Full-Time
GCP Data Engineer
NucleusTeq
201-500 employees
AI-driven enterprise software and data modernization
No salary listed
Phoenix, AZ, USA
In Person
Bachelor's
 Data & Analytics (1) |
|---|
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- Five to seven years of experience, including at least six years working as a big data engineer.
- Experience with Google Cloud Platform, including Google Cloud Storage, Dataproc, BigQuery, and Composer/Airflow.
- Experience with PySpark, Apache Spark, Python, Scala, Hive, Pig, and MapReduce.
- Experience with data frames and processing large data volumes in BigQuery.
- Experience with SQL and large-scale data engineering and business intelligence delivery.
- Experience designing large-scale enterprise-level big data platforms.
- Experience analyzing large data sets.
- A degree in Computer Science, Applied Mathematics, Engineering, or another technology-related field, or equivalent work experience.
- Ability to articulate supported use cases and outcomes driven by prior work.
- Ability to demonstrate the required technical skills during the interview.
- Experience working on a mature, self-organized agile team.
- Design large-scale enterprise-level big data platforms.
- Perform data processing and analysis using large data sets.
- Deliver large-scale data engineering and business intelligence solutions.
- Experience with a NoSQL database such as Spanner DB or a graph database.
NucleusTeq provides AI-powered software services and products to large enterprises, helping Fortune 500 and 1000 companies modernize data, migrate to cloud, and automate business processes. Its offerings include Generative AI, machine learning, data modernization, cloud computing, and enterprise automation, anchored by NuoData, an AI-driven platform for end-to-end data modernization, governance, and analytics that aims to reduce data integration costs. The company differentiates itself through partnerships with AWS, Google Cloud, Microsoft Azure, and Snowflake, and by drawing on leadership with deep digital-transformation experience, plus eight delivery centers and three innovation labs. Its goal is to enable large enterprises to upgrade legacy systems, optimize data ecosystems, and accelerate digital transformation using AI-driven solutions.
Company Size
201-500
Company Stage
N/A
Total Funding
N/A
Headquarters
Phoenix, Arizona
Founded
2018
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Simplify's Take
What believers are saying
- NucleusTeq posted new June 2026 industry content across utilities, biopharma, and AI governance.
- The NuoData platform promises 6-10x faster transformations and 50%+ cost savings.
- Partnerbase tracks an Infosys channel partnership first observed March 26, 2026.
What critics are saying
- NucleusTeq raised no institutional funding; growth depends on services cashflow.
- Glassdoor compensation ratings fell 23% over twelve months, signaling retention pressure.
- AWS, Databricks, Infosys, and Snowflake partners commoditize NucleusTeq’s consulting margins by 2027.
What makes NucleusTeq unique
- NuoData sells on AWS Marketplace, updated May 24, 2026, with contract pricing.
- NucleusTeq showed Booth 135 at Databricks Data+AI Summit 2026.
- Its Phoenix, Indore, Richmond, London footprint supports 30-plus global enterprise clients.
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Benefits
Remote Work Options
Hybrid Work Options
Flexible Work Hours
Wellness Program
Mental Health Support
Conference Attendance Budget
Professional Development Budget
Stock Options
Company Equity
401(k) Retirement Plan
401(k) Company Match
Health Insurance
Dental Insurance
Vision Insurance
Paid Vacation
Paid Holidays
Sabbatical Leave
Parental Leave
Family Planning Benefits
Fertility Treatment Support
Adoption Assistance
Childcare Support
Elder Care Support
Gym Membership
Phone/Internet Stipend
Home Office Stipend
Professional Certification Support
Tuition Reimbursement
Meal Benefits
Legal Services
Employee Discounts
Company Social Events