About talentedge
talentedge is a global leader in digital entertainment, media streaming, and immersive experiences. With a portfolio that spans interactive web platforms, cutting‑edge sports analytics, and next‑generation content delivery, talentedge empowers millions of users worldwide to discover, engage, and enjoy premium entertainment anytime, anywhere. Our mission is to turn data into insight, insight into action, and action into unforgettable experiences for our audiences, partners, and advertisers.
Joining talentedge means becoming part of a forward‑thinking organization that values curiosity, collaboration, and continuous innovation. Whether you are just starting your career or looking to deepen your expertise, talentedge offers a dynamic, remote‑first environment where every voice matters and every contribution drives real‑world impact.
Why This Role Matters
As a Lead Data Engineer within our Information & Investigation group, you will be at the heart of talentedge’s data‑driven strategy. Your work will enable product teams, marketing analysts, and business partners to make smarter decisions, improve user experiences, and unlock new revenue streams. This is a rare opportunity to grow from an entry‑level position into a senior technical role while working on high‑visibility projects that shape the future of digital entertainment.
Key Responsibilities
- Collaborate with product owners, data modelers, and data architects to design and implement scalable data products that support talentedge’s commitment and maintenance analytics initiatives.
- Build, maintain, and optimize end‑to‑end ETL pipelines in large‑scale data environments (cloud, on‑premise, hybrid) using industry‑standard tools.
- Develop and manage data warehouses and data lakes, ensuring high performance, reliability, and security.
- Write clean, efficient code in Python, Scala, and Java to transform raw data into curated datasets ready for analysis.
- Leverage Hadoop ecosystem components (HDFS, Hive, Spark, PySpark) and modern cloud platforms such as AWS (S3, EMR, EC2) and Snowflake to process petabytes of data.
- Document data lineage, schema definitions, and pipeline configurations to support data quality, governance, and auditability.
- Monitor system health, troubleshoot performance bottlenecks, and proactively resolve incidents to meet stringent SLAs.
- Participate actively in Agile/Scrum ceremonies, contributing to sprint planning, retrospectives, and continuous improvement initiatives.
- Mentor junior team members and share best practices around data modeling, pipeline design, and cloud cost optimization.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Technical Foundations: Strong SQL proficiency with the ability to write complex queries and optimize performance.
- Programming Skills: Hands‑on experience with Python and either Java or Scala; a willingness to learn additional languages as needed.
- Data Platform Exposure: Familiarity with at least one major MPP or cloud data warehouse technology (e.g., Snowflake, Redshift, BigQuery).
- Big Data Tools: Basic knowledge of Hadoop ecosystem components such as Hive, Spark, and PySpark.
- Analytical Mindset: Ability to translate business requirements into technical specifications and data models.
- Agile Experience: Understanding of Scrum or other Agile methodologies and the ability to work in fast‑paced, collaborative teams.
Preferred Qualifications (Nice to Have)
- Hands‑on experience with data streaming technologies such as Apache Kafka or Flink.
- Exposure to cloud services beyond AWS, including Azure Data Factory or Google Cloud Platform.
- Familiarity with data governance frameworks, data catalog tools, and metadata management.
- Previous involvement in building data products for advertising, subscription, or content recommendation systems.
- Certifications in cloud platforms (AWS Certified Solutions Architect, Google Professional Data Engineer, etc.).
Core Skills & Competencies
- Problem Solving: Demonstrated ability to diagnose complex data issues, propose solutions, and implement fixes with minimal supervision.
- Communication: Clear, concise, and effective communication with technical and non‑technical stakeholders.
- Collaboration: Team‑oriented mindset, eager to share knowledge and support peers in a remote environment.
- Attention to Detail: Meticulous documentation and adherence to data quality standards.
- Adaptability: Comfort with rapidly evolving technologies and the ability to pivot priorities as business needs change.
Career Growth & Learning Opportunities
talentedge invests heavily in the professional development of its employees. In this role, you will have access to:
- Mentorship from senior data architects and industry veterans.
- Sponsored certifications and training programs covering cloud platforms, big‑data technologies, and data engineering best practices.
- Opportunities to lead cross‑functional projects, gradually expanding your scope from data pipelines to full data product ownership.
- Rotational programs that expose you to other domains such as machine learning, product analytics, and digital advertising.
- A clear career ladder from entry‑level data engineer to senior architect, principal engineer, or data‑product leader.
Work Environment & Culture at talentedge
Our remote‑first policy means you can work from anywhere in the United States while staying connected through state‑of‑the‑art collaboration tools. talentedge fosters an inclusive culture where diversity of thought is celebrated, and every employee is encouraged to bring their authentic self to work. Highlights include:
- Weekly virtual “coffee chats” and team‑building activities to strengthen bonds across time zones.
- Open‑door leadership: executives regularly host AMA (Ask Me Anything) sessions.
- Employee resource groups focused on technology, wellness, and community outreach.
- Flexible working hours that respect work‑life balance and personal productivity rhythms.
- Recognition programs that celebrate innovative ideas, technical excellence, and collaborative spirit.
Compensation, Benefits & Perks
talentedge offers a competitive hourly rate of $24 per hour, reflecting the value we place on emerging talent. In addition to base pay, you will receive:
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement savings with company match.
- Generous paid time off, including holidays, sick days, and mental‑health days.
- Professional development stipend for courses, conferences, and certifications.
- Home‑office allowance to equip your workspace with ergonomic furniture and technology.
- Access to a global library of learning resources, webinars, and internal knowledge bases.
- Employee assistance program (EAP) for counseling, financial advice, and wellness support.
How to Apply
If you are excited about turning raw data into strategic insight, thrive in a collaborative remote setting, and are ready to launch a rewarding data engineering career with talentedge, we want to hear from you! Submit your resume and a brief cover letter highlighting your passion for data and any relevant projects or coursework.
Take the next step toward a future where your technical expertise fuels the entertainment experiences of tomorrow. Join talentedge today and become a catalyst for data‑driven innovation!
Apply for this job