Senior Data Engineer: AI-Ready Data Pipelines (Hybrid)

Careers; Washington (District of Columbia); Hybrid; USD 104,000 - 127,000; Full time

Benefits offered by this job

Competitive pay and benefits

Education stipends

Referral bonuses

Volunteer and community engagement

Job summary

Ignite Digital is seeking a Senior Data Engineer to architect, build, and scale modern data pipelines, data models, analytics workflows, and AI-ready data environments supporting a high-visibility initiative. You will design data architectures and integrate data from multiple enterprise systems using APIs and ETL/ELT processes.

The role requires strong Python and SQL skills, experience with Snowflake or Databricks, and a track record of delivering data-driven solutions in Agile environments.

Qualifications

• Bachelor's degree in a technical field and 6 years of data engineering experience.
• Strong Python and SQL skills with experience building data pipelines.
• Experience designing scalable data architectures and integrating diverse data sources.

Responsibilities

• Architect, build, and scale modern data pipelines and analytics workflows.
• Develop AI-ready data environments and scalable data models.
• Collaborate across teams to deliver actionable insights for stakeholders.

Skills

Python

SQL

Data pipelines

ETL/ELT

APIs

Cloud data platforms

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering

Tools

Snowflake

Databricks

Job description

Ignite Digital is seeking a Senior Data Engineer to architect, build, and scale modern data pipelines, data models, analytics workflows, and AI-ready data environments supporting a high-visibility initiative. You will design data architectures and integrate data from multiple enterprise systems using APIs and ETL/ELT processes.

The role requires strong Python and SQL skills, experience with Snowflake or Databricks, and a track record of delivering data-driven solutions in Agile environments.