Lead Data Engineer (Up to 60LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯

This role is for one of our client companies — a VC-backed Logistics startup that has raised $23.8M USD in funding.

𝗦𝗮𝗹𝗮𝗿𝘆: Up to 60LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴

CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

🚀 𝗟𝗲𝗮𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (4+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)

We are seeking a hands-on Lead Data Engineer to design and scale the real-time pipelines and data infrastructure powering a high-volume mobility platform. If you thrive on owning end-to-end data systems and working with massive operational datasets, we want to hear from you.

🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼

• Design, build, and maintain scalable batch and real-time data pipelines.
• Develop reliable data ingestion systems across multiple databases, services, and event streams.
• Build and manage data warehouses, data lakes, and storage architectures for large-scale datasets.
• Design pipelines supporting CDC, streaming, incremental syncs, schema evolution, deduplication, and backfills.
• Work with engineering and business teams to understand data requirements and deliver robust data solutions.
• Optimize SQL queries, storage, and pipeline performance for high-volume workloads.
• Implement data quality checks, monitoring, alerting, reconciliation, and observability across pipelines.
• Build cost-efficient data architectures capable of processing millions of events.

✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂

• Strong hands-on experience in Data Engineering and building production-grade data pipelines.
• Experience working with both batch and real-time/streaming data processing.
• Strong understanding of Kafka, Redpanda, CDC, and streaming architectures.
• Experience with ETL/ELT pipelines, data lakes, and data warehouses.
• Strong knowledge of relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and ClickHouse.
• Experience with orchestration tools such as Airflow, Dagster, Prefect, or similar platforms.

✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?

• Build our data foundation from scratch with complete technical ownership.
• Scale logistics infrastructure to process millions of real-time shipments.
• Fast-track your career alongside elite engineers in a funded startup.
• Work onsite with a highly driven team solving complex physical problems.