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GCP Data Engineer

NucleusTeq nucleusteq.com Open · verified Oct 24, 2026
Phoenix Contract Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at NucleusTeq. Phoenix · contract.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationPhoenix
EmploymentContract
PostedAug 7, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Process large volumes of data with BigQuery and build data solutions using GCP services
  • Design enterprise-scale big data platforms and deliver data engineering and business intelligence work
  • Analyze large datasets and explain the use cases your work supports and its outcomes
  • Apply Spark and PySpark techniques, including working with data frames

What you bring

  • At least six years working as a big data engineer
  • Hands-on experience with GCP, SQL, Python, Spark and PySpark
  • Ability to demonstrate Scala, Hive, Pig and MapReduce skills during an interview
  • A degree in a technology-related field, or equivalent work experience

Who this fits

This contract role suits a mid-level data engineer with substantial big data experience and experience delivering work on a mature, self-organized agile team. The role is based in Phoenix, Arizona, and the stated duration is at least twelve months.

From the employer

  • GCP Data Engineer

Role – GCP Data Engineer

Location – Phoenix, AZ

Duration: 12+ Months

Skills:

  • Years of experience : 5-7 years
  • GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow
  • Big Data: PySpark
  • Spark, Python, GCP is must have
  • Strong experience with Spark , Data Frames
  • Big Query background with data processing for large volumes
  • Another NO Sql DB is big plus - Spanner DB & Graph DB

Qualifications:

  • Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience)
  • 6+ years of experience working as a big data engineer (Required) must be able to articulate use cases supported and outcomes driven.
  • knowledge of the following (expectation is to demonstrate these skills live during the interview): PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce.
  • Experience in GCP.
  • Experience in SQL.
  • Large scale data engineering and business intelligence delivery experience
  • Design of large-scale enterprise level big data platforms
  • Experience working with and performing analysis using large data sets
  • Proven and Demonstrated experience working with or on a mature, self-organized agile team

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.