Senior Data Engineer

Jobtailor; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior data engineer to own the lifecycle of data products, build scalable pipelines, and partner with product and analytics teams to deliver trusted datasets. You will work across Snowflake, Spark, Airflow, and Hive to drive insights, automation, and governance.

The role emphasizes autonomy, collaboration, and mentorship, with a strong focus on data quality and scalable architecture in a fast-paced environment.

Qualifications

• 8+ years of software or data engineering experience.
• 5+ years in data architecture, modeling, data management, and metadata management.
• Ability to independently structure and own ambiguous, high-impact problems.
• Strong autonomy, resourcefulness, and creativity.
• Deep expertise in SQL.
• Experience designing scalable data pipelines across large datasets.
• Experience with relational and NoSQL data stores.
• Proficiency in Python or Java.
• Hands-on with Snowflake, Spark, Airflow, Hive.
• Experience with data governance, SDLC, and Agile methodologies.
• Excellent written and verbal communication skills.
• Bachelor's degree in CS/Engineering or related field (preferred).

Responsibilities

• Partner with Product teams and stakeholders to translate needs into scalable data models and metrics.
• Collaborate with Data Analytics, Data Science, and Engineering to build foundational datasets.
• Design, build, and scale data models and pipelines from multiple sources.
• Own metrics and data products from exploration to production and maintenance.
• Leverage AI-assisted development while ensuring data quality and maintainability.
• Build data foundations enabling automation and AI-native insights.
• Lead data strategy across teams, domains, and use cases.
• Expand access to trusted company metrics and enable self-service analytics.
• Document and promote data engineering best practices across the organization.
• Mentor engineers and provide hands-on technical guidance.

Skills

Data architecture

Data modeling

SQL

Python

Java

Data pipelines

Snowflake

Spark

Airflow

Hive

Relational databases

NoSQL

Dimensional modeling

Data governance

Agile SDLC

Communication

Education

Bachelor's degree in CS/Engineering or related field

Tools

Snowflake

Spark

Airflow

Hive

Job description

• Partner with Product teams and business stakeholders to identify high-impact questions and translate business needs into scalable data models, metrics, analyses, and technical solutions


• Partner with business domain experts, Data Analytics, Data Science, and Engineering teams to build trusted foundational datasets


• Design, build, and scale data models and pipelines integrating and transforming multiple data sources


• Own the lifecycle of metrics, analytical models, and data products from exploration and prototyping through production, adoption, and maintenance


• Leverage AI-assisted development while maintaining code quality, data quality, and maintainability


• Build data foundations enabling automation and AI-native insights and decision-making


• Lead data strategy across teams, domains, and use cases


• Expand access to trusted company metrics and enable self-service analytics


• Establish, document, and promote data engineering best practices across Slack


• Mentor engineers and provide hands-on technical guidance

Requirements

• 8+ years of overall software engineering or data engineering experience


• 5+ years of hands-on experience with data architecture, data modeling, data management, and metadata management


• Ability to independently structure and own ambiguous, high-impact problems


• Strong autonomy, resourcefulness, and creativity


• Deep expertise in SQL


• Experience designing scalable data pipelines and data transformations across large and complex datasets


• Experience architecting and optimizing data models, schemas, and processing workflows


• Proficiency in at least one programming language commonly used in Data Engineering, such as Python or Java


• Hands-on experience with Snowflake, Spark, Airflow, and Hive


• Experience with relational and NoSQL data stores


• Experience with logging, columnar, star and snowflake schemas, and dimensional modeling


• Familiarity with data governance frameworks, SDLC practices, and Agile methodologies


• Excellent written and verbal communication skills


• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship experience, or relevant professional experience (preferred)

Core Competencies

Demonstrates extensive experience in data engineering, including data architecture, modeling, and management, with a strong focus on building scalable data pipelines and integrating complex datasets. Proficient in SQL and familiar with data governance frameworks, ensuring high-quality data solutions and effective communication across teams.

Highest-signal resume keywords

• Data Architecture


• Data Modeling


• SQL Expertise


• Data Pipeline Design


• Snowflake Proficiency

Hard Skills

• Data Engineering


• Data Management


• Data Transformation


• Data Governance


• SQL


• Python


• Java


• Data Modeling


• Metadata Management


• Dimensional Modeling

Soft Skills

• Autonomy


• Resourcefulness


• Creativity


• Communication

Industry Keywords

• Agile Methodologies


• SDLC Practices


• Data Analytics


• Data Science

Tools & Technologies

• Snowflake


• Spark
  
• Airflow


• Hive