Senior Data Engineer

Daxko; United States; On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Flexible paid time off

Health/dental/vision insurance

Monthly fitness reimbursement

401(k) matching

New-Parent Paid Leave

Casual work environments

Flexible work - remote & hybrid

Job summary

Daxko is seeking a Senior Data Engineer to own and evolve data pipelines and architecture across our product lines. You will collaborate with Data Science, Product, and Engineering to make data more reliable and accessible, coaching junior engineers and driving technical quality.

In this role, you will design ETL/ELT processes, optimize queries, and leverage Snowflake, Redshift, and Databricks to scale our analytics platform. A strong communicator thrives in Agile environments.

Qualifications

• 4+ years of data engineering or related software engineering experience.
• Expert-level SQL/TSQL and query optimization.
• Python for pipelines and applications.
• Experience with columnar databases and cloud-native platforms (Snowflake/Redshift/Databricks).
• Experience designing ETL/ELT and dimensional models (Kimball a plus).
• Proven track record of production-grade code and Agile delivery.
• Strong communication skills for diverse stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines across product lines.
• Own data architecture decisions, schema design, ETL/ELT strategy.
• Identify bottlenecks and implement fixes for reliability and freshness.
• Lead and participate in code/design reviews.
• Collaborate with Data Science, Product, and Engineering to expand data use across the organization.
• Mentor junior engineers and uphold technical quality.
• Evaluate new data tools and methodologies to boost velocity.

Skills

SQL/TSQL

Python

Kimball modeling

Agile delivery

Communication

Tools

Snowflake

Amazon Redshift

Databricks

dbt

Airflow

Spark

Kafka

Kinesis

Docker

Kubernetes

AWS (Lambda/SNS/SQS)

Job description

As a Senior Data Engineer at Daxko, you'll own the data systems that power how our business understands itself. That means designing and building the pipelines, models, and architectures that feed reporting, analytics, and data platform capabilities across our product lines. You'll work alongside Data Science, Product, and Engineering teams to make data more reliable, more accessible, and more useful. This role is right for someone who brings both technical depth and a coaching mindset.

What you'll do

• Design, build, and maintain scalable data pipelines that support reporting, analytics, and platform needs across Daxko's product lines
• Own data architecture decisions at the product level, including schema design, data modeling, and ETL/ELT strategy using Kimball dimensional modeling and star-schema patterns
• Identify pipeline bottlenecks and performance gaps, then implement durable fixes that improve data reliability and freshness
• Lead and contribute to code and design reviews, giving actionable feedback grounded in data engineering best practices
• Partner cross-functionally with Data Science, Product, and Engineering to expand how data is understood and used across the organization
• Mentor junior and mid-level engineers, shaping team standards and driving a culture of technical quality
• Evaluate and adopt emerging data tools and methodologies to improve team velocity and platform capability

What you'll bring

• 4+ years of experience in data engineering or a closely related software engineering discipline
• Expert-level SQL/TSQL skills and deep experience with query optimization and data storage
• Proficiency in Python for pipeline and application development
• Hands‑on experience with columnar databases and cloud‑native platforms such as Snowflake, Amazon Redshift, or Databricks
• Experience designing ETL/ELT workflows and dimensional data models (Kimball methodology is a strong plus)
• A track record of writing well-tested, production‑grade code and working within Agile delivery frameworks
• Clear communication skills, with the ability to explain complex data decisions to both technical and non‑technical stakeholders

Nice to have

• 7+ years of experience in data engineering or software engineering with a data focus
• Experience with modern data platform tooling such as dbt, Airflow, or Spark
• Familiarity with real‑time streaming platforms (Kafka, Kinesis) or serverless query solutions (Athena, Redshift Spectrum)
• Experience with containerization (Docker, Kubernetes), REST APIs, or AWS services such as Lambda, SNS, or SQS

We truly care for our team members, and this is reflected through our offices, benefits, and great perks. These perks are only for our full‑time team members.

• Flexible paid time off
• Affordable health, dental, and vision insurance options
• Monthly fitness reimbursement
• 401(k) matching
• New‑Parent Paid Leave
• Casual work environments
• Flexible work - remote & hybrid

Additional Information

Daxko is dedicated to pursuing and hiring a diverse workforce. We are committed to diversity in the broadest sense, including thought and perspective, age, ability, nationality, ethnicity, orientation, and gender. The skills, perspectives, ideas, and experiences of all of our team members contribute to the vitality and success of our purpose and values.

All your information will be kept confidential according to EEO guidelines.