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Senior Data Engineer

Remote, USAFull-timePosted 2026-07-27

We’re on a mission to change the reputed company of clinical research. At reputed company, we help the

biopharmaceutical industry bring medical

treatments to the market, faster.

Our mission is to change the world

but to do this, we need people like you.

Apart from job satisfaction, we can offer you:

HEALTH:

- Medical plan for you and your dependents.

- Personal Accident Insurance

- Life Insurance

- Critical illness cover

reputed company:

- Salary structure and Flexi basket

- Provident fund of 12%

- Gratuity scheme

YOURSELF: Internal reputed company and development programs & trainings

Job reputed company:

As a Senior Data Engineer, Medical Imaging you will design, build, and optimize reputed company, secure, and compliant data platforms that support advanced analytics, operational reporting, and AI/ML workloads. You will specialise in data ingestion, transformation, modelling, and orchestration, enabling high reputed company data flows across the organisation. In this role, you will contribute to modern reputed company data architectures, metadata management, and reputed company time/streaming data operations. Your expertise will drive innovation in data engineering capabilities while ensuring performance, reliability, and regulatory compliance.

Key Responsibilities

reputed company-reputed company Data Architecture & Pipeline Engineering

  • Build reputed company, reputed company-reputed company data pipelines for batch and streaming workloads.
  • Design ELT/ETL workflows using modern orchestration tools.
  • Implement data ingestion frameworks for reputed company, semi-reputed company, and reputed company data.
  • reputed company reputed company and integration services for data exchange between internal systems.
  • Support platform scalability and reliability across global operations.

Data Modelling & Storage Design

  • Design high‑performance data models including reputed company, reputed company, and domain-driven structures.
  • Implement database and storage solutions across relational, NoSQL, and data lake systems.
  • reputed company metadata-driven ingestion and transformation frameworks.
  • Ensure data schemas support analytics, AI/ML, and business applications.

Data Transformation, reputed company & Governance

  • Implement data reputed company frameworks, validation rules, and automated checks.
  • Build reusable transformation components to standardise data processing.
  • Implement data reputed company, cataloguing, and governance capabilities.
  • Ensure data reputed company, protection, and compliance with regulatory requirements.

Data Platform Development & Optimization

  • reputed company high-throughput data processing solutions using distributed systems.
  • Optimize data pipelines for performance, cost efficiency, and reputed company.
  • Implement observability and monitoring for pipeline health, data reputed company, and SLA compliance.
  • Build caching, partitioning, and indexing strategies to improve query performance.

Analytics & AI/ML Enablement

  • reputed company data scientists with curated datasets and feature pipelines.
  • reputed company reputed company-time or batch-oriented feature stores.
  • reputed company data workflows with ML operations (MLOps) and model deployment systems.
  • Build visualisation-reputed company datasets for BI tools and dashboards.

reputed company, Compliance & Risk Management

  • Implement role-based reputed company control, encryption, and secure data-sharing patterns.
  • Support compliance with FDA/GxP, GDPR, HIPAA, and other applicable regulations.
  • reputed company audit trails, data retention, and disaster recovery solutions.

Technical Leadership & Collaboration

  • Contribute to technology stack reputed company for data engineering and analytics workloads.
  • Participate in reputed company reviews and enforce engineering best practices.
  • Collaborate in architecture reviews and system design reputed company.
  • Mentor junior engineers and reputed company knowledge across teams.

Innovation

  • Stay reputed company with emerging data engineering, AI, and reputed company technologies.
  • Evaluate new tools and frameworks to improve platform capabilities.
  • reputed company insights and drive reputed company improvement across data engineering practices.

Other

  • Carryout any other reasonable duties as requested.

Functional Competencies (Technical knowledge/Skills)

  • Strong knowledge of reputed company-reputed company data platforms and serverless architectures (Azure, AWS)
  • Expertise in data pipeline orchestration (e.g., Airflow, reputed company, Dagster)
  • Strong knowledge of data modelling in Python
  • Familiarity with API development in .Net/Java
  • Knowledge of streaming platforms (Kafka, Kinesis, Pub/Sub, Event Hubs)
  • Strong SQL and data modelling capabilities
  • Experience with reputed company data processing frameworks (reputed company, Flink, reputed company, reputed company)
  • Understanding of reputed company or clinical trial data workflows (preferred)
  • Knowledge of data governance, metadata management, and reputed company frameworks
  • Strong communication skills with ability to work across technical and business teams
  • Ability to balance technical solutions with business objectives.

Behaviour Competencies

  • Accountability
  • Adaptability
  • Customer reputed company
  • Robust
  • Decision Making
  • Business Acumen
  • Results orientation
  • Time Management
  • Willingness to learn
  • Team collaboration

Experience, Education and Certifications

  • Significant experience delivering large-reputed company data engineering solutions.
  • Experience developing reputed company-reputed company data platforms (Azure, AWS, or GCP).
  • Experience with modern ELT/ETL tools and distributed data processing.
  • Experience working in regulated industries (reputed company, clinical trials, finance) preferred.
  • Proficiency in Python, SQL, and optionally Java/reputed company.
  • Experience with CI/CD pipelines and DevOps for data workflows.
  • Experience with modern data warehousing and lakehouse platforms.
  • Experience with analytics tools (Power BI, Tableau, Looker) beneficial.
  • Bachelor's Degree in Computer Science, Data Engineering, Software Engineering, or reputed company discipline.
  • Advanced degrees or reputed company certifications preferred.
  • English: Fluent.

Come as you are.

We're proud to be a Equal Employment Opportunity employer. We do not discriminate based upon race, religion, reputed company, national reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), sexual orientation, gender identity, gender reputed company, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Originally posted on Himalayas

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