Applicantz · 9 hours ago
Data Engineer
Applicantz is seeking a top-tier Data Engineer to design, own, and scale enterprise-grade data platforms. The role involves managing end-to-end data platforms and collaborating with product, ML, and analytics teams to ensure reliability and scalability of the systems.
Responsibilities
Own end-to-end data platforms (batch + streaming)
Build and operate high-throughput streaming systems (Kafka-first)
Design lakehouse architectures for analytics and ML workloads
Ensure platform reliability: SLAs, monitoring, backfills, recovery
Make long-term architectural and scalability decisions
Partner with Product, ML, and Analytics teams as a platform owner
Qualification
Required
7+ years of Data Engineering experience
Senior/Staff-level ownership of production data platforms
Experience operating data platforms in Tier-1 enterprises
Strong background in distributed systems
Apache Kafka (production ownership)
Apache Spark (batch and streaming)
Python or Scala
Lakehouse technologies (Iceberg, Delta Lake, or Hudi)
Workflow orchestration (Airflow or equivalent)
Cloud platforms: AWS, GCP, or Azure
Data warehouses: Snowflake, BigQuery, or Redshift
Company
Applicantz
Empowering businesses of all sizes with access to bright talent for project solutions, staffing, and freelance expertise.
H1B Sponsorship
Applicantz has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2022 (1)
2021 (4)
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase