Data Engineer

Remote (United States)

Employment Type

Full-Time

Compensation

Base salary range: $118,000 - $148,000 per year.

Additional compensation: This role is eligible for a discretionary annual cash bonus and participation in an equity incentive plan.

Starting compensation is determined based on job-related skills, experience, qualifications, interview performance, market conditions, and work location. Compensation ranges may change in the future, and exceptions may be made for exceptional candidates.

About the Role

This opportunity is for a Data Engineer to design, build, and scale the data systems that support analytics, experimentation, machine learning, and business decision-making across the organization.

This is a highly technical, hands-on role focused on modern data platform development. You will architect reliable pipelines, create analytics-ready data products, and collaborate closely with analytics, product, engineering, and business teams to ensure data is trustworthy, discoverable, scalable, and ready for use.

What You’ll Do

• Design, build, and maintain scalable batch and real-time data pipelines that support analytics, experimentation, and machine learning.
• Contribute to the architecture and ongoing maintenance of the data platform, with a focus on performance, scalability, and cost efficiency.
• Partner with analytics, product, engineering, and business teams to deliver high-quality data solutions that support measurable business outcomes.
• Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization.
• Promote strong data quality, reliability, and observability practices through testing, monitoring, lineage, and incident response.
• Contribute to engineering standards, reusable patterns, and data platform best practices.
• Improve infrastructure, developer workflows, CI/CD processes, and data platform tooling.

Qualifications

• 3 to 5 years of experience in data engineering or software engineering with a strong focus on data platform development.
• Proven experience building and scaling modern data platforms and delivering high-impact data solutions.
• Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• Strong interest in building reliable, accessible, and high-quality data products.

Technical Expertise

• Strong proficiency in Python and SQL.
• Experience with modern cloud data warehouses and data lakes such as Snowflake, BigQuery, or Databricks.
• Experience building batch pipelines using DAG-based orchestration tools such as Dagster or Airflow.
• Experience with event-driven architectures using technologies such as Kafka, Kinesis, or Event Hubs.
• Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming.
• Experience deploying applications and services to Kubernetes.
• Experience with Kubernetes ecosystem tools such as ArgoCD, Helm, or Istio.
• Experience applying DevOps concepts to data workflows, including CI/CD, observability, monitoring, and lineage.
• Experience with infrastructure-as-code tools such as Terraform.

Benefits

• Medical, dental, and vision insurance.
• 401(k) retirement savings plan.
• HSA or FSA eligibility.
• Long-term and short-term disability insurance.
• Mental health benefits.
• Fitness reimbursement program.
• 25% employee discount and membership benefits.
• Flexible paid time off.
• Group life insurance.
• Employee Assistance Program through AllOne Health.