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Data Visualization Tools Engineer Jobs

3 jobs found

Today

Data Analytics Engineer

University of Texas at Austin Austin, TX

Austin, TX

Today

$80k+/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

The Data Analytics Engineer at The University of Texas at Austin designs, builds, and maintains integrated data solutions that support decision-making across academic, research, and administrative areas. The role works with both local datasets and central campus information through the UT Data Hub framework.

Key Responsibilities

Develop, code, validate, and implement relational databases and integrated data structures that enable analytics.
Partner with functional stakeholders to gather business requirements and develop or refine business logic.
Coordinate with technical teams to locate, clean, and orchestrate source data.
Write code to translate and transform business logic into a scalable database environment supporting descriptive, predictive, and prescriptive analytics.
Support production of consumable outputs such as reports, dashboards, and other tools for university use.
Design database structures that align with meaningful data visualizations and interactive tools.
Apply data engineering and analytics best practices, including robust validation, testing and deployment procedures, data mining algorithms, version control, code integration, documentation, and automation and streamlining of data pipelines.
Use creativity and flexibility to address new institutional data challenges.
Assist with special projects and ad hoc data requests as needed.
Work independently and with cross-functional teams to deliver data products that meet university needs.
Participate in the full data project lifecycle, from conception and requirements gathering through design, documentation, development and testing, and deployment.
Communicate with partners and stakeholders to manage requests, expectations, and deliverables.
Provide project status, progress updates, risk reporting, and issue communication to support completion.
Build an in-depth understanding of university data processes and technologies.
Handle confidential information with tact and discretion.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.
Strong SQL expertise for querying large databases, manipulating and validating data, implementing business logic, and analyzing data.
Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.
Proven ability to synthesize complex or ambiguous information from multiple sources using varied tools and techniques to produce consumable insights.
Ability to communicate effectively and collaborate with a wide range of stakeholders in a higher-education or enterprise setting.
Proven prioritization and organizational skills, including the ability to handle multiple projects simultaneously.
Strong written and verbal communication skills, critical thinking, creative problem-solving, and attention to detail.
Demonstrated professionalism.
Relevant education and experience may be substituted as appropriate.

Technologies

SQL
PostgreSQL
Power BI
Tableau
UT Data Hub

Preferred Qualifications

Experience working in a higher education or research environment.
Familiarity with institutional data domains such as student, enrollment, research, finance, or HR.
Experience working with cloud data platforms or analytics services and PostgreSQL environments.
Experience supporting business intelligence or analytics tools including Power BI and Tableau.
Knowledge of data governance, stewardship, and compliance in higher education.
Experience collaborating across decentralized organizations.
Familiarity with UT Austin’s administrative computing environment.
Experience with metadata management software.

Compensation and Location

Salary: USD 80,000 per year (plus adjustments based on qualifications).
Location: Austin, TX 78701 (hybrid).

Working Conditions

May work under standard office conditions.
Repetitive use of computer equipment.
Hybrid/flex work options available.

Required Application Materials

Resume/CV
3 work references with contact information (at least one reference must be from a supervisor)
Letter of interest

Additional Employment Information

This position is not eligible for employer-sponsored work authorization. Applicants must be authorized to work in the United States for any employer now and in the future without sponsorship.
Regular staff employed in their current position for the last six continuous months may be eligible for openings recruited through University-Wide or Open Recruiting, including promotional and lateral transfer opportunities.
Promotion/transfer eligible staff may apply for positions without supervisor approval.
Retirement plan eligibility: Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background checks: A criminal history background check will be required for finalist(s).
Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If identified as a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting.
The Clery Act requires notification of the availability of the Annual Security and Fire Safety report to prospective employees.

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Today

Principal Analytics Engineer

adMarketplace New York, NY

New York, NY

Today

$220k - $260k/yr Full time Analytics Analytics Engineer Artificial Intelligence

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Job Description

This founding Principal Analytics Engineer position at adMarketplace focuses on building the analytics data foundation for a marketplace environment. The role will establish canonical measurement, deliver product analytics datasets, and scale self-service analytics with automation and reproducible workflows.

Responsibilities

Build the Analytics Data Layer: Create analytics-ready datasets and reusable models for key marketplace concepts. Transform raw data into tested, production-quality analytical entities in partnership with Data Engineering.
Establish Trusted Metrics: Define and encode canonical metrics in collaboration with Product, Finance, Measurement, and other business teams. Maintain consistent metric definitions, documentation, and governance.
Enable Product Analytics: Develop datasets for funnels, cohorts, product adoption, marketplace diagnostics, experimentation, and causal analysis. Support teams in understanding what changed, where it changed, and why.
Scale Self-Service Analytics: Build curated datasets and semantic layers for BI tools including Sigma and Tableau. Evaluate data app solutions such as R Shiny, Streamlit, and ChatGPT Sites to expand automated analytics capabilities.
Own automation and reproducibility efforts: Automate recurring workflows and apply AI to data discovery, SQL generation, and documentation where useful.

