Staff Data Engineer

. Set multi-quarter technical direction for the data platform with the Data Engineering Manager .

Posted 10/15/2026full-timeRemote • United StatesLead💰 $170,000 - $185,000 per yearWebsite

Tools & technologies

AirflowAWSAzureBigQueryCloudKafkaKubernetesPythonSQLTerraform

Key responsibilities & impact

Set multi-quarter technical direction for the data platform with the Data Engineering Manager
Turn project ideas into execution plans and drive clarity and alignment on large, ambiguous cross-functional projects
Build relationships with technical and non-technical partners and identify priority areas for intervention
Lead advocacy conversations and training to influence adoption
Architect and build scalable, robust, and efficient data platforms for analytic and operational needs
Review specifications and pull requests across the company to influence strong design decisions
Champion AI-assisted self-service analytics and AI-assisted development
Improve system performance, observability, reliability, and scalability
Identify new infrastructure and software patterns as needed
Share knowledge through technical documentation, code reviews, tech talks, mentoring, and proposed standards
Participate in the Data Engineering on-call rotation
Debug and troubleshoot complex problems across multiple systems and services
Partner with engineering and business teams to anticipate needs, strengthen the platform, and enable new capabilities

What you’ll need

8+ years building data or backend systems, including technical work spanning multiple teams
Expertise with AI-assisted software development
Expertise in Python for data pipelines and maintainable production software
Expertise with SQL and cloud data warehousing in Snowflake or BigQuery
Experience building software systems or partnering closely with software teams
Proficiency with containers and orchestration tools, preferably Airflow
Proficiency with infrastructure-as-code tools such as Terraform
Proficiency with Kubernetes, Kafka, and streaming data pipelines
Proficiency with cloud computing services such as AWS, Google Cloud, or Azure
AI-forward mindset and enthusiasm for AI adoption
Excellent written and verbal communication skills
Ability to tailor communication to different audiences and influence without direct authority
Commitment to team success, mentoring, learning, and self-motivated adoption of new tools and techniques
Must be based in the United States, excluding AK, DE, HI, IA, LA, MS, MT, OK, and SC
Must be legally authorized to work in the United States
Candidates must be 18 years of age or older

Comp & perks

Work remotely throughout the US or from the modern office in Manhattan, NY
Unlimited vacation policy
Paid volunteer opportunities
Technology stipend of $4,000 every 2 years
WFH stipend of $500 annually
Learning stipend of $500 annually
Monthly physical, mental, wellness and learning stipend through Holisticly
Monthly lifestyle stipend through Fringe
Full health benefits: medical, dental, vision, prescription, FSA, HRA, HSA, and family/dependent coverage
Traditional and Roth 401(k) plans through Vanguard with immediate company match
Basic, supplemental, and dependent life insurance
Short-term and long-term disability
Company-paid parental leave up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents
Family-building benefits through Progyny
DICK’S Sporting Goods and family-of-brands teammate discount
Incentive and equity included in the competitive total rewards package for eligible roles