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About workpinnacle
workpinnacle is a global leader in entertainment‑driven technology, delivering immersive digital experiences to millions of users worldwide. Our mission is to blend creativity with cutting‑edge data science, enabling partners to make smarter decisions, personalize content, and unlock new revenue streams. As part of the workpinnacle Innovation Hub, the Information and Investigation group powers web‑based features that shape the future of interactive media, advertising, and e‑commerce.
Why This Role Matters
Data is the lifeblood of every modern digital experience. At workpinnacle, we rely on robust data pipelines, sophisticated analytics, and real‑time insights to keep our platforms fast, reliable, and engaging. As a Lead Data Engineer, you will be at the forefront of building the next generation of data products that empower our customers, advertisers, and content partners to thrive in a rapidly evolving market.
Key Responsibilities
- Design, develop, and maintain scalable data products and data warehouses that support the Commitment and Maintenance Investigation and Data Science initiatives.
- Architect end‑to‑end ETL pipelines in large‑scale data environments (cloud, on‑premise, hybrid) using industry‑leading technologies.
- Collaborate with Data Product Owners, Data Modelers, and Data Architects to translate business requirements into high‑performance data solutions.
- Implement and optimize data models for the core data lake and data marts, ensuring data integrity, consistency, and accessibility.
- Maintain meticulous documentation of data flows, schema changes, and pipeline configurations to support data governance and quality standards.
- Monitor system performance, troubleshoot bottlenecks, and guarantee that service level agreements (SLAs) are consistently met.
- Participate actively in Agile/Scrum ceremonies, contributing to sprint planning, retrospectives, and continuous improvement initiatives.
- Mentor junior engineers, share best practices, and foster a culture of technical excellence within the data engineering team.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
- Strong command of SQL with the ability to craft complex queries and generate performant data sets.
- Hands‑on experience with big‑data frameworks such as Hadoop (HDFS, Hive, Impala, PySpark) and streaming platforms like Apache Flink.
- Proficiency in programming languages including Python and Java/Scala for data pipeline development.
- Experience working with at least one major MPP or cloud data‑warehouse technology (e.g., Snowflake, Amazon Redshift, Google BigQuery).
- Familiarity with data orchestration tools (e.g., Apache Airflow, AWS Step Functions) and data quality frameworks.
- Understanding of data modeling principles, data warehousing best practices, and dimensional modeling.
- Exposure to Agile methodologies and Scrum ceremonies.
Preferred Qualifications & Nice‑to‑Have Skills
- Hands‑on experience with AWS services such as S3, EMR, EC2, and Lambda.
- Knowledge of containerization technologies (Docker, Kubernetes) for deploying scalable data services.
- Experience with real‑time data streaming solutions (Kafka, Kinesis) and event‑driven architectures.
- Background in advertising technology, media analytics, or e‑commerce data ecosystems.
- Certifications related to cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer).
- Demonstrated ability to solve ambiguous problems with a blend of analytical rigor and creative thinking.
Core Competencies & Personal Attributes
- Analytical Mindset: Ability to dissect complex data problems and translate them into actionable engineering solutions.
- Collaboration: Strong interpersonal skills to work cross‑functionally with product, analytics, and engineering teams.
- Ownership: Proactive attitude toward taking responsibility for end‑to‑end delivery of data products.
- Communication: Clear and concise written and verbal communication, especially when documenting technical designs.
- Adaptability: Comfort operating in a fast‑paced, ever‑changing environment with shifting priorities.
- Continuous Learning: Passion for staying current with emerging data technologies and industry trends.
Career Growth & Learning Opportunities
workpinnacle invests heavily in the professional development of its people. As a Lead Data Engineer, you will have access to:
- Mentorship from senior architects and data science leaders.
- Sponsored certifications and training programs on cloud platforms, big‑data tools, and advanced analytics.
- Opportunities to lead high‑visibility projects that directly impact product strategy and revenue.
- Rotational programs that expose you to adjacent domains such as machine learning, product analytics, and user experience research.
- Regular internal tech talks, hackathons, and knowledge‑sharing sessions.
Work Environment & Culture at workpinnacle
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: Diverse perspectives are celebrated, and every voice is heard.
- Work‑Life Balance: Flexible hours, remote‑work options, and generous paid time off support personal well‑being.
- Community Impact: workpinnacle partners with nonprofit organizations, offering employees volunteer opportunities and matching donations.
- Health & Wellness: Comprehensive medical, dental, and vision plans, plus on‑site fitness facilities and wellness programs.
Compensation, Perks & Benefits
We offer a competitive hourly rate of $24 per hour, reflecting the value we place on talent and expertise. In addition to base compensation, you will receive:
- Performance‑based bonuses tied to project milestones and business outcomes.
- Retirement savings plan with company matching contributions.
- Stock‑option grants that align your success with workpinnacle’s growth.
- Generous parental leave, adoption assistance, and family‑friendly policies.
- Professional development budget for conferences, courses, and certifications.
- Free meals, snacks, and beverages throughout the workday.
- Transportation subsidies and secure bike storage for eco‑friendly commuting.
How to Apply
If you are excited about shaping the future of data‑driven entertainment and possess the technical foundation to lead complex data initiatives, we want to hear from you. Click the link below to submit your application and join the workpinnacle team of innovators.
Apply Now – Become a Lead Data Engineer at workpinnacle!
Closing Statement
workpinnacle is more than a workplace; it’s a launchpad for visionary technologists who thrive on challenge, collaboration, and continuous growth. By joining us, you’ll help power the data engines that drive unforgettable digital experiences for audiences around the globe. Take the next step in your career—apply today and start building the future of data at workpinnacle.
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