Senior Data Engineer @ Accompany Health | Jobright.ai
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Accompany Health · 6 days ago

Senior Data Engineer

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Responsibilities

Be a data champion and seek to empower others to leverage the data to its full potential
Understand our complex data ecosystem
Work with the product team and stakeholders to translate business requirements for data into a technical roadmap and architecture
Act as the leading data domain expert and own platform data architecture
Lead the technical design and implementation of reliable, scalable, and efficient data infrastructure
Provide technical leadership to define overall data engineering best practices, standards, and architectural approaches
Identify, design, and implement internal process improvements
Create and maintain optimal data pipeline architecture with high observability and robust operational characteristics
Assemble large, complex data sets that meet functional / non-functional business requirements
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members
And more

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLRelational DatabasesBig DataHealthcareRoot Cause AnalysisData TransformationMetadataMessage QueuingStream ProcessingData StoresData EngineeringComputer ScienceStatisticsInformaticsInformation SystemsProblem-SolvingConfidenceAnalytic SkillsProject ManagementOrganizational SkillsCross-Functional CollaborationSnowflakeNoSQLGolangPythonJavaC++ScalaSparkKafka

Required

Entrepreneurial and mission-driven with the ability to present ideas clearly and confidently
Advanced working SQL knowledge and experience with relational databases
Experience building and optimizing 'big data' data pipelines, architectures, and data sets, preferably with healthcare experience
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify improvement opportunities
Strong analytic skills for working with unstructured datasets
Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management
Successful history of manipulating, processing, and extracting value from large disconnected datasets
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
7+ years of experience in a Data Engineer role with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field

Preferred

Experience with cloud-based data warehouse: Snowflake
Experience with relational SQL and NoSQL databases
Experience with object-oriented/object function scripting languages: Golang, Python, Java, C++, Scala, etc.
Experience with big data tools: Spark, Kafka, etc.
Experience with data pipeline and workflow management tools like Airflow

Benefits

Medical clearance requirements including TB screen and proof of immunity or vaccination
COVID-19 vaccination requirement with accommodation for religious and medical beliefs

Company

Accompany Health

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Accompany Health provides comprehensive in-home care to patients who live in sometimes underserved regions.

Funding

Current Stage
Early Stage
Total Funding
$56M
2024-01-30Series A· $56M

Leadership Team

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Rahul Rajkumar
Chief Executive Officer and Co-Founder
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Company data provided by crunchbase
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