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Lead Data Engineer
2 months ago
Arcesium seeks an exceptional technology leader to join our Data Platform team. The ideal candidate will help architect and implement the next generation of our data platform, leveraging expertise in distributed systems, modern data lake technology, and infrastructure.
Key Responsibilities
- Design and develop cutting-edge technology used by leading financial institutions
- Drive solutions around data modeling, data pipelining & orchestration, data transport, and access control
- Propose and review solution design across engineering teams as they onboard onto the data platform
- Lead high-visibility engineering efforts on core data-intensive components
- Take a hands-on technical leadership role in guiding a team of engineers to deliver high-quality solutions under tight deadlines
Requirements
- Strong academic background in computer science and 5+ years of experience as a software engineer at a top startup or technology firm
- Expertise in at least one of the following: Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology; Spark, Flink, Beam, or equivalent streaming data processing frameworks; Iceberg, delta lake, or other data lake table formats and supporting tooling
- Hands-on experience in building near real-time data ETL, ELT, and normalization
- Fluency with Java, Kotlin, Scala, or any other JVM language
- Familiarity with relational databases like Postgres, MSSQL, or Sqlite
- Track record and appetite for building and launching new data products from scratch
- Experience guiding and mentoring highly skilled engineers and driving large-scale engineering projects
Compensation and Benefits
- Expected annual base salary: $200,000-$250,000
- Variable compensation in the form of a year-end bonus, guaranteed in the first year of hire
- Benefits including medical and prescription drug coverage, and 401k contribution matching
Eligible States
- NY, NJ, MA, MN, IL, FL, TX, OH
Arcesium's Commitment to Diversity and Inclusion
- Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law