Data Warehouse Engineer

Responsibilities

Design, build, and maintain automated data ingestion pipelines using Fivetran to extract data from source systems into the Snowflake data warehouse

Develop, test, and maintain data transformation models using dbt, following modular and version-controlled development practices

Administer and optimize the Snowflake environment, including performance tuning, warehouse sizing, and cost management

Write efficient, well-documented SQL for data extraction, transformation, and analysis

Implement data quality checks, automated testing, and monitoring within dbt and the broader data pipeline

Maintain clear documentation of data models, pipeline architecture, and data lineage

Troubleshoot and resolve data pipeline failures, data discrepancies, and performance issues in a timely manner

Collaborate with business intelligence, analytics, and software engineering teams to understand data requirements and deliver reliable data sets

Support data governance, security, and access-control practices within the data warehouse environment

Participate in code reviews and contribute to the team's engineering standards and best practices

Benefits

Medical, Dental, Vision after 30 days

HSA and PPO plans available

Company paid Life Insurance, AD&D, and Long Term Disability

401(k) with generous company match after 90 days

Supplemental Voluntary Benefits like Short Term Disability, Critical Illness, Accident, and Hospital Indemnity

Employee Assistance Program

$500 Referral Bonus Available!

BioTouch is a provider that offers a higher level of care in healthcare delivery.

West Haven, Connecticut, USA

https://biotouchglobal.com

Late Stage

Total Funding

unknown

Key Investors

Atlantic Street Capital

2018-01-01

Private Equity

Leadership Team

Steve Jensen

Chief Technology Officer

Paul Mauerman

Chief Financial Officer

Recent News

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Qualifications

Bachelor's degree in Computer Science, Information Systems, Information Technology, Data Engineering, or a related field, or equivalent combination of education and relevant work experience

Minimum of two (2) years of professional experience writing and optimizing SQL queries

Minimum of two (2) years of professional experience working with Snowflake or a comparable cloud data warehouse platform

Experience with Fivetran or a similar ELT/data ingestion tool is required

Experience with dbt (data build tool) for data transformation and modeling is required

Working knowledge of data warehousing concepts, including dimensional modeling, ELT/ETL design patterns, and data pipeline orchestration

Experience with a major cloud platform (AWS, Azure, or Google Cloud Platform)

Familiarity with version control systems such as Git and CI/CD practices for data pipelines

Experience with workflow orchestration tools (e.g., Airflow, dbt Cloud, or similar)

Familiarity with data governance

Minimum of two (2) years of professional experience writing and optimizing SQL queries.

Minimum of two (2) years of professional experience working with Snowflake or a comparable cloud data warehouse platform.

Required skills

SQL, Snowflake, Fivetran, dbt, Data Warehousing, Dimensional Modeling, ETL/ELT Design Patterns, AWS, Azure, or Google Cloud Platform, Git, CI/CD, Apache Airflow, Data Governance

Experience

2+ years