Senior Data Engineer – ETL/ELT Pipeline Specialist (Remote, $30/Hour) – Join brighthush

About brighthush

brighthush is a forward‑thinking technology partner that empowers creative studios, media houses, and entertainment innovators to unlock the full potential of their data. With a culture rooted in curiosity, collaboration, and continuous learning, we help our clients transform raw information into actionable insights that drive storytelling, audience engagement, and business growth. Whether you’re working on the next blockbuster animation, a cutting‑edge streaming platform, or a data‑driven marketing campaign, you’ll find a vibrant community of engineers, designers, and analysts who thrive on solving complex problems with elegant, scalable solutions.

As a remote‑first organization, brighthush offers the flexibility to work from anywhere while staying connected to a global network of talent. Our remote teams enjoy the same benefits, resources, and career‑development opportunities as our on‑site colleagues, ensuring that every team member can contribute at their best, no matter where they are.

Position Overview

We are seeking a highly motivated Senior Data Engineer to join our Data Design & Integration (DDSI) group. In this role, you will design, build, and maintain robust ETL/ELT pipelines that power data lakes, data warehouses, and analytics platforms for brighthush’s creative partners. You will collaborate closely with studio teams, product managers, and data scientists to translate business requirements into scalable, high‑performance data solutions.

Key highlights:

• Full‑time, remote position with a competitive hourly rate of $30.
• Direct impact on the data infrastructure that supports millions of viewers and creators worldwide.
• Opportunity to work with industry‑leading technologies such as Snowflake, Databricks, Apache Wind, and Looker.
• Clear career path from Senior Engineer to Lead Data Architect or Data Engineering Manager.

Key Responsibilities

• Design & Build ETL/ELT Pipelines: Architect end‑to‑end data workflows that ingest, transform, and load data from a variety of sources into Snowflake, Databricks, and other cloud data platforms.
• Data Modeling & Schema Design: Create logical and physical data models that support analytics, reporting, and machine‑learning initiatives. Ensure data quality, consistency, and performance across all environments.
• Collaboration with Stakeholders: Partner with studio and product teams to gather requirements, validate data sets, and deliver actionable insights. Translate business needs into technical specifications.
• Automation & Orchestration: Use tools such as Apache Airflow, GitLab CI/CD, and Docker to automate pipeline deployment, testing, and monitoring.
• Performance Tuning & Optimization: Continuously monitor pipeline performance, identify bottlenecks, and implement optimizations to reduce latency and cost.
• Documentation & Knowledge Sharing: Maintain comprehensive documentation of data pipelines, schemas, and best practices. Mentor junior engineers and contribute to internal knowledge bases.
• Governance & Security: Implement data governance policies, access controls, and encryption standards to protect sensitive information.
• Innovation & Tool Evaluation: Stay abreast of emerging data technologies and evaluate their applicability to brighthush’s data ecosystem.

Essential Qualifications

• Minimum 2 years of professional experience in data engineering, with a focus on ETL/ELT pipeline development.
• Proficiency in Python (including libraries such as Pandas, PySpark, and SQLAlchemy) and SQL (T-SQL, Snowflake SQL, PostgreSQL).
• Hands‑on experience building and maintaining pipelines on cloud platforms, preferably AWS (S3, Redshift, Glue) and Snowflake.
• Strong background in Apache Wind (or similar streaming frameworks) and Databricks for batch and real‑time data processing.
• Experience with version control (GitLab, GitHub) and CI/CD pipelines for data workflows.
• Demonstrated ability to work with large, complex data sets and optimize queries for performance and cost.
• Excellent problem‑solving skills, with a track record of delivering high‑quality, production‑ready solutions on schedule.
• Strong communication skills, capable of translating technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Computer Science, Data Engineering, Statistics, or a related field.
• Experience in the media, streaming, or entertainment industry, understanding the unique data challenges of content distribution and audience analytics.
• Knowledge of Looker or other BI tools for data visualization and reporting.
• Familiarity with containerization (Docker, Kubernetes) and cloud orchestration services.
• Experience with data governance frameworks (e.g., Collibra, Alation) and data cataloging.
• Certifications such as AWS Certified Data Analytics – Specialty or SnowPro Core.

Skills & Competencies

• Technical Proficiency: Python, SQL, Snowflake, Databricks, Apache Wind, Docker, GitLab CI/CD, AWS services.
• Analytical Thinking: Ability to dissect complex data problems and devise elegant, scalable solutions.
• Project Management: Experience managing multiple concurrent data projects, prioritizing tasks, and meeting deadlines.
• Collaboration: Comfortable working cross‑functionally with product, design, and analytics teams.
• Continuous Learning: Passion for staying current with emerging data technologies and industry trends.
• Adaptability: Thrives in a fast‑paced, evolving environment where priorities can shift quickly.

Career Growth & Learning Opportunities

At brighthush, we believe that professional growth is a shared responsibility. As a Senior Data Engineer, you will:

• Lead the design of high‑impact data solutions that shape the future of media analytics.
• Mentor junior engineers and contribute to a culture of knowledge sharing.
• Participate in internal hackathons, tech talks, and cross‑team workshops to broaden your skill set.
• Progress to leadership roles such as Lead Data Architect, Data Engineering Manager, or Director of Data Engineering.
• Access to a curated learning budget for courses, conferences, and certifications.

Work Environment & Culture

brighthush fosters a collaborative, inclusive, and innovative environment. Our remote teams enjoy:

• Flexible work hours that respect personal and family commitments.
• Regular virtual coffee chats and team‑building activities.
• Transparent communication channels, from daily stand‑ups to quarterly town halls.
• A culture that celebrates experimentation, learning from failure, and celebrating successes.
• Access to cutting‑edge tools and a generous budget for hardware, software, and wellness resources.

Compensation, Perks & Benefits

• Competitive hourly rate of $30, with potential for performance‑based bonuses.
• Health, dental, and vision insurance (for eligible employees and their families).
• 401(k) plan with company match.
• Unlimited paid time off and flexible sick leave.
• Annual stipend for home office setup and high‑speed internet.
• Wellness programs, including virtual fitness classes and mental health resources.
• Generous parental leave policy and support for new parents.

How to Apply

If you’re ready to build data pipelines that power the next generation of entertainment experiences, we’d love to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you’re excited about this role.

Apply to this job

Join brighthush and help shape the future of data‑driven storytelling

At brighthush, your work will directly influence how audiences discover, enjoy, and engage with content worldwide. If you’re passionate about data, eager to tackle complex challenges, and ready to grow in a dynamic, creative environment, we encourage you to apply today. Together, we’ll turn data into stories that resonate across the globe.