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Staff Data Engineer

Job

Harnham Search and Selection Limited

Remote

$225,000 Salary, Full-Time

Posted 2 days ago (Updated 1 day ago) • Actively hiring

Expires 6/7/2026

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Job Description

INFO SALARY
$200000
  • $250000 LOCATION New York
JOB TYPE
Permanent Staff Data Engineer Location:
New York, NY (Hybrid)
Pay:
$200k
  • $250k Base Overview This Staff Engineer role sits within a growing data engineering organisation supporting multiple product lines inside a modern digital media and analytics company. The position plays a critical role in shaping shared data architecture, enabling cross‑platform collaboration, and driving the company's AI and generative AI roadmap. You'll act as a senior technical leader
  • influencing architectural direction, mentoring engineers, and remaining hands‑on with production systems
  • ensuring data platforms scale coherently as products and teams continue to integrate and evolve.
Responsibilities Design, own, and evolve shared data architecture across multiple product platforms Establish scalable patterns and standards for data modelling, pipelines, and observability Lead technical strategy for integrating data products across teams to enable cross‑platform insights Drive the AI and backend infrastructure roadmap, including pipelines supporting ML and LLM‑powered features Collaborate closely with product, engineering, and ML teams to translate business needs into durable architectural decisions Mentor data engineers, identify skill gaps, and raise the overall technical bar across the organisation Evaluate and prototype emerging AI and generative AI technologies for real‑world product use cases Contribute to engineering planning, roadmap prioritisation, and support for production systems Must‑Have Qualifications 8+ years of experience in data engineering, data architecture, or a closely related field Proven experience designing and operating large‑scale data systems across complex, multi‑product environments Strong experience with cloud data warehouses (e.g. Snowflake, BigQuery, or equivalent) Hands‑on experience building batch and streaming data pipelines using tools such as Spark, Kafka, Airflow, or similar Demonstrated experience integrating AI / ML capabilities into production data systems, including LLMs or foundation models Strong Python proficiency and data architecture expertise Excellent communication skills with the ability to influence both technical and non‑technical stakeholders CONTACT Bekim Doçaj Principal Recruitment Consultant

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