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SeniorFull-timePythonJavaPostgreSQLMySQLMachine LearningData Science
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a hands-on expert to provide technical leadership in addressing BizTechβs diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams.
Key Responsibilities
- βLead the design, implementation, and testing of data systems, from architecture to production.
- βBuild batch and real-time data systems that support business needs and critical products.
- βEnsure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.
- βDesign and optimize data models to efficiently meet business and product requirements.
- βCollaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.
- βMaintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.
- βContribute to long-term data strategies and influence data engineering practices across the organization.
- βMentor and guide team members, fostering best practices for data quality and governance.
- βAdvance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.
Requirements
- β9+ years of relevant experience with a Bachelor's/Masterβs degree in CS/EE (or 6+ years with a PhD).
- βExtensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
- βProficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
- βProven track record of designing and optimizing batch and real-time data pipelines.
- βStrong collaboration skills with the ability to work with product managers, data scientists, and engineers.
- βAdvanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
- βExcellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
- βExpertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
- βExperience with integrating machine learning models into data systems (preferred).
- βStrong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
- βFlexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.
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