About talentnexus
talentnexus is a global leader in entertainment‑focused digital experiences, delivering immersive web‑based features that delight millions of users every day. With a heritage of innovation and a forward‑thinking mindset, talentnexus continuously invests in cutting‑edge technology to keep its platforms fast, reliable, and scalable. Our Information and Investigation group, part of the talentnexus Web‑Based Features division, powers everything from content recommendation engines to real‑time analytics dashboards. As we expand our data‑driven capabilities, we are looking for a passionate Lead Data Engineer to join our dynamic team in San Francisco, USA.
Why This Role Is Unique
Unlike traditional data‑engineer positions that require years of experience, talentnexus believes in unlocking talent early. This role offers a competitive hourly rate of $24 per hour and provides a clear pathway to senior technical leadership. You will work side‑by‑side with seasoned data architects, product managers, and analytics scientists, gaining hands‑on experience with industry‑leading big‑data technologies while contributing to high‑impact projects that shape the future of digital entertainment.
Key Responsibilities
As the Lead Data Engineer, you will be at the heart of our data platform strategy. Your day‑to‑day activities will include:
- Design and implement robust data products and data warehouses that support the Commitment and Maintenance Investigation and Data Science teams.
- Build, maintain, and optimize ETL pipelines in large‑scale data environments, spanning cloud, on‑premises, and hybrid architectures.
- Collaborate with Data Product Owners, Data Modelers, and Data Architects to translate business requirements into scalable data solutions.
- Develop and document data models, schemas, and metadata for core data warehouses and data marts.
- Ensure data quality, lineage, and governance by maintaining meticulous documentation and adhering to best practices.
- Monitor performance metrics, troubleshoot bottlenecks, and guarantee that solutions meet Service Level Agreements (SLAs) for reliability and latency.
- Participate actively in Agile/Scrum ceremonies, contributing to sprint planning, retrospectives, and continuous improvement initiatives.
- Stay current with emerging big‑data technologies and propose innovative enhancements to our data platform.
Essential Qualifications
We are looking for candidates who meet the following baseline criteria:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Strong proficiency in SQL with the ability to write complex queries and optimize performance.
- Hands‑on experience with at least one major MPP or cloud data‑warehouse technology (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with big‑data frameworks such as Hadoop (HDFS, Hive, Impala) and streaming platforms like Kafka or Windstream.
- Programming skills in Python and either Java or Scala.
- Understanding of data‑pipeline orchestration tools and the ability to maintain data pipelines in production.
- Exposure to Agile and Scrum methodologies, with a collaborative mindset.
Preferred Qualifications & Additional Skills
While not mandatory, the following experiences will set you apart:
- Practical knowledge of cloud platforms, especially AWS services such as S3, EMR, EC2, and Glue.
- Experience with data‑visualization tools and data‑modeling standards.
- Background in building real‑time analytics solutions using streaming technologies.
- Certifications related to big data, cloud architecture, or data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).
- Demonstrated problem‑solving abilities, strong analytical thinking, and excellent communication skills.
Core Competencies & Skills
Success in this role hinges on a blend of technical expertise and soft skills:
- Technical Acumen: Deep understanding of data warehousing concepts, ETL design patterns, and distributed computing.
- Programming Fluency: Ability to write clean, maintainable code in Python and Java/Scala.
- Analytical Mindset: Strong logical reasoning and the capacity to translate complex business problems into data solutions.
- Collaboration: Comfortable working in cross‑functional teams, sharing knowledge, and mentoring junior engineers.
- Adaptability: Willingness to learn new technologies quickly and adapt to evolving project requirements.
- Documentation Discipline: Commitment to thorough documentation for data lineage, quality, and governance.
Career Growth & Learning Opportunities
talentnexus invests heavily in the professional development of its employees. As a Lead Data Engineer, you will have access to:
- Mentorship from senior data architects and industry veterans.
- Sponsored certifications and training programs in cloud, big data, and data science.
- Opportunities to lead high‑visibility projects that directly impact product strategy.
- A clear promotion pathway toward Senior Data Engineer, Data Platform Manager, and eventually Director of Data Engineering.
- Participation in internal hackathons, tech talks, and knowledge‑sharing sessions.
Work Environment & Culture at talentnexus
Our San Francisco office blends a vibrant, collaborative atmosphere with the flexibility of modern work arrangements. Key cultural pillars include:
- Innovation First: We encourage experimentation and reward creative problem solving.
- Inclusivity: A diverse workforce where every voice is heard and respected.
- Work‑Life Balance: Flexible hours, remote‑work options, and generous paid time off.
- Community Impact: Opportunities to contribute to charitable initiatives and sustainability programs.
- Health & Wellness: On‑site fitness facilities, wellness programs, and mental‑health resources.
Compensation, Perks, & Benefits
talentnexus offers a competitive compensation package that reflects both market standards and the value you bring to the team:
- Hourly rate of $24 per hour, with eligibility for performance‑based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings plan with company matching contributions.
- Generous paid parental leave and family‑friendly policies.
- Professional development stipend for courses, conferences, and certifications.
- Employee assistance programs, commuter benefits, and free meals/snacks.
How to Apply
If you are excited about shaping the future of data‑driven entertainment and thrive in a fast‑paced, innovative environment, we want to hear from you. Click the link below to submit your application, and be prepared to showcase your passion for data engineering, problem‑solving, and continuous learning.
Apply Now – Join talentnexus Today!
Closing Statement
talentnexus is committed to building a diverse and talented workforce. We encourage candidates of all backgrounds to apply. Your unique perspective could be the catalyst for the next breakthrough in our data platform. Take the next step in your career—apply today and become a pivotal part of talentnexus’s data revolution.
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