or apply directly on Fampay's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 26 days Fampay's roles stay open a median of 44 days
- Reposted
- No
- Salary listed
- No 0% of Fampay's roles list one
- Ghost-job risk at Fampay
- low 0 stale, 3 reposted of 14 open
- Hiring momentum
- 20 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Fampay's own lever board since 2026-08-04. Full hiring picture for Fampay.
About this role
As a Data Engineer II at Fam, you will play a crucial role in developing a high-performance and scalable Data Lake-house, focusing on achieving sub-minute data latency and integrating batch and streaming compute. Your responsibilities will include managing complex CDC flows, optimizing distributed query engines, and leveraging AI tools to enhance the development lifecycle. You will also engage with stakeholders to improve business workflows through data and analytics.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fampay as an employer.
What you need
- 3–5 years of experience in Data Engineering with distributed systems and cloud-native architectures
- Expert-level proficiency in Python/PySpark and SQL
- Hands-on experience with AWS (S3, EKS, MSK) and Infrastructure-as-Code
- Experience with Airflow or Temporal for complex workflow management
- Proficiency in using AI tools (Claude, Codex, Copilot) for efficient coding
- Ability to explain trade-offs between different storage formats and processing frameworks
Nice to have
- Ownership of high-throughput ingestion from RDBMS to Lakehouse using Debezium, PeerDB
- Designing and optimizing table formats (Iceberg, Delta, Hudi) for performance and storage efficiency
- Developing robust ETL/ELT frameworks in PySpark and Flink
- Managing data workloads on AWS (EMR, EKS, MSK, S3) and automating via Gitlab/Github Actions
- Tuning Trino or Clickhouse for real-time dashboards in Metabase, Superset, and PowerBI
What you get
- Relocation assistance
- Free office meals (lunch & dinner)
- Generous leave policy including birthday leave, period leave, paternity and maternity support
- Salary advance and loan policies
- Quarterly rewards and recognition programs
- Access to the latest gadgets and tools
Worth weighing
- No salary listed
- The role emphasizes an AI-native mindset, which may require continuous learning and adaptation to new tools
- The tech stack includes a mix of modern and legacy technologies, which could impact the learning curve
Summarised from Fampay's posting. Read the full original.
Listed by Fampay on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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