Requirements

Exceptional SQL and dimensional/data modeling skills.
Experience building production analytical datasets across database systems such as Databricks, Snowflake, AWS, or equivalent modern data platforms.
Experience working with BI and self-service analytics tools including Sigma and Tableau, as well as data app solutions such as R Shiny, Streamlit, and ChatGPT Sites.
Strong views on analytics engineering working models, with a focus on durable measurement, immediacy, reproducibility, and using the right tools for the task, including dashboards, data apps, or reusable Python notebooks.
Ability to translate ambiguous business questions into durable analytical data models.
Ability to write narratives that explain both solution architecture and the insights those systems uncover.

Preferred (Nice to Have)

Experience with advertising technology, marketplaces, search, recommendation systems, or high-volume event data.
Experience supporting experimentation platforms or product analytics.
Experience building and deploying data apps using R Shiny, Streamlit, or ChatGPT Sites.

Technologies

SQL, Databricks, Snowflake, AWS
Sigma, Tableau
R Shiny, Streamlit, ChatGPT Sites
Python

Location and Compensation

Location: New York, NY (onsite)

Salary: USD 220,000 - 260,000 per year

Benefits

Comprehensive healthcare and wellness programs
Paid time off
Commuter benefits
401k matching
Summer Fridays
Catered lunches
Fully stocked kitchen
ZogSports teams
Happy hours and corporate retreats to encourage work-life balance
Robust continuing education program
Management training
Regular company-wide lunch and learns
Well-defined career paths

Additional Information

Named as one of the best places to work in New York City by Built In and Crain’s.
adMarketplace is currently experiencing triple digit growth.
No third party recruiters: unsolicited agency resumes are not accepted, and there is no responsibility for fees related to unsolicited resumes.

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Today

Lead Software Engineer - Tech 360

M&T Bank Buffalo, NY

Buffalo, NY

Today

$116k - $194k/yr Full time Backend Developer Manager Analytics

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Job Description

Lead the build of the Tech 360 Platform at M&T Bank in Buffalo, NY (onsite). This role combines technical leadership with hands-on development to deliver enterprise-grade reporting capabilities that help CIOs and technology leaders gain a single, trusted view of performance, risk, cost, delivery, talent, and business value across the organization.

The Tech 360 Platform is designed to improve transparency and strategic execution by consolidating fragmented reporting into a unified, data-driven experience. You will guide the design, development, and delivery of scalable solutions that support technology reporting and executive decision making.

What you’ll do

Design, develop, and support enterprise-grade applications using one or more programming languages.
Build and maintain REST APIs, responsive web applications, ETL solutions, and scalable database systems aligned to business and technology objectives.
Write organized, clean, efficient, secure, and maintainable source code at an advanced level, applying appropriate data structures and algorithms to solve business problems.
Lead implementation of cloud-native solutions using Kubernetes, containers, and microservices architecture.
Develop and maintain CI/CD pipelines supporting automated testing and deployment.
Define and implement API and integration strategies across enterprise platforms.
Partner with architects and security teams to implement authorization and policy-driven access controls.
Mentor engineers and promote engineering excellence, resiliency, and operational best practices.
Contribute to Agile and/or SAFe delivery teams, including planning, estimation, execution, and continuous improvement activities.
Follow company risk and regulatory standards, identify risk-related issues requiring escalation, and maintain M&T internal control standards, including timely implementation of audit points and regulator-raised issues as applicable.
Support a culture of belonging consistent with the M&T Bank brand.
Complete other related duties as assigned.

Requirements

Associate’s degree and minimum 7 years systems analysis and/or application development work experience, or Bachelor’s degree and minimum 5 years systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 years education and/or relevant work experience including a minimum of 5 years systems analysis and/or application development work experience.
Experience developing RESTful APIs and microservices.
Angular and/or modern front-end development experience.
Kubernetes, Docker, and cloud-native development experience.
Experience implementing CI/CD pipelines.
Expert proficiency in at least 1 relevant programming language and professional proficiency in at least 1 additional relevant programming language.
Strong understanding of software development best practices, application architecture, and SDLC methodologies.

Technologies you may work with

REST APIs, ETL, Kubernetes, containers, microservices architecture, CI/CD pipelines, Angular, Docker
Power BI, Tableau, Chart.js, D3.js, SQL, dimensional models, KPIs, metrics
SAFe, Agile

Location and compensation

Buffalo, New York, United States of America (onsite). Salary range: USD 116,400 - 194,000 per year.

Preferred experience

Ability to build executive-facing reporting, analytics, or dashboard solutions that turn complex data into actionable insights.
Experience integrating data from multiple sources, including APIs, databases, data warehouses, and cloud platforms.
Expertise in data visualization and reporting technologies such as Power BI, Tableau, Chart.js, D3.js, or equivalent tools.
Experience designing scalable application architectures focused on performance, security, maintainability, and reliability.
Proficiency with SQL and data modeling concepts including dimensional models, KPIs, metrics, and reporting frameworks.
Ability to collaborate with executives, product owners, business stakeholders, and data teams to translate objectives into technical solutions.
Experience building centralized reporting platforms, operational intelligence systems, or executive decision-support applications is highly preferred.
Demonstrated leadership mentoring engineers, driving technical strategy, and establishing engineering standards for large-scale initiatives.

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Data Visualization Tools Engineer Jobs

Data Analytics Engineer

Principal Analytics Engineer

Lead Software Engineer - Tech 360

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