Data Engineer II

Russell Tobin; Mountain View (CA); Remote; USD 83,000 - 90,000; Full time

Job summary

Russell Tobin in Mountain View, CA is seeking a Data Engineer II for a 6-month contract (extendable). The role is 100% remote (PST hours) with a W2 DOE rate of $60-$65/hour.

You will work hands-on with Databricks and advanced SQL to profile tables, validate grain/join, and contribute to data foundations. Responsibilities include partnering with data science stakeholders, translating requirements into a backlog, designing schemas and data models, building proofs of concept, and advancing data

Qualifications

• 4-8 years in analytics engineering, data engineering, or an adjacent data role.
• Ability to turn an under-specified request into a clear, buildable requirement.
• Experience designing data models and schemas for analytical use.
• Hands-on Databricks and advanced SQL; Git and Python a plus.
• Fluency using AI tools for research and cross-team partnerships.

Responsibilities

• Partner with data science stakeholders to understand the business problem and data needed.
• Translate requirements into a backlog and maintain clear specifications for data engineering.
• Design schemas, tables, and data solutions meeting trust and documentation standards.
• Build proofs of concept from design documents to notebooks validated against real data.
• Collaborate with source data owners and data engineering through build and UAT.
• Advance data foundations: observability, schema monitoring, quality rules, data contracts; support AI workflows.

Skills

Databricks

Advanced SQL

Python

Git

AI tools

Tools

Databricks

Git

Job description

Job Title: Data Engineer II

Location: Mountain View, CA - 100% Remote (PST hours)

Contract: 6 Months, extendable

Rate Range: $60 - $65/hr on W2 DOE

Hands-on Databricks and advanced SQL, able to profile unfamiliar tables and validate grain and joins independently; Git and Python a plus

Responsibilities

• Partner with data science stakeholders to understand the business problem behind a key result, and determine the data needed to answer it


• Translate that into clear requirements and specifications data engineering can build from, and maintain a well-specified backlog


• Design schemas, tables, and data solutions that meet our standards for trusted, well-documented data


• Build proofs of concept, from design documents through to notebooks validated against real data, judging how much prototyping each decision warrants


• Partner with source data owners, and with data engineering through build and UAT


• Advance trusted data foundations — observability, schema monitoring, quality rules, data contracts — and build AI skills and agents that accelerate the team

What you'll bring

• 4-8 years in analytics engineering, data engineering, or an adjacent data role


• Demonstrated ability to turn an under-specified request into a clear, buildable requirement


• Experience designing data models and schemas for analytical use


• Hands-on Databricks and advanced SQL, able to profile unfamiliar tables and validate grain and joins independently; Git and Python a plus


• Fluency using AI tools for research and building, and strong cross-team partnerships

Preferred qualifications

• Experience establishing data quality, observability, or data contract practices


• Experience building AI skills, agents, or workflow automation


• Python proficiency

For workers in the United States, PrideGlobal and it's affiliates offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity

PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations: Only applicable for San Francisco Candidates

Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.