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About worksphere
worksphere is a forward‑thinking technology partner that empowers businesses to transform data into actionable insights. With a focus on cloud‑native architecture, machine learning, and real‑time analytics, we help our clients stay ahead in a rapidly evolving digital landscape. Our culture is built on collaboration, continuous learning, and a passion for solving complex problems with elegant, scalable solutions. As a remote‑first organization, we give our teams the flexibility to work from anywhere while fostering a strong sense of community through virtual meet‑ups, hackathons, and open‑source contributions.
Why worksphere?
- Impactful Work: Build and maintain data pipelines that power decision‑making for Fortune 500 clients.
- Career Growth: Structured mentorship, access to industry conferences, and a clear path from engineer to technical lead.
- Innovation Hub: Work with cutting‑edge technologies such as Hadoop, Spark, Flink, Kafka, and cloud services (GCP, AWS, Azure).
- Inclusive Culture: Diversity, equity, and inclusion are core values. We celebrate different perspectives and encourage every voice to be heard.
- Competitive Compensation: $28 per hour, with performance bonuses and equity options for senior roles.
- Remote Flexibility: Work from any location with a reliable internet connection. We provide a stipend for home‑office setup and reimbursed tech equipment.
Job Overview
worksphere is seeking a highly motivated Senior Big Data Engineer to join our remote analytics team. In this role, you will design, develop, and maintain large‑scale data processing systems that support real‑time analytics, machine learning pipelines, and reporting dashboards. You will collaborate with data scientists, product managers, and other engineers to translate business requirements into robust, scalable solutions.
Key Responsibilities
- Architect and implement end‑to‑end data pipelines using Hadoop, Spark, Flink, and Kafka to ingest, transform, and store terabytes of data daily.
- Write clean, well‑documented, and testable code in Java, Scala, or Python.
- Design and maintain data models, schema evolution strategies, and metadata catalogs.
- Lead code reviews, enforce coding standards, and mentor junior engineers.
- Collaborate with data scientists to deploy machine learning models into production pipelines.
- Implement monitoring, alerting, and performance tuning for data workloads.
- Participate in capacity planning, cost optimization, and disaster recovery strategies for cloud‑based data platforms.
- Contribute to open‑source projects and internal tooling to improve developer productivity.
- Work closely with product owners to translate business goals into technical specifications.
- Stay current with emerging data technologies and evaluate their applicability to worksphere’s architecture.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of professional experience in big data engineering or data platform development.
- Proficiency in at least one of the following languages: Java, Scala, or Python.
- Hands‑on experience with Hadoop ecosystem components (HDFS, YARN, Hive, HBase) and Spark or Flink for batch and streaming workloads.
- Strong SQL skills and experience with Hive or Spark SQL.
- Solid understanding of data modeling, ETL best practices, and data governance.
- Experience with cloud data services (GCP BigQuery, AWS Redshift, Azure Synapse) is highly desirable.
- Familiarity with CI/CD pipelines, Git, and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and the ability to troubleshoot complex data issues.
- Strong communication skills and a collaborative mindset.
Preferred Qualifications
- Experience with real‑time streaming platforms such as Kafka, Pulsar, or Kinesis.
- Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Background in machine learning model deployment (MLflow, TensorFlow Serving, PyTorch Serve).
- Experience with data lakehouse architectures (Delta Lake, Iceberg).
- Certifications in cloud platforms (GCP, AWS, Azure).
- Previous leadership experience or a proven track record of mentoring junior engineers.
Skills & Competencies
- Technical Leadership – Ability to guide teams, set technical direction, and make architecture decisions.
- Analytical Thinking – Strong data‑driven mindset to solve complex problems.
- Agile Methodology – Comfortable working in Scrum or Kanban environments.
- Communication – Clear articulation of technical concepts to non‑technical stakeholders.
- Continuous Learning – Passion for staying up‑to‑date with industry trends and emerging technologies.
- Collaboration – Works effectively across cross‑functional teams.
Career Growth & Learning Opportunities
At worksphere, we believe in investing in our people. You will have access to:
- Monthly tech talks and internal hackathons.
- Annual conference sponsorships (AWS re:Invent, GCP Next, Spark Summit).
- Mentorship programs pairing you with senior architects.
- Learning stipend for courses, certifications, and books.
- Clear promotion path from Senior Engineer to Principal Engineer or Engineering Manager.
Work Environment & Culture
worksphere’s remote culture is built on trust, autonomy, and accountability. We provide:
- Flexible working hours to accommodate different time zones.
- Regular virtual coffee breaks and team‑building activities.
- Inclusive policies that celebrate diversity and support work‑life balance.
- A transparent decision‑making process where every team member can contribute ideas.
Compensation & Benefits
Base Pay: $28 per hour (equivalent to $58,240 annually for a 40‑hour work week).
Benefits: Health, dental, and vision insurance (remote coverage options), 401(k) with company match, paid time off, and flexible sick leave.
Perks: Home‑office stipend, tech equipment allowance, wellness reimbursements, and a generous equity program for senior roles.
How to Apply
Ready to take the next step in your career? Submit your résumé and a brief cover letter outlining why you’re excited about building data solutions at worksphere. We’ll review your application promptly and schedule a conversation to discuss how your experience aligns with our mission.
Join worksphere – Where Data Meets Innovation
worksphere is more than a company; it’s a community of thinkers, builders, and innovators who are reshaping the future of data analytics. If you thrive in a fast‑paced, collaborative environment and want to make a tangible impact on real‑world problems, we want to hear from you. Apply today and help us turn data into insight, insight into action, and action into success.
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