Data Engineer

Gravity IT Resources; Dallas (TX); Remote; USD 90,000 - 160,000; Full time

Job summary

Gravity IT Resources is seeking a Data Engineer to join a small, fast-moving data team in a remote role. You will blend technical data engineering with partnership responsibilities, collaborating with FP&A and corporate reporting to translate reporting needs into actionable data work.

You will become an expert in ATS data structures, map backend data to business meaning, and contribute across multiple functions in a small company environment.

Qualifications

• 5+ years of data engineering experience.
• Experience with SQL-based reporting.
• Experience with cloud data platforms (Snowflake/BigQuery/Redshift).
• Proven ability to partner with FP&A and corporate reporting teams.

Responsibilities

• Partner with FP&A and corporate reporting stakeholders to understand needs, including ATS reporting/data requests.
• Proactively anticipate stakeholder needs, ask clarifying questions, and confirm assumptions before building.
• Own work end-to-end: requirements gathering, story writing, ticket creation, prioritization, building, testing/QA, code reviews, and deployment.
• Become an expert in data structures behind the scenes, especially ATS exports and custom fields, to map backend data to business meaning.
• Contribute as a versatile team member, stepping into various roles to help move work forward.

Skills

Strong SQL

Data modeling

Stakeholder communication

Ownership and initiative

Cloud data platforms

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

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.

Job Title: Data Engineer

Location Requirements: Remote

Job Type: Direct Hire

Salary: $90,000-160,000

Role Overview:
You will join a small, fast-moving data team as a hybrid Data Engineer. Your role combines technical data engineering with partnership responsibilities, working closely with business stakeholders, especially in FP&A and corporate reporting. You will uncover reporting needs, translate them into clear requirements, and manage the data work from discovery to delivery. You will become an expert in data structures behind the scenes, particularly for ATS exports, and contribute across multiple functions in a small company environment.

Responsibilities:

• Partner with FP&A and corporate reporting stakeholders to understand needs, including ATS reporting/data requests.


• Proactively anticipate stakeholder needs, ask clarifying questions, and confirm assumptions before building.


• Own work end-to-end: requirements gathering, story writing, ticket creation, prioritization, building, testing/QA, code reviews, and deployment.


• Become an expert in data structures behind the scenes, especially regarding ATS exports and custom fields, to map backend data to business meaning.


• Contribute as a versatile team member, stepping into various roles to help move work forward.

Required Qualifications:

• Strong SQL skills and the ability to solve SQL problems live in an interview setting.


• Solid understanding of core data concepts and data modeling techniques.


• Demonstrated ownership and initiative; proactive rather than order-driven.


• Strong stakeholder communication skills, capable of guiding internal customers toward clear requirements.


• Experience with data platforms such as Snowflake or other cloud data platforms like Databricks, BigQuery, or Redshift.


• Prior experience in report building or as a technical product manager who transitioned into data engineering.


• 5+ years of data engineering experience, or multiple years of SQL-based reporting plus 2+ years in data engineering.