Data Engineer Jobs

About The Position

Requirements

• At least 4 years of experience developing in Python.
• At least 4 years of experience with SQL and Redshift, Snowflake, or BigQuery.
• At least 2 years working on AWS or an equivalent cloud platform.
• At least 2 years working with Airflow or comparable orchestration tools.
• Working knowledge of dbt for data transformation and modeling.
• Hands-on experience supporting BI tools such as Looker or Tableau.
• Experience with real-time ingestion tools such as Snowpipe, Stitch, Fivetran, or Kinesis.
• Experience working in an Agile development environment.

Nice To Haves

• Experience with Segment, Braze, Acoustic, or MoEngage data integrations.
• Familiarity with LookML and Looker semantic layer concepts.
• Experience with Google Analytics (GA4) as a data source.
• Knowledge of data quality frameworks, including dbt tests and schema tests, and CI/CD for data pipelines.
• Exposure to statistics, experimentation such as A/B testing, or basic ML concepts.

Responsibilities

• Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake.
• Build and maintain real-time, batch, and streaming data pipelines for analytics products and data-driven decisions across business functions.
• Design data structures to support real-time and near-real-time decision-making.
• Support MarTech data needs, including Braze, Acoustic, MoEngage, and Segment.
• Modify and maintain SQL and Python ELT processes that load data into Redshift and other warehouses.
• Troubleshoot and maintain Airflow/Jenkins orchestration jobs, working with DevOps and cloud management on underlying infrastructure.
• Fulfill ad-hoc data extract requests and other data engineering duties as required.
• Provide ad-hoc SQL and analysis support to business stakeholders when requests exceed the Data Analyst team’s capacity.
• Maintain and update Looker Explores and dashboards to ensure consistent, accurate data as warehouse structures change.
• Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables efficiently serve their needs.
• Develop, test, and maintain dbt models that transform raw data into clean, analytics-ready datasets.
• Contribute to unifying GA4, CRM, and other sources into a consolidated warehouse structure.
• Build modular, reusable data models for marketing funnels, segmentation, and campaign analytics.
• Implement basic automated data quality checks and validation rules in owned pipelines.
• Document data models and business logic for transparency.

Benefits

• Medical, dental, vision, and FSA benefits for eligible full-time, regular employees and their dependents.
• Healthcare and Dependent Care reimbursement programs.
• Employee Assistance Program (EAP) and Optum Care 24-hour confidential medical counseling services.
• Ten paid holidays per calendar year.
• Paid time off: 15 days during the first 12 months of continuous service and 22 days in subsequent years for full-time, regular employees; eligible part-time employees earn prorated PTO.
• Eligibility to participate in the 401(k) Plan starting on the employment start date.
• College tuition and education assistance programs.
• Udemy Learning courses and ongoing learning and development opportunities.