Sr Data Engineer Remote Job at VERSANT Media:
Full-Time Entertainment Tech Career Opportunity in the USA
The global demand for experienced data engineers continues to rise as media,
entertainment, and streaming companies increasingly depend on data-driven
systems to power customer experiences, recommendations, analytics, advertising,
and digital platforms.
For professionals looking to work remotely while contributing to
internationally recognized entertainment brands, the newly announced Sr
Data Engineer opportunity at VERSANT
Media stands out as one of the most attractive senior-level tech
openings currently available.
This role is connected to the company’s highly recognized entertainment
ecosystem, including platforms such as Fandango, Rotten Tomatoes, GolfNow,
GolfPass, and SportsEngine. The position offers a chance to work on large-scale
cloud data systems that support millions of users worldwide.
Unlike many traditional office-based tech jobs, this role has been
officially designated as fully remote, allowing qualified
professionals to contribute from their residence while collaborating with high-performing
engineering teams across the United States.
For international readers, remote tech professionals, data engineers, and
experienced analytics specialists, this opportunity reflects a growing global
trend where advanced technical expertise matters more than physical office
presence.
Overview of the Sr Data Engineer Opportunity
|
Category |
Details |
|
Position |
Sr Data Engineer |
|
Company |
VERSANT Media |
|
Business Segment |
Digital Platforms & Ventures |
|
Work Type |
Full-Time |
|
Work Arrangement |
Fully Remote |
|
Primary Location |
Orlando, Florida, USA |
|
Department |
Fandango Group |
|
Industry |
Media, Entertainment, Streaming & Digital Platforms |
|
Experience Required |
7+ Years |
|
Core Skills |
SQL, Python, AWS, Airflow, Redshift, ETL/ELT |
|
Application Mode |
Online |
The opportunity is part of the company’s Fandango division, which supports
millions of movie and TV users through ticketing systems, reviews, streaming
services, and entertainment discovery platforms.
The selected candidate will play a major role in designing and maintaining
advanced data systems, pipelines, warehouses, and analytical environments that
help power digital entertainment experiences globally.
This is not an entry-level role. It is designed for experienced
professionals capable of leading technical projects, mentoring engineers, and
managing enterprise-scale data architecture.
About VERSANT
Media
VERSANT
Media is positioned as a modern media and entertainment company
bringing together some of the most recognized television and digital brands in
the industry.
Its portfolio includes:
· USA
Network
· CNBC
· Oxygen
· E!
· SYFY
· Golf
Channel
· Fandango
· Rotten
Tomatoes
· GolfNow
· SportsEngine
The organization combines entertainment content, digital technology,
streaming services, and analytics to create experiences for audiences across
multiple platforms.
For data professionals, this creates an exciting environment because
engineers work with large-scale consumer data, streaming behavior, engagement
analytics, and cloud infrastructure systems.
Why This Remote Data Engineering Job Matters in 2026
The global remote technology workforce has expanded significantly over the
last few years. Companies increasingly seek professionals with advanced cloud
engineering and analytics expertise rather than limiting hiring to one
geographic region.
Several factors make this opportunity especially attractive:
1. Fully Remote Flexibility
The role allows professionals to contribute remotely instead of relocating
to the United States.
2. Enterprise-Level Technology Stack
Candidates gain exposure to:
· AWS
· Azure
· GCP
· Airflow
· AWS
Glue
· Python
· Golang
· Redshift
· ETL/ELT
frameworks
· Cloud
warehousing systems
These technologies are among the most in-demand skills in the global data
engineering market.
3. Entertainment Industry Exposure
Working within entertainment and streaming technology provides valuable
experience handling large-scale user behavior analytics and real-time digital
systems.
4. Senior-Level Career Growth
The position includes mentoring responsibilities and enterprise system
ownership, making it valuable for professionals aiming for leadership growth.
Eligibility Criteria
To qualify for the Sr Data Engineer role, applicants must meet several
technical and professional requirements.
Minimum Qualifications
Applicants should possess:
· At
least 7 years of data warehousing or OLAP experience
· 7+
years of multidimensional database architecture experience
· 5+
years of SQL experience
· 3+
years of Python development experience
· 2+
years of Amazon Redshift experience
· 2+
years of NoSQL database experience
· Experience
managing vendor or team partnerships
· Strong
understanding of web development principles
· Experience
with AWS Glue and Airflow
· API
integration experience
· Dimensional
database architecture expertise
· Systems
development lifecycle experience
Desired Qualifications
Preferred additional qualifications include:
· Cloud
data warehouse operations experience
· Tableau
knowledge
· SSRS
experience
· Big
data analytics experience
· Real-time
BI systems exposure
· Data
streaming expertise
Core Responsibilities of the Sr Data Engineer
The selected candidate will handle multiple high-level technical
responsibilities.
Data Pipeline Development
The engineer will design and maintain scalable pipelines that support
analytics and reporting systems.
Data Warehouse Architecture
Responsibilities include:
· Designing
schemas
· Creating
data marts
· Supporting
OLAP environments
· Optimizing
performance systems
Cloud Engineering
The role involves cloud platform support across:
· AWS
· Azure
· Google
Cloud Platform
ETL/ELT Management
Candidates will build and maintain ETL/ELT systems for enterprise analytics
workflows.
Performance Optimization
The engineer must improve workload performance using:
· Query
tuning
· Index
creation
· Database
optimization strategies
Mentorship
Senior engineers are expected to guide junior team members and contribute to
technical decision-making.
Benefits & Financial Value
Although the exact salary range was not publicly disclosed in the listing,
senior-level remote data engineering positions in the United States often offer
highly competitive compensation packages.
Potential benefits may include:
|
Benefit Type |
Expected Value |
|
Competitive Salary |
Senior-level tech compensation |
|
Remote Work |
Flexible work environment |
|
Health Insurance |
Medical and wellness coverage |
|
Retirement Plans |
Long-term financial planning |
|
Paid Time Off |
Vacation and leave benefits |
|
Career Development |
Exposure to enterprise systems |
|
Global Experience |
Work with recognized entertainment brands |
For experienced international professionals, exposure to enterprise-grade
cloud systems can significantly strengthen long-term career opportunities.
Technical Skills That Can Strengthen Your Application
Applicants with the following additional capabilities may stand out:
Advanced SQL Optimization
Strong query tuning experience is valuable for handling large-scale datasets.
Python Automation
Experience building automation tools and data workflows in Python can
improve competitiveness.
Cloud Certifications
Certifications in:
· AWS
· Azure
· Google
Cloud
can strengthen credibility.
Big Data Experience
Knowledge of distributed systems and streaming analytics can be beneficial.
Data Governance
Experience with data security, governance, and compliance frameworks may
help during interviews.
Step-by-Step Application Process
Applying strategically can significantly improve your chances of receiving
interview invitations.
Step 1: Prepare a Professional Resume
Your r
esume should highlight:
· Data
engineering achievements
· Cloud
experience
· SQL
optimization projects
· Pipeline
development work
· Business
impact metrics
Step 2: Tailor Your Resume to the Job Description
Align your skills with keywords from the role:
· AWS
Glue
· Airflow
· Redshift
· ETL
· Python
· Data
warehouse architecture
Step 3: Write a Strong Technical Cover Letter
Focus on:
· Enterprise
analytics experience
· Remote
collaboration skills
· Cloud
engineering accomplishments
· Leadership
experience
Step 4: Submit the Online Application
Applications must be submitted through the company’s official careers
platform.
Step 5: Prepare for Technical Interviews
Candidates may face:
· SQL
assessments
· Cloud
architecture discussions
· Data
pipeline scenarios
· Behavioral
interviews
Required Documents
Applicants should prepare the following documents before applying:
|
Document |
Purpose |
|
Updated Resume |
Professional experience overview |
|
Cover Letter |
Personalized application |
|
Certifications |
Technical validation |
|
Portfolio or GitHub |
Technical project showcase |
|
LinkedIn Profile |
Professional networking credibility |
Important Tips for a Successful Application
Customize Every Application
Avoid sending generic resumes.
