Equiti · 22 hours ago
Senior Data Engineer
United States
Full-time
Remote
Senior Level
5+ years expEquiti is seeking a highly skilled Senior Data Engineer to lead the next phase in the evolution of their data environment. In this role, you will build the infrastructure that powers customer insights, financial reporting, and self-serve analytics, ensuring data readiness for stakeholders.
Hospital & Health Care
Responsibilities
Design and implement scalable data pipelines and platform components, leveraging tools such as Databricks, Airflow, and AWS Aurora
Partner with Product and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases and marketing platforms
Lead technical vision and architecture with a holistic point of view on both short-term and long-term horizons
Define and implement data quality frameworks and monitoring systems to ensure ongoing trust in data assets. Enable real-time data presentation to facilitate management of a world-wide workforce
Enable external use cases like customer-facing dashboards, self-serve analytics, and bulk data transfer
Devise migration strategies to ensure data integrity and minimize downtime
Define data quality frameworks to measure and monitor data quality across the enterprise
Implement and maintain robust security measures to protect sensitive data. Ensure compliance with relevant data privacy regulations
Collaborate with technical leadership and contribute to the evolution of data engineering best practices
Serve as a subject matter expert on data engineering technologies, including Databricks, Airflow, and AWS Aurora. Provide guidance and support to development teams on data engineering best practices to ensure efficient data access and integration
Collaborate with database engineers, data analysts, and application developers to understand data requirements and ensure data platform alignment
Stay up to date with the latest data engineering technologies and trends
Qualification
Required
Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of 5 years of experience as a Data Engineer
Proven experience in data warehouse design, implementation, and maintenance using Databricks (Delta Lake, Autoloader, Unity Catalog, Jobs) and dbt
Python + SQL (Spark) development experience
Knowledge of data pipeline tools like Apache Airflow and Kafka (MSK)
Experience working with AWS cloud infrastructure, including S3, IAM/KMS, Aurora Postgres and RDS Postgres
Postgres DBA depth: query tuning, autovacuum/fillfactor, EXPLAIN, Liquidbase familiarity
Proficient with BI tools like Sisense, Power BI, or Tableau
Real-time ETL - Kafka streaming, (MSK/SQS)
Comfortable standardizing metrics and enabling trusted, consistent access to data
Excellent problem-solving and troubleshooting skills
Strong communication and interpersonal skills
Ability to work independently and as part of a team
Preferred
Candidates who demonstrate strong cross-functional communication skills and an interest in developing into leadership roles over time
Experience in a highly regulated industry (healthcare, banking, etc.)
Experience with database performance tuning and optimization techniques
Knowledge of scripting languages (e.g., Python, PowerShell)
Familiarity with Salesforce and its data structures
Company
Equiti
Equiti empowers providers and underserved communities with advanced technology and actionable insights.
201-500 employees
H1B Sponsorship
Equiti has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2020 (1)
Funding
Current Stage
Growth StageRecent News
PR Newswire
2024-05-05
2024-05-05
Company data provided by crunchbase