About hirevault
hirevault is a world‑renowned leader in entertainment, media, and immersive experiences, delivering unforgettable moments to millions of guests every day. With a legacy of innovation that spans theme parks, streaming platforms, and cutting‑edge content studios, hirevault continuously pushes the boundaries of storytelling and technology. Our Data Science & Innovation (DSI) division fuels this transformation by turning raw information into strategic insights that shape the future of entertainment. As part of our commitment to a flexible, inclusive, and forward‑thinking workplace, we offer fully remote opportunities that empower talent to thrive from any location.
Role Overview
We are seeking a meticulous Remote Data Entry Engineer to join the Data Engineering (DE) team within hirevault’s DSI organization. In this role, you will be the backbone of our data pipelines, ensuring that data is captured, validated, and delivered with the highest quality standards. You will collaborate with data scientists, product managers, and software engineers to build robust ETL/ELT processes that power analytics, machine‑learning models, and business intelligence across the company.
Key Responsibilities
- Gather and translate business requirements into detailed data specifications.
- Design, develop, and maintain end‑to‑end ETL/ELT pipelines using SQL (Snowflake, PostgreSQL) and Python.
- Implement data validation, profiling, and quality‑control frameworks to guarantee accuracy and completeness.
- Build and manage data models, schema designs, and table structures that support analytical workloads.
- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
- Collaborate with cross‑functional teams to integrate data sources, resolve data‑related issues, and support ad‑hoc reporting needs.
- Maintain version‑controlled code repositories using GitLab/GitHub and follow CI/CD best practices.
- Automate workflow scheduling with tools such as Airflow, Prefect, or similar orchestration platforms.
- Document data lineage, pipeline architecture, and operational procedures for knowledge sharing.
- Stay current with emerging data technologies, cloud platforms, and industry best practices to continuously improve our data ecosystem.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
- Minimum of 2 years of hands‑on experience designing, building, and supporting ELT/ETL pipelines in a production environment.
- Proven expertise in SQL, with a strong preference for Snowflake and PostgreSQL implementations.
- Solid programming skills in Python, including experience with data‑processing libraries such as pandas, SQLAlchemy, or dbt.
- Demonstrated ability to work in multi‑environment setups (Development, QA, Production) and apply DevOps practices for code deployment.
- Experience creating and maintaining automated job schedulers (e.g., Airflow, Prefect, Luigi).
- Strong understanding of relational database design, data modeling, and data warehousing concepts.
Preferred Qualifications
- Hands‑on experience with cloud‑based data platforms such as Snowflake, Databricks, or Google BigQuery.
- Knowledge of cloud infrastructure services, particularly AWS (S3, Redshift, Lambda, Glue).
- Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.
- Experience managing source‑code repositories and pull‑request workflows in GitLab or GitHub.
- Exposure to big‑data processing frameworks (Spark, Flink) and streaming solutions.
- Prior involvement in data‑driven product development within media, entertainment, or related industries.
Core Skills & Competencies
- Analytical mindset: Ability to dissect complex data problems and propose elegant, scalable solutions.
- Attention to detail: Commitment to delivering clean, accurate data that stakeholders can trust.
- Collaboration: Strong communication skills to work effectively with cross‑functional teams across time zones.
- Problem‑solving: Proactive approach to identifying bottlenecks and implementing performance improvements.
- Adaptability: Comfort with rapidly changing priorities in a fast‑paced, innovative environment.
- Continuous learning: Enthusiasm for staying up‑to‑date with the latest data engineering tools and methodologies.
Career Development & Learning Opportunities
At hirevault, your growth is a priority. As a Remote Data Entry Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and industry experts.
- Annual learning stipends for certifications, conferences, or online courses (e.g., SnowPro, AWS Certified Data Analytics).
- Internal hackathons and innovation challenges that encourage creative problem‑solving.
- Clear career pathways toward senior data engineer, data architect, or analytics lead roles.
- Opportunities to rotate across different business units—such as theme‑park operations, streaming services, and studio production—to broaden your domain expertise.
Work Environment & Culture at hirevault
Our remote workforce enjoys a culture built on trust, flexibility, and inclusion. Key aspects include:
- Flexible scheduling: While the role is full‑time (8 hours per day), you can structure your day to align with personal productivity peaks.
- Collaborative virtual spaces: Regular video stand‑ups, virtual coffee chats, and team‑wide town halls keep everyone connected.
- Diversity & inclusion: hirevault is committed to fostering a workplace where every voice is heard and valued.
- Well‑being focus: Access to mental‑health resources, wellness stipends, and ergonomic home‑office allowances.
- Innovation‑first mindset: Employees are encouraged to experiment, share ideas, and contribute to the company’s strategic direction.
Compensation, Benefits & Perks
We offer a competitive hourly rate of $27 per hour, reflective of your expertise and the critical nature of the role. In addition to base compensation, hirevault provides:
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Generous paid time off, including holidays, vacation, and sick days.
- Professional development budget and tuition reimbursement.
- Technology stipend for home‑office equipment, high‑speed internet, and software licenses.
- Employee assistance programs, wellness challenges, and virtual fitness classes.
- Recognition programs that celebrate milestones, innovation, and teamwork.
How to Apply
If you are passionate about turning raw data into actionable insights and thrive in a remote, collaborative environment, we want to hear from you. Please submit your resume, a brief cover letter highlighting relevant experience, and any portfolio or GitHub links that showcase your data engineering work.
Apply for this job