Senior Data Engineer

About Us:

Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced
Senior Data Engineer
to play a pivotal role in future success.

Company Website-

Job Description:

We're looking for a
Senior Data Engineer
to lead the design, implementation, and optimization of our analytical and real-time data platform. In this hybrid role, you'll combine hands-on data engineering with high-level architectural thinking to build scalable data infrastructure with ClickHouse as the cornerstone of our analytics and data warehousing strategy.

You'll work closely with engineering, product, analytics, and compliance teams to establish data best practices, ensure data governance, and unlock insights for internal teams and future data monetization initiatives.

Responsibilities:

Architecture & Strategy:

• Own and evolve the
  target data architecture
  , with a focus on
  ClickHouse
  for large-scale analytical and real-time querying workloads.
• Define and maintain a
  scalable and secure data platform architecture
  that supports various use cases including real-time analytics, reporting, and ML applications.
• Set
  data governance and modeling standards
  , and ensure data lineage, integrity, and security practices are followed.
• Evaluate and integrate complementary technologies into the data stack (e.g., message queues, data lakes, orchestration frameworks).

Data Engineering:

• Design, develop, and maintain robust
  ETL/ELT pipelines
  to ingest and transform data from diverse sources into our data warehouse.
• Optimize
  ClickHouse schema and query performance
  for real-time and historical analytics workloads.
• Build data APIs and interfaces for product and analytics teams to interact with the data platform.
• Implement monitoring and observability tools to ensure pipeline reliability and data quality.

Collaboration & Leadership:

• Collaborate with data consumers (e.g., product managers, data analysts, ML engineers) to understand data needs and translate them into scalable solutions.
• Work with security and compliance teams to implement
  data privacy, classification, retention, and access control policies
  .
• Mentor junior data engineers and contribute to hiring efforts as we scale the team.

Qualifications:

• 5-7 years
  of experience in
  Data Engineering
  , with at least
  2-4 years
  in a
  Senior or Architectural
  role.
• Expert-level proficiency
  in
  ClickHouse
  or similar columnar databases (e.g., BigQuery, Druid, Redshift).
• Proven experience designing and operating scalable
  data warehouse and data lake architectures
  .
• Deep understanding of
  data modeling
  ,
  partitioning
  ,
  indexing
  , and
  query optimization
  techniques.
• Strong experience building
  ETL/ELT pipelines
  using tools like Airflow, dbt, or custom frameworks.
• Familiarity with
  stream processing
  and
  event-driven architecture
  (e.g., Kafka, Pub/Sub).
• Proficiency with
  SQL
  and at least one programming language like
  Python
  ,
  Scala
  , or
  Java
  .
• Experience with
  data governance
  ,
  compliance frameworks
  (e.g., HIPAA, GDPR), and
  data cataloging
  tools.
• Knowledge of
  real-time analytics
  use cases and streaming architectures.
• Familiarity with
  machine learning pipelines
  and integrating data platforms with ML workflows.
• Experience working in regulated or high-security domains like
  Healthtech
  ,
  Fintech
  , or
  Enterprise SaaS.