Quantify Achievements
Use measurable outcomes such as:
· Reduced
query runtime by 40%
· Improved
pipeline reliability
· Automated
reporting systems
Highlight Remote Collaboration
Remote communication and productivity are important for distributed teams.
Demonstrate Business Understanding
Modern data engineers are expected to understand business impact, not just
technical execution.
Prepare Cloud-Focused Examples
Expect technical discussions around:
· AWS
infrastructure
· Data
warehousing
· Workflow
orchestration
· Scaling
systems
Remote Work Expectations
Although this is a remote role, candidates should expect:
· Virtual
collaboration
· Scheduled
team meetings
· Cross-functional
communication
· Production
support responsibilities
· On-call
support rotation
Professionals who thrive in self-managed environments often perform well in
fully remote enterprise roles.
Deadline & Application Timeline
At the time of publication, no official closing deadline was publicly
listed.
Because senior technical opportunities often receive large numbers of
applications, early submission is strongly recommended.
Suggested Timeline
|
Stage |
Recommended
Timing |
|
Resume Preparation |
Immediately |
|
Application Submission |
As early as possible |
|
Interview Preparation |
Within 1 week of applying |
|
Follow-Up |
1–2 weeks after application |
Official Verification & Source Links
Applicants should always verify job details through official company
channels before submitting personal information.
Official Sources
· VERSANT
Media Official Website
· VERSANT
Careers Page
· Fandango Official
Website
· Rotten
Tomatoes Official Website
Related Opportunities
Readers interested in this opportunity may also explore:
· Shopify E-commerce Operations Manager (Remote 2026)
· Junior Visual Designer Job in New York 2026 ($70K–$100K)
· AI Engineer Intern at Juniper Square (2026)
· Remote Graphic Designer Job 2026
· Economics Editor, CNBC at VERSANT High-Paying
Frequently Asked Questions (FAQs)
Is the Sr Data Engineer role fully remote?
Yes. The position is officially designated as fully remote by the company.
Can international applicants apply?
The listing does not explicitly restrict international applicants, but
candidates should verify work authorization and hiring eligibility requirements
through official channels.
What programming languages are required?
The role specifically mentions Python, SQL, and Golang exposure.
Is cloud experience mandatory?
Yes. Experience with AWS, Azure, or GCP environments is strongly emphasized.
What level of experience is required?
The company requires extensive senior-level experience, including 7+ years
in data warehousing and OLAP systems.
Does the role involve leadership responsibilities?
Yes. Mentoring other data engineers is part of the responsibilities.
Is entertainment industry experience required?
No. However, experience handling large-scale digital platforms and analytics
environments can be beneficial.
Conclusion
The Sr Data Engineer opportunity at VERSANT
Media represents a strong career move for experienced professionals
seeking remote enterprise-level work within the entertainment and digital
technology sector.
With exposure to advanced cloud systems, large-scale analytics
infrastructure, and globally recognized entertainment platforms, this role
offers valuable long-term career development for senior engineers.
Candidates with strong SQL, Python, ETL/ELT, and cloud engineering expertise
should consider preparing their applications early and tailoring their resumes
carefully to match the company’s technical expectations.
As always, applicants should verify every requirement, timeline, and
employment condition directly through official company channels before
proceeding with the application process.
Don’t Miss Your Shot!
Stay updated with the latest jobs, scholarships, internships, and global opportunities.
📩 Need Help With Your Application?
🔥 Join Our Verified Updates
📬 Stay Ahead
💡 Career Lift Global Tip: Whether or not you are accepted, keep applying. Scholarships, jobs, and fellowships are stepping stones to a brighter future. Stay motivated and consistent!
0 Comments