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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and data modeling, with proficiency in Python, Java, SQL, and Scala. Capable of translating business requirements into scalable data solutions while ensuring adherence to data governance and security best practices.
Highest-signal resume keywords
Data EngineeringData ModelingPython ProgrammingData Lake ConceptsDatabricks Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData WarehousingData LakesData ModelingPythonJavaSQLScalaAPIsSoftware Testing
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
DatabricksBigQueryPalantirAirflowDagsterFivetranGCPAzure
Industry Keywords
Data GovernanceData SecurityCloud EnvironmentsOperational ApplicationsAnalytics
Tech Stack
Tools & technologiesAirflowAzureBigQueryCloudGoogle Cloud PlatformJavaPythonScalaSQL
About the role
Key responsibilities & impact- Leverage existing patterns and create new ones to rapidly onboard datasets into the data platform
- Understand business use cases and data context to design high-quality data models for operational and analytical needs
- Translate business requirements into scalable, adaptable system and data solutions
- Own deliverables while collaborating with and mentoring team members
- Conduct and participate in design and code reviews
- Communicate with business stakeholders to clarify requirements and context
- Operate as a forward-deployed engineer embedded with partner teams
- Build technology and pipelines that model varied data sources into reusable data models
- Support data consumers including operational applications, analytics, and metrics
- Maintain high-quality development and best practices throughout delivery cycles
Requirements
What you’ll need- 5+ years of experience in data engineering, data warehousing, data lakes, or software engineering with a data focus
- Strong data modeling skills
- Ability to work directly with business stakeholders to understand data needs
- Proficiency in Python, Java, SQL, and Scala
- Strong knowledge of Data Lake and Delta Lake concepts
- Understanding of data security and data governance best practices
- Hands-on experience with Databricks, BigQuery, or Palantir for building enterprise data platforms
- Familiarity with orchestration tools such as Airflow, Dagster, or Fivetran
- Experience working in cloud environments, preferably GCP or Azure
- Experience building and documenting best practices for software testing, data testing, and system documentation
- Experience working with APIs
- Bachelor’s degree in Computer Science or a related field, or equivalent experience with demonstrated commitment to continued learning and growth
- Comfortable with an on-site presence in Austin, Texas
- Must be able to work without visa sponsorship
- Full-time employment; C2C and C2H arrangements are not offered
Benefits
Comp & perks- Competitive compensation
- Generous vacation policy
- Paid holidays
- Paid sick time
- Medical insurance
- Dental insurance
- Vision insurance
- Company-paid short-term disability insurance
- Company-paid long-term disability insurance
- Company-paid group life insurance
- Company-paid Employee Assistance Program (EAP)
- Calm App subscription
- Employee-paid pet insurance
- Optional supplemental insurance coverage
- Vested 401(k) with company match
- Financial wellness programs
- Flexible Spending Account (FSA)
- Health Savings Account (HSA)
- Commuter benefits
- Paid maternity leave
- Paid paternity leave
- Fertility benefits
- Career growth and learning opportunities
- Wellness resources
- Employee discount programs
- Legal plan options
