Senior Data Engineer
Capital One
AWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQL+8 more
Senior Data Engineer
Vitable Health
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaNoSQLPythonSQL
About the role
- Partner closely with business stakeholders to understand their data needs, identify key challenges, and define a comprehensive data strategy and roadmap for the organization.
- Design, develop, and maintain robust, scalable, and efficient data pipelines and data infrastructure. This includes data ingestion, transformation, storage, and access layers.
- Be willing to roll up your sleeves and perform significant hands-on technical work, coding, and debugging to bring our data vision to life.
- Lead by example, mentor junior data engineers as we grow the team, and contribute to best practices in data engineering, data governance, and data quality.
- Evaluate our current data maturity, identify gaps, and propose solutions to elevate our data capabilities and drive continuous improvement.
- Research, evaluate, and implement new data technologies and tools to enhance our data platform.
- Work cross-functionally with product, engineering, and business teams to ensure data solutions meet business objectives and integrate seamlessly with existing systems.
- Tackle complex data problems with innovative and pragmatic solutions.
Requirements
- 5+ years of experience in data engineering, with a strong track record of designing and implementing data solutions.
- Extensive experience with ETL/ELT tools and techniques, including batch and streaming data processing.
- Strong proficiency working in DBT.
- Strong proficiency with data warehousing concepts and data modeling.
- Expertise in cloud data platforms such as AWS (S3, Redshift, Glue, EMR, Athena), Google Cloud Platform (BigQuery, Dataflow, Cloud Storage), or Azure (Data Lake, Synapse Analytics, Data Factory).
- Strong proficiency in Python or Java for data pipeline development.
- Deep understanding of SQL and experience with various relational and NoSQL databases.
- Excellent communication and interpersonal skills, with the ability to translate complex technical concepts into clear business language.
- A "founding engineer" mindset: self-starter, proactive, adaptable, and comfortable with ambiguity and rapid iteration.
- Demonstrated ability to lead technical initiatives and influence technical direction.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Benefits
- 100% Silver Plan + Full Medical Coverage
- Dental and Vision Coverage
- 401(k) and Life Insurance
- Access to Vitable’s Primary Care membership
- Unlimited PTO
- Remote-first culture with a supportive team
- MacBook and any other gear you need
- Mentorship opportunities through First Round Capital
- Home office setup stipend
- Competitive equity package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTDBTdata warehousingdata modelingPythonJavaSQLNoSQL
Soft skills
communicationinterpersonal skillsleadershipmentoringproblem-solvingadaptabilityself-starterproactiveinfluencecollaboration
Certifications
Bachelor's degreeMaster's degree
