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Job Title: Data Engineer
Job Type: Contract to Hire (6 months until conversion)
Location: Remote (2 days a month required on-site in NYC)
Pay: $50-$60/hr
Overview
We are seeking a Data Engineer to join a fast-paced, business-facing data team supporting a variety of commercial functions. This role is ideal for someone who enjoys working hands-on with data, building and optimizing SQL-based transformations, and partnering closely with stakeholders to deliver impactful insights.
You’ll work in a modern data stack environment and contribute to short-cycle, high-impact projects across areas such as marketing, revenue, loyalty, and HR.
Key Responsibilities
- Design, build, and optimize SQL-based data transformations to support analytics and reporting
- Develop and maintain data models to enable business intelligence and decision-making
- Build and support data ingestion and ELT pipelines from various source systems
- Analyze and debug existing queries and datasets to ensure data accuracy and performance
- Collaborate with business stakeholders to gather requirements and translate them into data solutions
- Create and maintain clear documentation for data processes, models, and pipelines
- Support ad hoc data requests and contribute to short-term, project-based initiatives
- Participate in code reviews, testing, and quality assurance to maintain data integrity
Required Qualifications
- 3+ years of experience in a Data Engineer or SQL-heavy Data Analyst role
- Strong proficiency in SQL (ability to write, read, and debug complex queries)
- Experience working with data warehouses and business intelligence environments
- Hands-on experience building or transforming datasets (not just querying existing tables)
- Familiarity with data transformation tools such as DBT or similar frameworks
- Basic experience with Python (e.g., Pandas for data manipulation)
- Experience with version control tools such as Git
Preferred Qualifications
- Experience with Snowflake or similar cloud data warehouses
- Familiarity with data orchestration tools such as Airflow or Azure Data Factory
- Understanding of data modeling best practices (e.g., dimensional modeling)
- Experience working in fast-paced, project-based environments
- Exposure to cloud data platform migrations or modern data stack implementations
What You’ll Bring
- Strong problem-solving skills and the ability to work independently with minimal oversight
- Comfort working on multiple projects simultaneously in a fast-paced environment
- Ability to communicate technical concepts to non-technical stakeholders
- A proactive mindset with a focus on data quality, documentation, and continuous improvement
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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.