Data Engineer II

Gravity IT Resources; Mountain View (CA); Hybrid; USD 96,000 - 165,000; Part time

Job summary

Gravity IT Resources is seeking a Data Engineer II on a contract basis in Mountain View, CA. You will join a data-focused team responsible for building trusted data foundations that support reporting, analytics, and business decision-making.

You will work across the full lifecycle of data initiatives, from understanding business questions to productionizing solutions, including redesigning data layers, improving data quality and governance, and enabling discovery practices.

Qualifications

• 4–8 years of experience in Data Engineering, Analytics Engineering, or a closely related data-focused role.
• Demonstrated experience taking ambiguous business or data requests and translating them into clear, buildable technical requirements.
• Strong experience designing data models, schemas, and tables for analytical use cases.
• Hands-on experience with Databricks.
• Advanced SQL skills, including the ability to investigate unfamiliar datasets, profile tables, validate grain, and evaluate joins.
• Experience working collaboratively across Data Science, Analytics, Engineering, and business teams.
• Ability to independently drive initiatives from initial requirements through design, validation, and engineering handoff.
• Experience using AI tools to support research, development, analysis, or technical workflows.
• Strong communication, documentation, and cross-functional collaboration skills.

Responsibilities

• Partner with Data Science, Analytics, Engineering, and business stakeholders to understand their data questions and determine the data needed.
• Translate ambiguous or under-specified requests into clear technical requirements, specifications, and actionable engineering tasks.
• Design schemas, tables, data models, and analytical data solutions that meet standards for trusted and well-documented data.
• Build proofs of concept, including technical design documentation and notebooks validated against real-world data.
• Use advanced SQL and Databricks to explore datasets, profile tables, validate data grain, evaluate joins, and assess solution feasibility.
• Collaborate with source data owners to understand upstream systems, dependencies, and data requirements.
• Work with Data Engineering throughout the development, testing, and user acceptance testing processes to ensure solutions meet requirements.
• Maintain a well-prioritized backlog of data requirements and initiatives.
• Help improve trusted data practices, including data quality, observability, schema monitoring, and data contracts.
• Leverage AI tools, agents, and workflow automation to boost team productivity and accelerate data work.
• Manage cross-functional conversations independently, clearly communicating progress, dependencies, decisions, and trade-offs.

Skills

Advanced SQL

Databricks

AI tools

Cross-functional collaboration

Strong communication

Job description

Job Title: Data Engineer II

Location Requirements: Hybrid

Job Type: Contract

Role Overview:
You will join a data-focused team responsible for building trusted, standardized data foundations that support reporting, analytics, and business decision-making. You will work across the full lifecycle of data initiatives — from understanding business questions and defining requirements to designing data models, developing proofs of concept, and partnering with engineering teams to productionize solutions. The team works on large-scale initiatives, including redesigning data layers, developing foundational data assets, improving data quality and observability, and shaping data governance and discovery practices.

Responsibilities:

• Partner with Data Science, Analytics, Engineering, and business stakeholders to understand their data questions and determine the data needed.
• Translate ambiguous or under-specified requests into clear technical requirements, specifications, and actionable engineering tasks.
• Design schemas, tables, data models, and analytical data solutions that meet standards for trusted and well-documented data.
• Build proofs of concept, including technical design documentation and notebooks validated against real-world data.
• Use advanced SQL and Databricks to explore datasets, profile tables, validate data grain, evaluate joins, and assess solution feasibility.
• Collaborate with source data owners to understand upstream systems, dependencies, and data requirements.
• Work with Data Engineering throughout the development, testing, and user acceptance testing processes to ensure solutions meet requirements.
• Maintain a well-prioritized backlog of data requirements and initiatives.
• Help improve trusted data practices, including data quality, observability, schema monitoring, and data contracts.
• Leverage AI tools, agents, and workflow automation to boost team productivity and accelerate data work.
• Manage cross-functional conversations independently, clearly communicating progress, dependencies, decisions, and trade-offs.

Required Qualifications:

• 4–8 years of experience in Data Engineering, Analytics Engineering, or a closely related data-focused role.
• Demonstrated experience taking ambiguous business or data requests and translating them into clear, buildable technical requirements.
• Strong experience designing data models, schemas, and tables for analytical use cases.
• Hands-on experience with Databricks.
• Advanced SQL skills, including the ability to investigate unfamiliar datasets, profile tables, validate grain, and evaluate joins.
• Experience working collaboratively across Data Science, Analytics, Engineering, and business teams.
• Ability to independently drive initiatives from initial requirements through design, validation, and engineering handoff.
• Experience using AI tools to support research, development, analysis, or technical workflows.
• Strong communication, documentation, and cross-functional collaboration skills.

Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.