Data Engineer

Insight Global; Bellevue (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Insight Global is seeking a Data Engineer to design, develop, and optimize scalable data pipelines using AWS, Databricks, and Snowflake. You will transform complex data into analytics-ready datasets, ensuring performance, reliability, and cost efficiency, while collaborating with business teams to deliver actionable insights.

The role requires strong SQL and Python skills, plus experience in data quality, observability, and root-cause analysis to mitigate production issues.

Qualifications

• 5+ years developing cloud solutions as a Data Engineer.
• Bachelor’s Degree in Computer Science, Computer Engineering, or a related field.
• Clear and concise verbal and written communication; ability to explain technical concepts.
• Proven experience with AWS, Databricks, and Snowflake.
• Strong SQL and Python for data processing and analytics.

Responsibilities

• Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake.
• Ingest, transform, and curate data from multiple sources.
• Optimize pipelines for performance, reliability, and cost.
• Implement data quality checks, monitoring, and observability.
• Root cause analysis on data incidents and preventive fixes.
• Collaborate with analytics and business teams to deliver trusted datasets.

Skills

Data engineering

Cloud data pipelines

SQL proficiency

Python proficiency

CI/CD familiarity

Infrastructure as Code

Problem solving

Communication

Education

Bachelor’s Degree in CS/CE or related field

Tools

AWS

Databricks

Snowflake

Git

Terraform

Job description

Job Description

The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required.

Job Responsibilities

• Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake
• Ingest, transform, and curate data from multiple sources
• Optimize solutions for performance, reliability, scalability, and cost
• Implement data quality checks, monitoring, and observability for production pipelines
• Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence
• Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights
• Collaborate with analytics and business teams to deliver trusted datasets
• Mentor other team members in their efforts to build data engineering skillsets
• Assist team management in defining projects, including helping estimate, plan and scope work
• Prepare and contribute to presentations required by management

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process,

Skills and Requirements

• 5+ years developing cloud solutions as a Data Engineer
• Bachelor’s Degree in Computer Science, Computer Engineering, or a related field
• Clear and concise verbal and written communication; ability to communicate technical concepts to non-technical people
• Proven experience developing solutions with:
• AWS (Redshift, S3, Step Functions, Eventbridge, CloudWatch)
• Databricks (Spark, Delta Lake, Apache Iceberg, Unity Catalog)
• Snowflake
• Strong proficiency in SQL to write and optimize performance of large-scale analytics queries
• Strong proficiency in Python for custom data processing
• Familiarity with CI/CD, version control (Git), and automated testing for data pipelines
• Familiarity with Infrastructure as Code (Terraform, or similar)
• Solid understanding of data warehousing and dimensional modeling
• Ability to write detailed and comprehensive testing documentation. Strong focus on code quality with the ability to design and execute thorough tests.
• Ability to manage work across multiple projects, good organizational skills
• Ability to quickly learn new technologies and understand data flows and business concepts.
• Excellent problem-solving skills, attention to detail, and the ability to work independently.
• Proven track record of proactively identifying, performing root cause analysis on, and mitigating production data issues.
• Ability to conduct effective code reviews.
• Ability to interview without use of AI tools
• Hands-on experience integrating AI tools/solutions into data workflows to improve efficiency, automation, or developer productivity