Data Engineer – Business Units

Superhuman

. Build and maintain production data pipelines in Databricks processing product events, user activity, and agent interactions across Go .

Posted 10/22/2026full-timeUnited StatesJuniorMid-Level💰 $117,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and maintaining production data pipelines using Databricks and SQL, with a strong understanding of data modeling and warehouse design. Capable of collaborating with cross-functional teams to enhance data quality, optimize performance, and support decision-making through analytics and dashboards.

Highest-signal resume keywords

Production Data Pipeline DevelopmentSQL ProficiencyDatabricks ExperienceData Modeling ExpertiseWorkflow Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData Pipeline DevelopmentData ModelingTransformations OptimizationDebuggingPerformance TuningData Quality AssuranceAI-Assisted Development ToolsEvent LoggingBehavioral Data Analysis

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

DatabricksSnowflakeAirflowGitDatabricks Workflows

Industry Keywords

Data AnalyticsCloud Data WarehouseGrowth AnalyticsSelf-Service AnalyticsDashboard Creation

Tech Stack

Tools & technologies

AirflowCloudPythonSparkSQLGo

About the role

Key responsibilities & impact

Build and maintain production data pipelines in Databricks processing product events, user activity, and agent interactions across Go
Develop datasets for onboarding, activation, engagement, retention, and conversion
Collaborate with Product, Engineering, and Data Science to define measurements, improve event logging, and validate downstream data
Create understandable data models with clear definitions and documentation for self-service analytics and AI tools
Build focused analyses and dashboards to support data use and decision-making
Connect Go usage with customer and account data to measure adoption, customer value, and contribution to growth and revenue
Maintain accurate, current, and reliable datasets
Add tests and monitoring, investigate discrepancies, and fix underlying causes
Improve pipeline and query performance, manage compute costs, and maintain code quality
Contribute to design decisions and collaborate with Data Platform and Go teams

Requirements

What you’ll need

2+ years of experience building and operating production data pipelines
Highly proficient in SQL
Experience writing, debugging, and optimizing transformations in Databricks, Snowflake, or a similar modern lakehouse or cloud data warehouse
Understanding of data modeling and warehouse design
Ability to test work carefully, investigate unexpected results, and trace data issues to their source
Experience with workflow orchestration, version control, and deployment practices for data pipelines
Experience using tools such as Databricks Workflows, Airflow, and Git
Experience using AI-assisted development tools such as Codex, Claude Code, or Cursor, with responsibility for testing and validating generated code
Clear communication with technical and nontechnical partners
Experience with Python and/or Spark, product or growth analytics, event logging and behavioral data, AI products or agents, dashboards, or data tools is nice to have

Benefits

Comp & perks

Excellent health care, including medical, dental, vision, mental health, and fertility benefits
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
20 days of paid time off per year
12 days of paid holidays per year
Two floating holidays per year
Flexible sick time
Stipends for caregiving, pet care, wellness, home office, and more
Annual professional development budget and opportunities