Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
150k – 175k/yr
Remote5+ YOEData Engineering
About the role
Responsibilities
Build and maintain clean, scalable data models and pipelines to support analytics and reporting using tools like Snowflake, dbt, and Databricks
Collaborate closely with stakeholders to understand business goals and translate them into data requirements and insightful data products
Develop and maintain user-friendly BI solutions to enable the monitoring and performance of key metrics
Build data models that match our robust data governance, data quality, and documentation
Lead the development of self-service analytics tools and data products that empower team members to independently explore data
Drive the implementation of best practices in data modeling, performance optimization, and reporting workflows
Qualifications
5+ years of experience in Business Intelligence, Data Analytics, or a related role
Advanced SQL skills and a strong understanding of data modeling concepts
Experience with modern data stack tools including Snowflake, dbt, and Databricks
Proficiency in at least one BI tool such as Omni, Tableau, or Looker
Strong understanding of data visualization principles and dashboard design
Basic experience or exposure to A/B testing and experimental analysis
Experience working cross-functionally with non-technical stakeholders
Excellent communication skills and the ability to present insights clearly to all levels of the organization
Senior Data Engineer responsible for building scalable ingestion pipelines, normalizing, and maintaining large-scale financial and alternative datasets from global vendors to support quantitative research and alpha generation. Requires 5+ years data engineering experience in finance/quant environments, strong Python/SQL/Linux skills, and deep knowledge of market/tick/reference data across asset classes.
150k – 200k/yr
On-site5+ YOEData Engineering
Senior Data and AI Platform Engineer
JellyfishUnited States
Senior individual contributor building and leading Jellyfish's Databricks Lakehouse platform to power enterprise analytics, BI, agentic AI workflows, and data science. Requires deep data platform engineering experience, strong Databricks expertise, Python/SQL skills, and ability to deliver governed, production-grade data foundations for AI.
150k – 230k/yr
Remote7+ YOEData Engineering
Sr. Data Engineer - US (Remote)
Luxury PresenceUnited States
Senior Data Engineer builds and scales high-throughput streaming pipelines for real estate data using Spark, Kafka, and Airflow on AWS. Requires 6+ years experience, strong Python skills, and daily AI integration in workflows.
150k – 190k/yr
Remote6+ YOEData Engineering
Senior Data Engineer, Public Sector
Scale AIWashington, DC
Build analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
150k – 259k/yr
On-site5+ YOEData Engineering
Senior Data Engineer
FetchUnited States
Senior Data Engineer building scalable batch and real-time data pipelines, feature stores, and low-latency serving systems to power Fetch's recommendation and audience targeting ML models. Requires 6+ years experience with Spark, Kafka, Flink, cloud infrastructure, and close collaboration with ML and backend teams.