Senior Data Engineer - Scalable, AI-Ready Data Pipelines

Evolve Digital GmbH; United States; Remote; USD 155,000 - 165,000; Full time

Benefits offered by this job

Equity

401(k) with match

Parental leave (16–18 weeks)

Job summary

Evolve seeks a Senior Data Engineer to design and evolve its data ecosystem for analytics and ML workloads. You will lead data pipelines, optimize ELT workflows with dbt, Airbyte, Fivetran, and Python, and craft Snowflake data models for scalable, AI-ready datasets.

You’ll mentor engineers, improve observability, and collaborate with DevOps to optimize AWS infrastructure while upholding best practices in CI/CD and testing.

Qualifications

• 6+ years in data engineering, architecture, or related technical roles.
• Deep experience with SQL and Python for data transformation and automation.
• Hands-on experience with modern data stack tools such as dbt, Airbyte, Fivetran, and Snowflake.
• Strong understanding of cloud technologies, particularly AWS (S3, Lambda, EC2, IAM).
• Familiarity with open data formats and scalable data lakehouse principles (Iceberg).
• Experience building and operating workflow orchestration tools such as Airflow.

Responsibilities

• Shape the design of scalable, modular, and performant data systems.
• Collaborate with cross-functional teams to deliver reliable data pipelines for analytics, reporting, and data science.
• Develop and optimize ELT workflows using Airbyte, Fivetran, dbt, and Python.
• Design and maintain data models in Snowflake, including star schemas.
• Improve data observability with proactive alerting, monitoring, and incident response.
• Collaborate with DevOps to optimize AWS-based infrastructure for performance and cost.

Skills

SQL

Python

Data engineering

Data pipelines

Mentoring

Tools

dbt

Airbyte

Fivetran

Snowflake

Airflow

AWS

Job description

Evolve seeks a Senior Data Engineer to design and evolve its data ecosystem for analytics and ML workloads. You will lead data pipelines, optimize ELT workflows with dbt, Airbyte, Fivetran, and Python, and craft Snowflake data models for scalable, AI-ready datasets.

You’ll mentor engineers, improve observability, and collaborate with DevOps to optimize AWS infrastructure while upholding best practices in CI/CD and testing.