Designing, implementing, and maintaining scalable data pipelines and orchestration workflows using Airflow and modern data stack technologies
Building and optimizing data ingestion processes from diverse sources to support analytics and business applications
Developing and maintaining analytics engineering workflows using dbt, SQL, and Python to transform raw data into analytics-ready models
Leading code reviews, establishing best practices, and mentoring junior engineers on data DevOps principles and tooling
Collaborating with analytics and BI teams to understand requirements and deliver robust data solutions
Monitoring pipeline performance, data quality metrics, and system health while implementing proactive improvements
Managing data infrastructure as code, CI/CD pipelines, and deployment automation for data applications
Documenting technical specifications, architectural decisions, to ensure knowledge sharing and maintainability.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience
7+ years of experience in data engineering, analytics engineering, or DevOps roles with demonstrated progression in technical complexity
Advanced proficiency in Python for data processing, automation, and application development
Expert-level SQL skills and hands-on experience with dbt for analytics engineering
Experience with workflow orchestration tools, preferably Apache Airflow, for managing complex data pipelines
Strong understanding of data warehousing concepts, ETL/ELT patterns, and modern data stack technologies
Proven ability to work collaboratively with cross-functional teams and translate business requirements into technical solutions
Excellent problem-solving skills with a track record of troubleshooting complex data issues and implementing scalable solutions
Commitment to continuous learning, staying current with emerging data technologies, and sharing knowledge with the team.

Benefits

Medical, dental, vision coverage
Disability insurance
Health savings account
Flexible spending accounts
Tuition reimbursement
401k match of 100% on up to 5% of eligible pay
Fertility and childcare assistance
12 weeks of parental leave at full pay after six months of continuous employment
Wellness resources including employee assistance program, fitness discounts, wellness reimbursement, on-site gym access (certain locations), and monthly wellness newsletter
120 hours of paid time off
11 holidays
Paid volunteer time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdbtdata engineeringanalytics engineeringDevOpsdata pipelinesETLELTdata warehousing

Soft Skills

problem-solvingcollaborationmentoringcommunicationleadershipknowledge sharingcontinuous learningtroubleshootingbest practices establishmentrequirements translation

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data EngineeringBachelor's degree in Information Systems