting from Blacksburg, VA. In this role, you will support day-to-day platform operations and assist in building data pipelines and cloud-based analytics capabilities, working under guidance from senior professionals.

Role focus

Support enterprise data and analytics platforms by monitoring scheduled jobs, data pipelines, reports, dashboards, and related platform services.
Assist with troubleshooting data quality, integration, performance, and platform issues, escalating more complex items as needed.
Participate in incident response and operational activities, including monitoring, alerting, issue resolution, service restoration, and operational automation.
Contribute to the development, maintenance, testing, and monitoring of data pipelines, integrations, and ETL/ELT workflows for Snowflake-based analytics.
Help create and maintain enterprise data assets, data models, and transformations used for institutional reporting and analytics.
Develop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.
Perform data validation, testing, reconciliation, and quality assurance to support accurate, complete, and reliable enterprise data.
Apply established standards for data governance, metadata, data quality, security, privacy, and access control.
Assist in building and maintaining dashboards, reports, visualizations, and self-service analytics using approved enterprise tools.
Collaborate with business and technical staff to understand reporting and analytics requirements, including report validation, user testing, and solution implementation.
Provide customer support and guidance for enterprise reporting and analytics services.
Support technical documentation, operational procedures, training materials, user adoption activities, knowledge sharing, and continuous improvement efforts.

Required qualifications

Bachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or related, or an equivalent combination of education, training, and experience.
Foundational knowledge of data management, reporting, analytics, or business intelligence concepts.
Experience writing scripts, using version control (GIT), and working with the software development life cycle.
Experience developing SQL queries and working with relational databases.
Experience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.
Ability to learn new technologies, business processes, and technical concepts.
Demonstrated ability to communicate technical information effectively to both technical and non-technical audiences.
Demonstrated analytical, troubleshooting, and problem-solving skills.
Demonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.

Technologies

Snowflake
AWS
SQL
Python
Power BI
GIT
ETL/ELT
Snowflake-based analytics
DevOps
Tableau
MicroStrategy

Preferred qualifications

Exposure to cloud data platforms such as Snowflake or comparable technologies.
Experience with a code release process (DevOps).
Experience developing reports, dashboards, or data visualizations.
Exposure to Python, automation, or data processing workflows.
Familiarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.
Experience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.
Experience gained through internships, assistantships, capstone projects, student employment, or professional work.
Familiarity with higher education data domains or enterprise administrative systems.
Demonstrated ability to collaborate effectively with cross-functional teams, stakeholders, and data stewards while completing assigned work with appropriate guidance.

Work arrangement, pay, and appointment details

Location: Blacksburg, VA (hybrid)
Salary: USD 62,665 - 76,590 per yearly (salary information: $62,665 - $76,590)
Hours: 40 hours per week
Appointment type: Regular
Overtime status: Exempt: not eligible for overtime
Review date: 8/18/2026

Additional information

No visa sponsorship is available for this position.
The successful candidate will be required to have a criminal conviction check.

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3mo ago

Assoc Analytics Engineer

Government Employees Health Association, Inc. (G.E.H.A) St. Louis, MO 🇺🇸 Remote

St. Louis, MO

3mo ago Closed

$75k - $94k/yr Full time Analytics Associate Automation

This position is no longer accepting applications (closed Jun 22, 2026).

Job Description

G.E.H.A, a nonprofit member association, offers a remote opportunity in Missouri with a compensation range of USD 74,683 to 94,479 per year. This entry level role supports the design, development, and maintenance of data pipelines and analytics solutions, working alongside senior engineers to keep models, data sets, and pipelines reliable and accessible. The organization emphasizes data governance, privacy, and impact, backed by a comprehensive benefits package and a culture focused on learning and collaboration.

Responsibilities

Help design, build, and sustain data models, reporting dashboards, and data automation workflows that inform key business decisions.
Assist in staging data from multiple sources for integration into analytic models.
Monitor the performance of analytic solutions and escalate issues to senior engineers as needed.
Apply quality controls and adhere to department standards to meet quality, organizational, and regulatory requirements.
Create and maintain documentation for models, user guides, policies, and procedures; support training on newly developed models.
Adopt a data governance first mindset to ensure HIPAA and internal guidelines for privacy, applying masking and encryption techniques when necessary to protect PHI.

Requirements

Bachelor’s degree in computer science, statistics, or a related field, or an equivalent foreign degree; additional years of qualifying relevant experience may substitute for formal education.
PL300 certification or equivalent
2+ years in BI, data science, analytics, data, or an equivalent space
2+ years of experience with relational databases (SQL Server, DB2, Snowflake) and data processes
Proficiency in building tabular and multidimensional data models
2+ years using Power BI or equivalent tools (Tableau, Cognos, MicroStrategy)
Proficiency in SQL for querying databases
Understanding of scripting languages (Python, R, Java, PowerShell, etc.)
Strong analytical and problem-solving abilities
Knowledge of the Insurance or Healthcare industry or an equivalent background
Strong written and oral communication skills

Technologies

SQL
Python
R
Java
PowerShell
Power BI
Tableau
Cognos
MicroStrategy
SQL Server
DB2
Snowflake

Work-At-Home Requirements

Must have the ability to provide a non-cellular high speed internet service for a home office, such as fiber, DSL, or cable
Minimum recommended speed: 30 Mbps download x 5 Mbps upload
Latency (ping) under 80 ms
Hotspots, satellite, and wireless internet service are not allowed for this role
A dedicated, interruption-free workspace to protect member PHI / HIPAA information

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