Data Engineer

Summary

Join Niche's Data Engineering team as a skilled Data Engineer to build and support data pipelines handling complex data. You will develop and maintain data warehouse components for analysts and applications. This role involves designing scalable, secure pipelines, ensuring data accuracy and performance, and collaborating with cross-functional teams. You will also contribute to platform evolution and developer enablement. The position offers opportunities for professional growth and impact within a fast-growing company.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
• 3-5 years of experience in data engineering
• Demonstrated experience of building, and supporting large scale data pipelines - streaming and batch processing
• Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability
• Proficiency in Python, SQL, Snowflake, Postgres, DBT, Airflow, Docker, Kubernetes, Kafka
• Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery
• Knowledge of data modeling techniques (3NF, Dimensional, Vault)
• Self-starter, analytical problem solver, highly attentive to detail, effective communicator, and obsessed with good documentation

Responsibilities

• Design, build, and maintain scalable, secure data pipelines that ensure data accuracy, availability, and performance
• Develop and support data models, warehouse tables, and views for analysts and downstream applications
• Ensure observability and quality through monitoring, lineage tracking, and alerting systems
• Implement and maintain core data infrastructure and tooling (e.g., dbt Cloud, Airflow, RudderStack, cloud storage)
• Collaborate cross-functionally with analysts, engineers, and product teams to enable efficient data use
• Integrate governance and security controls such as access management and cost visibility
• Contribute to platform evolution and developer enablement through reusable frameworks, automation, and documentation
• Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
• Build relationships with data engineering team members, understand the day to day operating model, and stakeholders that we interact with on a daily basis
• Start to learn about our data platform infrastructure, data pipelines, source systems, and inter-dependencies
• Start participating in standups, planning, and retrospective meetings
• Start delivering on assigned sprint stories and show progress through completed tasks that contribute to team goals
• Start delivering on assigned data engineering tasks to support our day to day, and roadmap
• Start troubleshooting production issues, and participating in on-call activities
• Identify areas for improving data engineering processes, and share with the team
• Contribute consistently towards building our data platform, which includes data pipelines, and data warehouse layers
• Start to independently own workstreams whether it is periodic data engineering activities, or work items in support of our roadmap
• Deepen your understanding, and build subject matter expertise of our data & ecosystem
• Your contributions have led to us making significant progress in implementing the data platform strategy, and key data initiatives to support the company's growth
• You’ve established yourself as a key team member with subject matter expertise within data engineering

Preferred Qualifications

Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus

Benefits

• Our national target base salary range is $93,000-$116,000, plus participation in our Annual Bonus and Stock Option Program
• Base compensation will be commensurate with experience and skills
• Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage
• Flexible Paid Time Off Policy
• Stipend that allows you to build your work from home office in a style and function that suits your personal preferences
• Parental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parents
• Meaningful 401(k) with employer match
• We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits you